Glean vs Relevance AI vs Coryntas: Pricing, Tradeoffs, and Business Fit

Consider a hypothetical services company handing a new customer from sales to delivery. The signed contract is in Google Drive. Sales promises are scattered across Slack. The CRM handoff is incomplete. An employee asks AI for an account summary and gets one within seconds. Three days later, the delivery owner is still unconfirmed, the promised dates disagree, and nobody has scheduled the kickoff.

Delivery needs an owner, confirmed dates, and kickoff tasks in the applications the team already uses. The agent has to get that work ready and keep the records consistent. Someone also has to update its behavior when the company introduces a new service or changes the handoff process.

Glean, Relevance AI, and Coryntas approach that purchase differently, with considerable overlap. Glean brings company knowledge, an assistant, and agents into a shared employee experience. Relevance AI gives teams a platform for building and adapting agents. Coryntas builds and manages agents that use business information and connected systems to carry work through. The buying decision includes who will build, operate, and improve the agents after launch.

Glean vs Relevance AI vs Coryntas: the short answer

Choose Coryntas when you want agents built and managed for your business. The agents use business information, policies, and connected tools to help employees, serve customers, and carry out operational work. Coryntas handles implementation and continuing agent management. Your team gets help with the work it already needs done, with a provider responsible for developing and maintaining the agents.

Choose Glean when employees need a shared workplace AI product. Its enterprise search, assistant, and agents give employees a common environment for finding company information, answering questions, and taking follow-up actions. The case for a broad rollout depends on how often people across the company use that environment.

Choose Relevance AI when your team wants to build and adapt agents directly. Its agent platform supports visual and natural-language creation. Staff or an implementation partner can configure the tools and workflows. A team that wants to make frequent changes itself gets direct access to the builder and takes on the corresponding maintenance work.

These choices overlap: Glean agents can act, and Relevance AI partners can help with implementation. Coryntas combines the agents with their development and continuing management. Compare the complete offer, including whoever will connect the applications, investigate failed requests, and update behavior after launch.

For Coryntas, deployment starts at $5,000 and monthly Core capacity costs $500. The pricing section explains the packages, included first period, and workload estimate. A small deployment and a larger deployment use the same company-wide runtime pool; agent and subagent usage draws from the package selected for that workload.

The customer stories below show how each approach has been used. For a budget comparison, go to pricing. The later sections work through the records, integrations, permissions, and pilot results that can determine whether a quoted solution fits your business.

What the customer stories tell you

Zillow's Glean deployment serves thousands of employees. Qualified uses Relevance AI in sales. Coryntas's OptyxStack and VPS deployments cover knowledge, customer service, sales, billing, and infrastructure operations. Each story measures a different part of the customer's work, so the reported figures answer different buying questions.

In Glean's Zillow case study, Glean reports 80% adoption across 7,000 employees and more than 1.5 hours of weekly search time saved per employee. The account covers knowledge access and employee-created agents. For a company considering thousands of licenses, adoption matters: the subscription has to help employees often enough that they keep using it.

Relevance AI's Qualified case study reports more than 35 agents, $7 million in pipeline over six months, and $500,000 in closed revenue. Pipeline describes opportunities; closed revenue describes converted business. For a sales-agent purchase, those outcomes need to be weighed alongside implementation, review, and maintenance costs, which the published figures do not fully itemize.

At OptyxStack, two production agents organize business information and answer employee questions about systems and customer data. Coryntas reports an 80% reduction in the work required to organize and store business data for that deployment. OptyxStack's own account also describes the information organization and employee support responsibilities.

For a global VPS provider, Coryntas carries support, billing and infrastructure work through to completion across infrastructure serving approximately 100,000 VPS. Across the supported recurring workflows, the provider estimates that agents handle up to 95% of task volume previously performed manually by staff. The deployment includes diagnosing technical problems, provisioning and migrations, billing, customer service, and sales. Coryntas also reports a 56% relative increase in the reactivation rate among customers inactive for more than a year, compared with the previous baseline. The customer's identity is withheld.

Employee adoption, sales revenue, information-organization effort, and manual task coverage cannot be ranked on one scale. The stories do show where each provider has delivered results. A buyer with similar work can examine that deployment, ask about maintenance, and test its own requests before committing to a forecast.

Maintenance shows up after launch

In a reference conversation, ask about the most recent workflow change or failed request. Who noticed it? Who repaired it? How much time did the customer's staff spend? A specific account of that work tells you more about maintenance than a general endorsement of the launch.

Compare the work your team can hand over

Return to the hypothetical sales handoff. An account summary helps delivery understand the customer. Completing the process also means checking the binding dates, getting an owner to accept responsibility, creating approved tasks, and recording the handoff in the CRM. The purchase should make clear how much of that work the agents will handle.

With Glean, evaluate the shared employee experience and the agent workflow proposed for this handoff. With Relevance AI, evaluate the tools and workflow your team or partner will configure. With Coryntas, evaluate the process the provider will build, deploy, and maintain for the delivery team. The same completed handoff gives each offer a comparable business result.

A missing delivery owner still needs a manager to assign one. Conflicting dates may need sales and delivery to resolve the commitment. The agent can assemble the relevant records, request the decision, and carry it into the connected systems once approved. Time spent on that review is part of the cost of completing the handoff.

The process also changes after launch. A new service might need a different delivery role and task sequence, which means revising the workflow and testing it again. That work falls to an employee, a partner, or the managed provider. Its price and turnaround belong beside the initial implementation in the comparison.

Bring one recent completed handoff and one awkward case to the conversation. The workflow-mapping guide explains how to capture the inputs, decisions, and outputs. Those examples give the suppliers a concrete job to price and your team a result to evaluate.

Glean pricing: user licenses and FlexCredits

What the user license and credit pool cover

Glean's Enterprise Flex pricing combines per-user monthly licensing with an organization-wide pool of FlexCredits. Fast Mode assistant use is included. Specified reasoning allowances and advanced capabilities are metered separately; agent runs and Deep Research use variable credits.

The published rate card gives approximate consumption percentiles:

Glean publishes consumption references for Enterprise Flex, but dollar license prices and the FlexCredit conversion require a quote. A budget needs the user license charge, included credit allowance, and price of additional consumption. Without all three, finance can calculate the access bill but cannot price regular agent use.

Enterprise Flex and legacy Enterprise have separate sections on the same pricing page, with different agent figures. A new Flex budget needs the Flex rates and the allowance in that proposal. Combining a legacy allowance with a Flex consumption rate would change the apparent cost without describing an available offer.

Licensed employees and active employees affect different costs

The user count, unit price, and contract term establish the fixed license cost. Source preparation and rollout add work before employees can use the product. Training and administration continue afterward. Those costs matter most when a company plans to license several departments at once but has only a small team available to prepare them.

