AI Agents, Chatbots, and AI Assistants: What Work Can Each Handle?
Compare the same business request across products: the records they can read, the work they prepare, the actions they execute, and who keeps it working.
“Please deal with this overdue invoice.” In a hypothetical product evaluation, one system explains the collection policy. Another prepares a customer email. A third checks the balance and dispute state, then proposes the next action. All three vendors may describe their product as an AI assistant or agent.
The labels leave several buying questions unanswered. What information was checked? Was the email sent? What happens if the payment record is stale? Who changes the behavior when the collection policy changes?
Compare chatbots, assistants and agents by the work they can complete with their configured tools and permissions. A conversational interface does not prevent action. An agent label does not establish that action will be correct or that someone will maintain the deployment.
Give every product the same job
Keep the invoice request fixed while changing the capabilities under evaluation. Suppose the invoice is overdue, one line is disputed and an incoming payment may belong to the account. This is a hypothetical test case, not a claim about a customer incident.
A policy answer may be enough when an employee asks how collections works. Preparing follow-up requires the account details and the unresolved dispute. Sending a reminder requires a verified recipient, current payment state and permission to communicate. Changing a financial record introduces another kind of authority.
| Observed behavior | What it delivers | What to verify |
|---|---|---|
| Answers a policy question | An explanation of the collection policy | Which policy version and source it used |
| Reads account records and prepares work | A reminder draft or exception brief | Balance, payment, dispute and recipient accuracy |
| Uses a connected communication tool | A sent message where