Take a hypothetical company licensing 300 employees. If 240 use the product meaningfully in a month, the same subscription cost is spread across far more active users than if only 60 do. In the second case, subscription cost per active user is four times higher, even though the contracted bill is unchanged.

A departmental start leaves room to learn before licensing everyone, if the proposed contract permits it. Expansion may change user commitments, pricing, and terms. The launch population and the cost of adding another department therefore need to be explicit; a phased rollout cannot be budgeted from the company-wide headcount alone.

Scheduled agents can consume credits even when employees ask few questions. A recurring agent processing a large collection of records creates a different forecast from occasional assistant use. Headcount explains who receives access; the schedule, request volume, and complexity explain how much metered work the agents perform.

Use run consumption to model the workload

Suppose you are planning for 2,000 agent runs per month. Applying the published 7-credit reference to every run gives 14,000 FlexCredits. Applying 114 credits to every run gives 228,000. In this hypothetical workload, the two assumptions produce very different consumption totals. The dollar budget depends on which kinds of requests actually arrive, the included allowance, and the quoted credit conversion.

The 90th percentile describes a run in Glean's reference distribution. Applying it to every request does not produce a 90th-percentile monthly forecast. For the hypothetical handoff, a short account lookup and an investigation of a long customer history belong in different groups. Their expected frequency determines the monthly mix; a few difficult accounts should not set the assumed consumption for every account.

The pilot can supply that mix. Run a straightforward account, one with a long history, and cases with missing documents, rejected approvals, or a failed destination update. Keep the consumption record beside the result. A longer run may justify its credits by resolving more work, or it may reveal repeated searches that leave the employee with the same unanswered question.

Compare quoted scope before using contract benchmarks

Procurement benchmarks can help you prepare for a pricing conversation, but reported contracts often omit important details. The user population, billing term, product bundle, implementation services, and buying date can all affect the amount. Obtain a quote for your deployment before making a cost comparison.

An annual enterprise agreement and Coryntas's smallest one-time deployment fee cover different purchases. A twelve-month comparison adds runtime, implementation, users served, and staff work retained on both sides. The entry fee then shows the upfront commitment, while the annual total shows what it costs to keep the proposed work running.

Get the commercial and rollout commitments together

Read the Glean quote in two parts. The commercial terms specify users, term, included and metered capabilities, FlexCredits, additional usage rates, implementation help, and support. The rollout plan assigns source preparation, access setup, agent configuration, and training. A low quoted access price may still require substantial preparation by the customer.

Employee access and recurring agents also need different success measures. For access, departments can track whether staff use the product for recurring questions. For the handoff agent, delivery can check the destination records, approvals, and completed cases. One shared product can support both, but a single adoption figure will not establish whether the handoff works.

Relevance AI pricing: subscriptions, Actions, and Vendor Credits

Enterprise pricing requires a quote

At the October 4, 2026 pricing review, Relevance AI's pricing page presents an Enterprise offer with custom Actions and Vendor Credits, unlimited users and projects, and features including evaluations, access controls, and an account manager. The dollar price comes from sales, so the Enterprise budget begins with a proposal for your required features and workload.

Pro and Team still appear in the billing documentation. Their published rules explain balances and recharges; current new-customer prices and allowances need checkout or a proposal. An older entry-plan price may describe a workable experiment while omitting the access controls, capacity, or assistance required for the production purchase.

The move from experiment to production can change the subscription requirement. A builder trial may involve one employee and a few test records. Customer-facing work brings more users, access management, support needs, and processing demand. The production estimate needs to cover that arrangement rather than assume the trial plan will carry the live workload.

For Enterprise, negotiated allowances and terms determine the bill. The self-service documentation explains what Actions and Vendor Credits measure, but its recharge prices do not automatically price a custom contract. Use the quantities, conversion rates, and billing rules in the same proposal to avoid combining terms from different offers.

One request can use several Actions

Relevance AI's plans and credits documentation defines an Action as one Tool execution, including a failed execution. A Tool can contain several steps. Vendor Credits pay for model and tool-provider costs, with no markup and a bring-your-own-key option described in the documentation.

Published top-ups cost $80 per 1,000 Actions and $20 per 10,000 Vendor Credits. For Pro and Team, base Actions reset at renewal, purchased Action top-ups carry forward, and Vendor Credits roll over while subscribed. Enterprise customers need to confirm their pricing and rollover terms with their account manager.

An account brief might read a CRM record, retrieve related information, and prepare an update. Depending on the configuration, that request can execute several Tools. A Tool can also contain several steps, so counting boxes in the builder does not establish the bill. The usage record for the completed request shows what actually ran.

Actions and Vendor Credits can rise for different reasons. Another Tool execution adds an Action; a longer model response can use more Vendor Credits without another Tool call. That distinction helps a maintainer investigate a higher bill: did requests grow, did the workflow execute more Tools, or did each model interaction become more expensive?

Calculate top-ups after included allowances

Here is a hypothetical monthly calculation using the published top-up rates. All included allowances have been consumed and no purchased balances remain. The figures exclude the subscription, implementation, staff time, taxes, and external services billed separately.

Assume 2,000 requests, each using four billable Tool executions and 30 Vendor Credits. That requires 8,000 Actions and 60,000 Vendor Credits:

The purchased usage comes to $0.38 per incoming request. Subscription, review, correction, and maintenance still need to be added. If only part of the incoming work is completed, cost per completed case will be higher than the incoming-request figure. That difference becomes important when comparing an agent that produces drafts with one that completes the required updates.

Now change the design to seven Tool executions per request, keeping the assumed 30 Vendor Credits. The same 2,000 incoming requests use 14,000 Actions. Action purchases cost $1,120; Vendor Credits still cost $120. Total top-ups become $1,240, or $0.62 per request before the excluded costs.

Two of the additional executions might check the delivery owner and detect an existing kickoff task. If they prevent staff from repairing incomplete or duplicate handoffs, the higher usage cost may buy a better result. The pilot can show that tradeoff by measuring accepted output and review minutes alongside Actions consumed.

Pack boundaries affect cash purchases too. If demand reaches 8,010 Actions with no remaining balance, you need nine packs. The purchase costs $720 and leaves 990 Actions for later use under the applicable rollover terms. A finance forecast records that cash purchase; a per-request calculation may allocate only the portion consumed.

Include failed attempts and revisions in the forecast

A failed Tool execution counts as an Action under the published definition. Failed lookups, unavailable destinations, and repeated attempts therefore belong in the usage forecast. A reviewer asking for another draft can also create more work, depending on the configured agent.

Several attempts at one request deserve a separate entry in the pilot record. A missing source record points to information preparation; an unavailable destination points to application access or availability; an incorrect result points to agent behavior. Lumping them together as failed requests hides which repair could reduce future consumption.

Bundling steps into one Tool can reduce billable executions while making recovery more demanding. Suppose the Tool updates the CRM, then fails to create a kickoff task. Repeating the whole Tool risks repeating the successful update. A step record and a way to resume the unfinished operation become important, and their maintenance cost belongs beside the Action saving.

Set recharge rules around the work you need to protect

Relevance AI's spend controls describe automatic recharges for Pro and Team, with separate settings for the two balances. The documentation places no limit on the number of automatic top-ups. Enterprise uses separate arrangements; the proposed controls determine how its budget owner can authorize consumption and respond to a depleted balance.

A threshold authorizes the next recharge; repeated recharges can keep increasing the monthly bill. The budget owner needs access to the notifications and recharge settings. When further spending is declined, pending requests also need a route to staff. A company sharing agents across departments should decide whose budget authorizes those additional purchases.

Include deployment assistance and future maintenance

Relevance AI's agent platform provides the tools for building agents, and its expert partner directory offers a route to implementation help. Compare a partner-supported deployment with building the agents internally.

A partner quote should distinguish initial setup from continuing service. Initial agents, system connections, and maintainer training may be included in deployment. Monitoring, application changes, and future rule updates may have different fees or limits. Reading those commitments together with the platform quote shows what the combined purchase delivers after launch.

Training is valuable when an employee has time to use it. The intended maintainer will need to review live cases, investigate exceptions, and update rules during normal working hours. That is internal capacity the company is choosing to retain; a provider-operated offer prices another way to supply it.

Coryntas pricing: deployment and monthly capacity

Deployment pays for building and improving the solution

Coryntas's pricing separates a one-time Deployment & Continuous Development Fee from monthly usage. Deployment covers design, AI development, integrations, testing, and production deployment. Support, refinements, and improvements to the deployed system continue within its agreed operational scope while it operates with valid Coryntas usage, without a separate recurring development fee or additional minimum-consumption requirement.

The published packages are:

Essential and Professional have published fees of $5,000 and $15,000. Advanced starts from $50,000, with the final amount quoted; Custom is quoted separately. The proposal establishes the actual responsibilities, complexity, integrations, custom actions, storage, subagent roles, and acceptance criteria before the customer accepts the deployment.

The 10, 40, and 100 workflow references describe deployment breadth; monthly execution draws from the separate runtime package. Discovery establishes the design work for the actual process, including its approval roles, source records, and integrations.

One Essential or Professional agent can serve multiple authorized users. Advanced uses a lead agent and specialist subagents whose roles are agreed in the proposal. The illustrated workflows describe what the deployment handles; each is not a separately purchased agent. Adding authorized users does not multiply the deployment fee.

A workflow reference and a Relevance AI Action are different units. The first describes deployment breadth; the second counts a Tool execution during a run. One business handoff can involve several responsibilities and repeat a Tool as it processes records. There is no direct conversion from the workflow counts in the deployment table to a monthly Action bill.

The continuing development terms apply to the responsibilities agreed for the deployed system. Major new responsibilities, another department, or substantial integration development may require a separate quote. A new service line is a useful example to settle during discovery: does it refine the existing handoff or add a new job? Any additional work is quoted for approval before it begins.

Monthly capacity is shared across your workspace

Core, Growth, and Scale provide monthly runtime capacity for every agent and subagent in the company workspace:

The common meter covers LLM use, tool execution, compute, infrastructure, and related runtime. All packages use the same metering basis. The 1×, 10×, and 40× multipliers compare runtime capacity. Task throughput and processing requirements depend on the workload and are assessed separately. Growth has the same price per unit of capacity as Core. Scale costs 50% less per unit of capacity than Core.

Coryntas estimates monthly capacity from your request volume, recurring tasks, and representative examples before you choose a paid package. Pricing lists the available usage packages. Your mix of support replies, document processing, and business actions informs the estimate; deployment tier and monthly capacity are selected separately.

A short reply and a request that reads attachments, checks systems, and prepares changes require different amounts of work. If the workspace also handles CRM updates or documents, those tasks draw from the same pool. Separate examples cannot be added together as extra allowances.

The capacity estimate starts with the monthly work: ordinary requests, longer investigations, recurring tasks, and cases returned to a manager. Coryntas uses those examples to refine the estimate and review consumption drivers. Its published approach also includes recommending simplification, non-AI automation, optimization, or removal where the AI consumed costs more than the operational value of the task.

Deployment tier and monthly capacity can move independently. Volume growth can make an Essential deployment need more runtime. An Advanced deployment may fit a smaller continuing package than Scale. The estimate separates the complexity of building the solution from the amount of work it will run each month.

The included period starts when production activates

A new eligible workspace receives one included monthly period with its first deployment: Core with Essential, Growth with Professional, and Scale with Advanced. The period begins at production activation. Paid continuation requires the customer's agreement.

The included period applies once per new eligible workspace. Monthly capacity, including the initial allowance and any top-ups, expires at the end of its period. Use production activation and the monthly anniversary to plan consumption and purchases.

Additional capacity is available at the published package prices. A top-up joins the current period without changing the renewal date or recurring package.

Automatic top-up is off by default. If you enable it, you choose the additional package, replenishment threshold, and spending limit. Work requiring capacity pauses when capacity is exhausted and replenishment has not succeeded, including when the authorized limit has been reached. Reporting and package management remain accessible.

Monthly expiry matters for seasonal work. A top-up purchased near the end of the period has less time available for use, and it does not postpone renewal. Plan deadline-sensitive batches against the period dates and authorize replenishment before the remaining capacity interrupts them.

A Professional Agent first-year budget

Consider two hypothetical budgets for a $15,000 Professional deployment in a new eligible workspace. Both include one Growth usage period at production activation, followed by eleven paid monthly periods with the customer's agreement. They exclude extra capacity, major extensions, separately quoted services, third-party subscriptions, and taxes.

If the workload fits Core in each paid period:

$15,000 deployment + 11 × $500 Core = $20,500 in first-year supplier charges.

If the workload needs Growth in each paid period:

$15,000 deployment + 11 × $5,000 Growth = $70,000 in first-year supplier charges.

The included Growth period does not commit the customer to Growth for paid continuation. The $20,500 estimate assumes the workload fits Core in all eleven paid periods; the $70,000 estimate assumes it needs Growth in all eleven. A workload estimate determines which assumption is reasonable for the same Professional deployment.

Now include customer review time. Assume the business owner spends two hours per week reviewing decisions and coordinating work, valued at $75 per hour over 52 weeks. That adds $7,800 in internal effort. Combined first-year planning cost becomes $28,300 with Core continuation or $77,800 with Growth continuation, before the excluded costs.

At unchanged scope and rates, twelve paid Core periods in a subsequent year cost $6,000; twelve Growth periods cost $60,000, before other costs. The unchanged solution has no repeat deployment fee and no repeat included-period offer. A major expansion or changed commercial terms would require a revised forecast.

These totals separate supplier charges from customer effort. The deployment fee covers the stated continuing development terms; monthly capacity pays for runtime. Internal review, additional capacity, major extensions, and separately quoted items remain distinct, so none is hidden inside an assumed service retainer.

Match approval roles and support to the handoff

The handoff design changes with its approval roles. One delivery approval is different from separate commercial, security, and implementation decisions. The business needs to identify who can approve each step and which system records that decision. Discovery can then price the process those people actually use.

The public catalog sets no separate action or storage quotas by deployment tier. Custom actions, integrations, storage, and document processing are assessed in the proposal. Scanned records may need preparation or optical character recognition. Customer-owned third-party subscriptions are separate costs; runtime already covered by shared capacity should not be counted again as a development fee.

Support is available 24/7 across packages, including weekends and public holidays. Initial team-response targets are 60 minutes for standard requests, 15 minutes for high-priority issues, and five minutes for critical incidents. Priority follows business impact. The clock starts when the request reaches the agreed support channel; an automated acknowledgement does not count as the team's response.

The targets cover the team's initial response; diagnosis, repair, and recovery depend on the incident. Advanced adds a dedicated operations contact for coordination, alongside 24/7 team support. A contractual SLA or recovery deadline would need to be agreed separately in the proposal, where the affected process and business impact can be assessed.

In the hypothetical handoff, a changed delivery rule needs an approved business instruction; an unavailable CRM needs technical investigation. Coryntas handles the implementation and technical work covered by the service. The customer supplies the rule or access decision. A support report identifying the affected case and unfinished work helps the request reach the right person.

Compare the full cost over twelve months

Give the shortlist one workload description: request volume, teams, source systems, approval roles, and the point at which a case counts as complete. Otherwise, two quotes can appear comparable while one buys draft generation and the other also handles approvals and destination updates. The missing work will still have to be performed after the cheaper offer is purchased.

Separate supplier invoices, staff time, third-party costs, and unresolved items. Deployment is an upfront charge; access, consumption, support, and changes may recur. Reviewers, administrators, and maintainers contribute internal hours. That separation lets finance see which amounts are payable invoices and which represent capacity the company must make available.

An integration marked "to be assessed" leaves delivery and price unresolved. The supplier may still need to inspect its operations, permissions, and error behavior. Show the confirmed charges and the pending integration separately until that assessment is complete. A total that silently assigns the unknown work a zero cost understates the purchase.

Compare the invoice with the staff work retained

Consider two fictional proposals, A and B, for 1,200 accepted requests per month, or 14,400 per year. These are worked budget examples rather than offers from Glean, Relevance AI, or Coryntas. Both include implementation and forecast usage in supplier charges; internal time is valued at $75 per hour over 52 weeks.

Proposal B costs $16,000 more on the supplier invoice but assumes five fewer internal hours each week. At the stated hourly value, that reduces annual internal effort by $19,500 and puts the combined planning cost $3,500 below Proposal A. B wins this calculation only if the five-hour difference holds. Measure the staff time during a pilot before using that assumption in the purchase decision.

The five hours can help an employee handle more customers or clear overdue work even if payroll stays unchanged. Cash savings require a spending decision, such as avoiding a planned hire. Management should choose the benefit it intends to realize: treating the same time as both lower payroll and capacity for additional revenue would count it twice.

Divide by accepted work

Suppose a business spends $2,000 in a month supporting 1,000 incoming requests. With 900 accepted outcomes, cost is approximately $2.22 per accepted request. With 500, it is $4.00. The $2.00 figure per incoming request leaves completion out of the calculation.

For a research brief, acceptance may mean an employee can use the source-linked answer. For the customer handoff, it may require approved records, an assigned owner, and created tasks. A correctly rejected unauthorized request can also be an accepted result. Set those rules before counting completed cases.

Human-assisted cases can still be accepted work. A brief approval may be the appropriate design, while a lengthy investigation of an incorrect update is repair. Recording those minutes separately helps compare both frequent small reviews and rare expensive mistakes. The managed-agent metrics guide covers acceptance alongside quality and cycle time.

Model more requests and more complex requests separately

Growth changes more than the number of customers. Larger accounts may bring longer histories, more documents, and additional approvers. Even at the same incoming volume, those requests can consume more runtime and staff review. Forecast the changing request mix alongside the increase in volume.

More of the existing handoffs mainly adds processing demand. A new service can add an application, delivery role, or approval step and require implementation work. Keeping those charges separate shows whether the business is paying to run more of an existing job or to make the agents handle something new.

Glean: company knowledge across teams

Several teams can use the same company knowledge

Glean deserves a close look when employees repeatedly ask where a decision was recorded, which document is current, or who handled a similar customer problem. Sales, support, product, and engineering may rely on much of the same information while using it for different jobs.

A sales representative looking for account history and an engineer checking an earlier implementation decision can use the same search and assistant product. Their records and permissions differ, though. A rollout needs examples from both groups; good results with the sales documents alone cannot establish the value of engineering licenses.

Glean's agent product adds creation, orchestration, a library, and monitoring to information access. That supports evaluating a repeatable process as part of the purchase. In the handoff, the account brief and follow-up actions can be checked separately: delivery needs the right information and the corresponding records in its applications.

Test with employees who have different access

Invite people with different roles, tenure, and permissions. An experienced manager may recognize an outdated answer immediately; a new hire may accept it. A restricted frontline role may see a different set of source records. Those differences matter if the subscription is meant for all of them.

An outdated answer may come from an obsolete source. An incomplete answer may come from restricted access or missed information. Each calls for a different repair by the content owner, administrator, or agent maintainer. The pilot should make those causes visible so the rollout plan allocates time to the actual preparation required.

Decide which actions can run unattended

Glean's scheduled-agent guidance describes administrator control over unattended write tools and moderator review before publication. The user-activated scheduled agents covered by that guidance respect the executor's identity. Other agent identity models have separate documentation. The model selected for the handoff determines whose permissions govern its unattended work.

For the handoff, suppose task creation can run unattended but a customer deadline needs a manager's approval. The demonstration should show what that manager sees and what happens after a rejection. If an administrator can edit the agent but cannot authorize its release, the configuration must also enforce that separation of roles.

The administrator can configure a boundary only after the business defines it. Permitted CRM fields, message recipients, and approval decisions need to be specific. Keeping those rules with the acceptance cases gives later maintainers a way to check whether a proposed edit preserves the intended behavior.

When a broad rollout is harder to justify

A broad rollout is harder to justify when the company mainly wants one recurring process completed and expects little use of the surrounding product. The quote needs to reflect the actual employees and work served. As more teams have regular uses for search, the assistant, and agents, the shared product has more opportunities to earn its cost.

Source preparation and workflow ownership still need customer staff. An unresolved commercial policy, for example, requires a decision from the business before an agent can apply it consistently. The rollout plan should account for those people and their time alongside implementation assistance in the offer.

Relevance AI: specialist agents your team can adapt

Put the future maintainer in the evaluation

A revenue operations team that changes qualification rules frequently may want direct control over its agents. The team knows which account details matter, what sales wants to review, and how the pre-meeting brief should read. Relevance AI's builder is relevant when those people want to turn that knowledge into working agents themselves.

Let the intended maintainer change a qualification rule and investigate a failed request during the evaluation. They should be able to explain what changed and test the next run. If routine edits need supplier help, budget for that help; if staff can make them directly, the builder gives them a way to respond without waiting for an implementation request.

Give each agent a named owner

Two agents updating the same customer record can leave staff unsure which one changed a field. Each needs a named maintainer and a record of its job, users, connected systems, and last accepted change. Assign the fields and decisions each agent handles, so an incorrect update can be traced to the workflow that produced it.

The owner needs time to remove obsolete behavior as well as investigate failures. A qualification agent can keep applying an old sales rule after the team changes its process. Reviewing that rule is ordinary maintenance, and somebody needs to have it in their responsibilities before the mismatch reaches customers.

A handover test shows whether the original builder has become indispensable. Ask another team member to inspect the workflow, explain the approval rules, and diagnose an example exception. The visual configuration helps with inspection; documentation supplies the business reasons behind it. Both matter when the first maintainer is unavailable.

A partner can take on part or all of that work. Its continuing offer needs to identify the customer's records and documentation, the change-request route, and the responsibilities staff retain. Adding the partner's fees to subscription and consumption produces the platform-and-service cost to compare with a managed deployment.

Waiting time matters when requests arrive together

Relevance AI's system quotas distinguish simultaneous task capacity from Actions and Vendor Credits consumed. Subscription tiers set concurrency, additional work queues when capacity is reached, and Enterprise capacity can be customized.

Requests arriving together can spend time in a queue even when the monthly credit budget is sufficient. An overnight research batch may tolerate a wait; an inbound sales enquiry can lose value before processing starts. The pilot needs the expected arrival pattern as well as isolated test runs.

Queue time and completion time establish how much simultaneous processing the workload needs. Those results inform concurrency and service terms in the quote. The credit forecast alone cannot show whether agents will meet an inbound-response target during busy periods.

When you need more help than the subscription provides

If nobody is available to maintain agents, the subscription needs to be considered with an operating service. Deployment assistance or a partner can supply that capacity, with its own fees, change allowances, and response commitments. The combined offer is the relevant purchase for a team that wants the work handled for it.

Failures, approval changes, and application updates continue after initial setup. A partner-operated Relevance AI deployment can be compared with Coryntas's continuing management. An internally operated deployment needs staff time and skills in its budget. The builder offers direct control when the company assigns people to use that control.

Coryntas: agents built and managed for your business

Start with a job your team already needs done

Coryntas builds and manages AI agents that understand the business, handle complex work, and help teams achieve more. The work can span employee knowledge, customer requests, commercial follow-up, billing, and infrastructure operations. Coryntas handles the design, integrations, testing, deployment, and continuing improvements, so the customer can use the agents without assigning its own team to build and maintain them.

The delivery team can evaluate a proposal through the records it expects: an account brief, CRM status, accepted owner, kickoff tasks, and a route for unresolved decisions. Inputs, permitted actions, and approvals define how the agents produce those results. That makes the proposed implementation reviewable before the team depends on it.

The production examples show two different kinds of work. At OptyxStack, agents organize business information and answer employee questions about systems and customer data. At the global VPS provider, agents investigate technical problems, handle billing and service changes, support sales, and operate infrastructure. The provider's IP-change workflow can proceed from the customer request through policy checks, confirmation, billing, payment verification, the infrastructure change, and the result reported to the customer.

Assign maintenance work between provider and customer

A managed deployment lets the operations lead concentrate on customer service, delivery, or infrastructure while Coryntas maintains the agents supporting that work. The business supplies its policies and decisions; Coryntas implements the agent behavior and manages the technical work behind it.

For the handoff, consider a new service with a different delivery sequence. The customer explains the new requirements and assigns the business owner. Coryntas updates the agent's use of records, task creation, and routing, then tests the revised behavior with the delivery team. That is ongoing implementation work the customer would otherwise need a maintainer to perform.

An expected rule change gives the customer a way to evaluate continuing service before buying: submit the request, review the test result, and observe when the revised behavior becomes available. The pricing section distinguishes refinements to existing responsibilities from expansions requiring another quote.

The customer still owns business decisions. A manager may need to accept a contract exception or authorize a deadline; Coryntas implements the approved rule. Giving that manager the relevant records helps keep the decision short and prevents a technical support request from waiting on an unidentified business approver.

Provider turnaround affects how quickly rules can change

An operations team revising qualification rules several times a week needs to know how quickly those revisions can reach the agents. In the evaluation, send Coryntas a change the team expects to make and compare the turnaround with an internal maintainer using a builder. Count both elapsed time and the hours staff spend implementing and testing it.

The business owner also needs a practical view of what is running. Documentation, operating history, and pending-work records should show which results were produced and which decisions remain open. Without them, even routine questions can require another conversation with the implementation team.

Employees need a clear reporting route for incorrect results. A report with the customer case, expected output, and affected application lets Coryntas investigate the behavior. Source access or a policy decision may still need the customer administrator or business owner, so the support route should identify those contacts.

Some teams want to own the configuration

The practical preference is who will own the implementation. Some teams want Glean's shared employee product; others want to build in Relevance AI. Coryntas delivers and manages the agents for the business, across internal knowledge, customer-facing work, and operations. Company size or agent count alone does not determine which maintenance arrangement the team wants.

Make sure the agent uses the right business records

The hypothetical handoff has three implementation dates: October in the signed statement of work, September in a salesperson's Slack message, and November in the CRM from an earlier proposal. Finding all three records is only the beginning. Delivery needs to know which commitment governs the plan and whether a later change was approved.

An evaluation can expose that conflict by asking the agent to show the three dates and their source records. The proposed workflow needs a business rule for choosing among them and a pause when a manager must decide. The manager should receive the signed document and relevant conversation together, rather than reconstruct the account history to find out why the request stopped.

Treat a draft contract, an old policy, and an approved current record differently in your requirements. They may all be retrievable, but only some authorize the proposed work. Specify the record status or effective date that matters. If your company has not established those rules, assign a business owner to settle them before enabling automatic updates.

The guide to conflicting business records explains source authority and effective dates in more detail. The same records can be used with all three candidates. An inconclusive case is especially revealing: it shows whether the workflow follows the approved decision route or chooses a date without the required authority.

Change a record and watch the next request

Choose a field with a business consequence: customer owner, approved deadline, entitlement, or escalation contact. Change it in the source, then run a request that depends on it. Observe when the answer changes and whether the proposed action uses the current value. Repeat with a deleted document and a record whose access has been restricted.

Glean's connector setup guidance separates adding a connector from starting and reviewing its crawl. After connecting a source, verify that the expected content is available. Include that check in rollout work rather than assuming the completed connection means the information is ready for employees.

Synchronized content, a live lookup, and a combination of both have different freshness implications. A five-minute delay may make little difference to an employee handbook. The same delay can matter when an agent acts on a changed customer status. The implementation needs an update expectation that fits the decision, with the chosen source-access method visible in the proposal.

The intended employee role must run the check. An updated record appearing in an administrator view says little about what a restricted account manager can retrieve. Record the answer and proposed destination action together. A mismatch can then be traced to source synchronization, access, or workflow configuration before acceptance.

Separate source repairs from agent repairs

During the pilot, record cases where somebody has to correct the underlying information. An obsolete policy, missing owner, and contradictory account record need a content decision. An incorrect answer produced from accurate, accessible records needs investigation of retrieval, instructions, or workflow behavior.

The account manager may confirm the commitment, the administrator restore access, and the maintainer change record selection. Record their time separately. Otherwise, a pilot can report heavy agent review effort when employees are actually repairing years of missing or contradictory source information.

Keep the pending case visible while the source is repaired. Delivery should know why the handoff paused, which record needs attention, and who can unblock it. Once the business owner confirms the corrected information, rerun the relevant case and inspect the downstream updates.

Those observations show which preparation will help production. A process full of undocumented commitments needs business decisions before automation. A well-maintained collection may support an earlier launch. Connecting a larger quantity of information does little for the handoff if staff still cannot identify the record that authorizes the next action.

Integration fit depends on records and actions

For the handoff, list the operations required from the CRM: read the account and opportunity, retrieve approved contact details, create the handoff record, update its status, and leave unrelated commercial fields untouched. Add the required operations in Drive, Slack, and the task system. Vendors can then assess the actual integration work.

The connector list is a starting point for this assessment. Custom CRM objects, required fields, and write permissions determine whether the standard connection covers the job. Configuration or development may still be necessary even when the application's logo appears on the vendor site. Establishing that work early protects both the launch date and the budget.

A representative test account lets each supplier demonstrate the same operations. Retrieval and updates need separate checks: the correct contract can be found while creation of the delivery record remains unfinished. The quote should identify which operations are ready and which require implementation.

Inspect the created task in the application

Open the destination application to verify completion. The task needs the correct customer, owner, due date, and handoff link; the CRM needs the agreed status. For an approval-controlled case, compare those records before and after the decision. The employee needs an actual task to work from, even when the agent reports that the handoff succeeded.

A repeated trigger tests how the workflow recognizes work already completed. If a notification arrives twice, delivery should not receive two unexplained kickoff tasks. The demonstration should show the record used to detect repetition and the cases that require operator review. Configuration needed for that behavior is part of implementation.

A partial failure exposes the recovery design: the CRM update succeeds, but the task system is unavailable. The operator needs to see the completed update and the pending task separately. Resuming the case should preserve the successful work and complete the remaining step without generating additional kickoff tasks. Any configuration needed for that behavior belongs in the delivery scope.

Recovery should be usable by the person who will handle live exceptions. Give that operator the supplied instructions and have them resume the interrupted handoff. If the successful CRM update and pending task are hard to distinguish, the documentation or support arrangement needs improvement before the system goes live.

Verify application access before setting the launch date

Connected applications may require administrative consent, a different subscription, or access to particular records. Have your system owner confirm those requirements with the implementation team. Record who supplies each permission and whether the necessary account exists.

A custom application can permit reading while requiring a different operation for updates. A representative read, attempted change, and error response reveal the development needed. Maintenance of those operations also matters when the application changes; the initial lookup alone cannot complete a handoff that depends on a destination update.

Include the application's existing automation in the test. A status update might trigger a notification, invoice rule, or another workflow. Observe what those processes do after the agent writes the record. This helps the team avoid duplicate work and identify a loop before the new workflow goes live.

An expired authorization needs the system owner; a genuinely missing customer record may need the business owner. The failure report should distinguish them and reach the right contact. Its details also need to respect the recipient's permissions, particularly when a support request includes customer documents or account fields.

Make the exception useful to the employee receiving it

An exception report can make the next step obvious. It should show the customer request, attempted operation, completed steps, pending work, and role needed next. The delivery team can then act without rerunning the investigation. A report that says only "agent failed" leaves employees to discover all of that themselves.

Decide when work can be retried and when it needs a person. A temporarily unavailable destination may permit another attempt. A rejected approval needs a business decision. The workflow should preserve that distinction so automatic retries do not repeat a change the manager declined.

The recovery path needs an implementation owner and a maintenance owner in every offer. A platform configuration and a managed deployment both have to handle unavailable destinations and changed approvals. Pricing those paths prevents the company from discovering after launch that only successful requests were included in the original delivery.

Follow customer data through the security review

Follow the signed contract from Drive to the agent, then to the generated brief and CRM records. At each step, identify who can read it, where it is processed, and how long the resulting copy remains. The security review needs to cover those copies and receiving applications as well as access to the original contract.

For example, an account manager may read an implementation plan but lack access to margin analysis. Test the handoff using that role. Check the answer, generated brief, and destination records, then repeat after source access is removed. A permitted reader also needs an approved sharing rule before sending internal information outside the company.

Hosting and assurance depend on the proposed service

Glean documents Glean-hosted and customer-hosted deployment models. Customer-hosted remains a Glean-managed service in the customer's cloud, with product changes managed by Glean. The proposed hosting location, administrative responsibilities, and service terms determine how that arrangement fits the customer's security and operating requirements.

Relevance AI's security documentation states SOC 2 Type II compliance, describes data ownership and export, and identifies Enterprise features for access management and configurable retention. Single-tenant options are described as planned. Have the security owner review the applicable report and the plan-specific controls, rather than budgeting around a planned deployment option.

Coryntas's security and governance approach describes permission-aware access, bounded actions, approvals, and execution records in workflow design. Review the Trust Center alongside the proposed deployment's hosting, access, retention, and assurance evidence. The review should cover the systems and data the agents will actually use.

The security owner needs evidence for the complete service proposed: reports, hosting terms, access rules, and retention settings. Each should identify the component it covers. Assurance evidence and workflow permissions answer different questions, so both belong in the review of the actual data path.

Include summaries and execution records in retention decisions

A source contract can produce a summary, extracted fields, approval history, execution records, and support attachments. Copies sent to the CRM or task system may remain after the original is deleted or access changes. Retention and removal requirements need to cover each resulting record, with an owner for the applications receiving it.

Export and deletion can involve several applications and external execution services. A company may need to retain an approved handoff while removing the original attachment, or preserve the record of an action after document access ends. The retention requirements should specify those cases and assign the resulting records to their system owners.

Model and tool providers can receive information during execution too. An optional external service adds another processing route for the security owner to assess. Listing the route and its policies in the deployment record makes the impact of a later provider or workflow change visible.

Removing a contract from Drive will not necessarily remove the brief already written to the CRM. That destination has its own retention policy and administrator. The deletion process therefore needs to follow generated records into receiving systems, with someone assigned to each removal request.

Grant the permissions the job actually needs

An internal brief may need read access only. Updating a CRM status requires write access to a defined field. Sending a customer commitment adds a business approval decision. Begin with the permissions needed for the first useful scope, then evaluate further actions deliberately.

Include requests the agent should refuse or escalate. Try a restricted document, an unapproved recipient, and a proposed change outside the agreed fields. Inspect what the requesting employee sees and whether the workflow leaves a suitable record of the refusal.

Permission to send a customer message requires a separate approval from permission to draft it internally. When the business expands that authority, the new action and approval route need testing. Earlier success preparing accurate briefs does not establish that the agent is authorized to make external commitments.

A read-only evaluation can begin while broader actions remain under review. Employees can assess the information and proposed decisions without enabling every write operation. Recording the final approved boundaries gives maintainers a way to understand later pauses and refusals, including why some requests still require a manager.

Which provider fits these four buying situations?

These four situations are hypothetical. They illustrate how the work and maintenance preference can change the first provider to evaluate; the same product can fit companies of very different sizes.

A 450-person software company with scattered knowledge

Product, engineering, sales, and support keep asking colleagues to locate previous decisions. New hires struggle to find the right records. No single workflow explains most of the time lost; the same company information supports many everyday jobs.

Start with Glean. Have several teams bring normal requests and test whether employees with different permissions can find and use the connected information. Include a few follow-up actions where a repeated request creates work in another system. That tests both the shared experience and the agent scope you might use later.

Compare Coryntas when the company wants a provider to organize its information and deliver managed knowledge agents, as in the OptyxStack deployment. Compare Relevance AI when internal teams want to build their own knowledge workflows. Test the same employee requests, source coverage, and permissions across the offers; then compare rollout effort and continuing maintenance.

A 90-person B2B company with capable operations staff

An operations lead and analyst already maintain the sales systems. They want research briefs, lead qualification, and follow-up preparation. They also expect to revise the rules frequently as sales learns what works.

Start with Relevance AI and put those maintainers into the pilot. Have them change a qualification condition, diagnose a failed request, and transfer the agent to each other. Record the help needed and the time involved. The company is buying a tool its staff intend to use, so their experience should influence the purchase.

Compare Coryntas if the company wants those staff focused on revenue operations while a provider builds and manages the agents. Existing technical capability does not require the company to retain agent maintenance. Bring Glean into the evaluation if finding internal account knowledge turns out to be the larger bottleneck.

For this company, accepted briefs and follow-up preparations show the sales value; elapsed change time and maintainer hours show the operating cost. Creating more agents would not by itself establish either result. The purchase should improve the work sales can use while leaving the operations team a maintainable configuration.

A 35-person services firm whose founder coordinates handoffs

The founder keeps helping staff find approved customer information and reconstruct incomplete handoffs. The recurring job is clear, but nobody is assigned to maintain a growing agent portfolio.

Start with Coryntas. Bring recent handoffs and the delivery results the team needs. Evaluate whether the agents prepare usable work, carry out the connected actions, and reduce the founder's coordination time. Include the continuing management service and expected monthly capacity in the budget.

If comparing Relevance AI with an operating partner, price the complete platform and partner service. If comparing Glean, include the implementation and maintenance of the handoff alongside employee information access. Each offer should address the work the founder wants handed over.

The founder needs to open a handoff and see the confirmed owner, dates, and next tasks. In the trial, count the cases that reach that state and record the coordination that still falls back to the founder. That tests whether the managed service removes the actual bottleneck the firm wants resolved.

A 2,000-person organization with formal approval requirements

Several departments want AI help, but customer information must pass security review. Business units have separate permissions and owners. Approval depends on hosting, access management, assurance evidence, and service commitments.

A required hosting or assurance condition can rule out an otherwise promising offer. Obtain the applicable evidence and deployment terms before paying for extensive customization. Any unresolved mandatory condition needs an answer at this stage; it cannot be repaired by better agent performance in a later demo.

Among the remaining candidates, test a limited process with representative permissions and busy periods. The administrators who approve changes and manage access need to participate. Their work, and the way departments divide responsibility, can affect both launch feasibility and the cost of expanding the deployment.

Test the same work before choosing a provider

The pilot should leave the business able to buy, revise the proposed job, or stop. Set those decision conditions before the demonstration. For the handoff, delivery can inspect the inputs, approvals, destination records, and work left unfinished. That provides a firmer basis for a decision than a general impression of how well the agent answers.

Give each candidate the same packet: representative source documents, authorized test accounts, required outputs, approval rules, and examples of completed handoffs. Let suppliers identify missing access or configuration before the run. Record that preparation and its cost so differences in setup stay visible in the comparison.

Test ordinary handoffs and deliberate exceptions

A hypothetical first pass could use 30 ordinary historical cases and ten exceptions from the actual process. That sample can expose missing access, incorrect rules, and recovery problems, but it is too small to establish production reliability. Broader testing depends on volume and the consequences of failure. Exceptions belong in the first pass because a smooth demonstration may hide the work employees will later have to repair.

The proposed tests include:

The account manager checks the brief; delivery checks the owner, dates, and tasks; the administrator checks access and destination updates. A permission violation or incorrect CRM change fails the test even if the summary reads well. Any configuration needed to pass belongs in the implementation offer, with a named person responsible for delivering it.

Every candidate needs the same acceptance rule. A prepared draft leaves approval and system updates outstanding if the purchase is supposed to complete the handoff. A buyer wanting only draft preparation can compare that stage separately, with the remaining employee work recorded. Otherwise, the completion rates describe different jobs.

Record review time alongside speed and usage

For each handoff, note whether the required CRM record and tasks were created, how long the process took, and how many minutes staff spent reviewing or correcting it. Record usage and supplier help as well. For an incomplete case, note the missing decision or failed step so it can be costed and investigated.

Ten minutes spent repairing a fast draft may use more staff time than a slower result accepted immediately. A two-day wait for manager approval can dominate both. Recording the full path shows which delay the agent removes and which one remains in the source preparation or review process.

Separate safe pauses from mistakes. A request for a missing delivery owner may be correct behavior. A confident assignment to the wrong employee creates repair work. Both can leave the case incomplete at that moment, but they should lead to different decisions about the proposed workflow.

Make an ordinary change before signing off

After the initial cases run, introduce a new owner, revised approval threshold, or changed required field. Have the proposed maintainer implement it. Record elapsed time, people involved, and additional charges, then repeat the relevant acceptance cases.

That change reveals a different cost in each offer. For customer-owned agents, it tests the maintainer's ability to update and verify the workflow. For a managed deployment, it tests provider turnaround and whether the request is covered or separately quoted. A colleague should also be able to explain the revised rule from the documentation after the original editor leaves.

The guide to evaluating the enterprise context path goes deeper into source checks and intermediate decisions. The buying decision needs the accepted cases, unresolved requests, usage totals, staff hours, and production quote together. That record shows both what the company can purchase now and what still needs repair before launch.

The live handoff needs someone responsible for it

Use the first ninety days as a planning window, adjusted for deployment and access preparation. The delivery manager might accept handoffs, an operations lead watch pending cases, and the CRM administrator manage access. A small company may combine those jobs. A paused request still needs to reach someone who can resolve the specific decision or access problem.

Those contacts also matter to the provider. A deadline needs the business owner's approval; a missing CRM permission needs an administrator. Directing each request to the right person prevents a technical investigation from waiting in a general inbox for a decision nobody there can make.

A limited launch gives employees a chance to see a completed handoff and one that pauses for a missing owner. They need to know where to find the pending work and how to report an incorrect result. Reviewing those first live requests can reveal a recurring correction, an unassigned decision, or a task employees still have to finish manually.

The next department has different records and rules

Before adding a department, check its records, permissions, and approval rules. A successful handoff pattern can be reused, but the receiving team needs to confirm which parts apply to its work. Assign its reviewer and operating owner before switching on more requests.

Expansion changes the cost according to the purchase. More employee groups add access and rollout work; more specialist responsibilities add implementation, runtime, and maintenance. Accepted work and staff hours show what the extra spending delivers. Agent count alone does not show whether the new department gets useful help.

At the end of the initial period, compare actual spending, usage, completion, and review time with the purchasing model. Update the forecast and decide which responsibilities to expand, improve, narrow, or retire.

Agree on changes, renewals, and handover

Changes can require different work: repairing behavior already accepted, implementing a revised policy, or adding a new responsibility. An application interface change may need technical investigation; a removed permission may need the customer administrator. The initial agreement should assign those requests before the live process depends on them.

A likely new service line can expose the change terms. Ask the provider to explain whether it fits the current responsibilities, how any additional work is estimated, and who approves it. The resulting route should carry the request through testing and release, with employees told which behavior has changed.

Renewal changes what next year costs

The continuing budget depends on renewal notice periods, rate reviews, user commitments, and treatment of unused or prepaid consumption. Introductory allowances and negotiated concessions have stated end dates. A forecast for the next year should use the terms that apply after they expire, then add the planned growth in users or work.

Implementation assistance may end before the subscription. If that happens, the company still needs someone to investigate failures and update workflows. A partner offer may add continuing fees; a managed offer may include support and improvements under its stated terms. Renewal is the point to confirm which maintenance arrangement the next budget actually purchases.

Include working documentation in the handover

A workable handover can require generated records, source material, workflow descriptions, approval history, and operating instructions. Some configuration may export; some may need rebuilding on another product. Inspecting a sample export gives the receiving team a way to assess the work instead of assuming that possession of the data makes the agent portable.

Relevance AI documents data export and deletion options in its security documentation. That establishes a route for recovering records, while migration of a working agent needs a separate assessment. Apply that portability check to every offer, including Coryntas, and agree on the handover assistance the company would require.

Plan for pending requests during a transition. Keep a manual route for important cases, identify completed actions, and name the owner of unfinished work. Have the system administrator identify which integrations and permissions should be disabled when the service ends. Put any transition assistance and charges in the agreement before the team depends on the deployment.

Questions to settle before you buy

Does Glean only search company information?

No. Glean also offers an assistant and agents that execute actions and coordinate work. Evaluate the proposed agent process alongside search, particularly if your purchase needs updates in business systems.

Can Relevance AI help with implementation?

Its expert partner network offers implementation help. Partner setup and continuing service have to be priced alongside the platform subscription and consumption. Check who will maintain the workflows after initial deployment.

Is Coryntas cheaper?

There is no comparable total without the workload and quotes. Coryntas publishes deployment and monthly capacity prices; Glean and Relevance AI Enterprise require proposals. Compare twelve-month implementation, runtime, maintenance, and customer staff costs for the same work. The Coryntas first-year examples above show how to calculate its side of that comparison.

Will buying agents let us reduce headcount?

That depends on the work transferred and the staffing decision the company makes. The pilot can show completed requests and review minutes saved. Those results may support handling more customers or avoiding a planned hire. Reducing headcount requires a separate assessment of the duties employees still perform.

Which should a small business evaluate first?

Start with the maintenance preference: Coryntas for agents delivered and managed for the business, Relevance AI for a team that wants to configure them, or Glean for a shared workplace AI product. A small company should price the complete job, including the work its existing staff would retain.

Which should an enterprise evaluate first?

First resolve mandatory hosting, access, assurance, and service requirements. Then evaluate the employee experience or agent processes the departments will actually use. Administration, implementation, and continuing maintenance belong in the enterprise budget alongside licenses and consumption.

Can we use more than one provider?

Yes, if they serve distinct jobs and the integrations support the arrangement. Employees might use a shared knowledge product while a managed agent handles a business process. If two agents can update the same customer record, assign which fields each owns and how conflicting updates are handled. Combined usage and service costs also need a budget.

Are agents worthwhile if people still approve actions?

Yes. An agent can gather the contract, resolve routine details, and prepare the updates while a manager approves the customer commitment. The value depends on the preparation and execution time saved after counting approval minutes and waiting time. Full autonomy is unnecessary for that work to be useful.

How soon can we expect a return?

Use the pilot to measure how much staff work a completed request removes, then apply that saving to the volume you expect employees to use. Set the resulting benefit against deployment, usage, and continuing costs. Faster delivery or capacity for more customers can be valuable before payroll changes; a cash payback forecast needs an actual spending reduction or additional revenue the business expects to realize.

What should we bring to the first vendor conversation?

Recent requests are more useful than a feature wish list. Bring completed and troublesome examples, the source systems, approximate monthly volume, and the employees involved. Include the business owner who can approve the rules. Vendors can then explain what they would deliver and what they still need to inspect.

Take one well-defined job to your shortlist

The opening handoff exposes the difference between an account summary and a working process. Delivery needs confirmed dates, an owner, and kickoff tasks; someone must also maintain that behavior as the business changes. A proposal is easier to judge when it names both the finished work and the people responsible for keeping it running.

Choose Glean if a shared employee product meets that need, Relevance AI if the team wants to build and adapt the agents, or Coryntas if it wants the agents delivered and managed. Use the completed cases, remaining staff effort, change turnaround, and annual quote to judge the offer.

To discuss agents built and managed for your business, review the Coryntas packages. Recent examples of the work will help Coryntas propose a deployment and estimate the monthly capacity it needs.

Before comparing offers, specify the job your team will hand over. The business work map connects twelve assignments to inputs, results and retained decisions. The agents, chatbots and assistants comparison shows how to evaluate overlapping product labels on the same request.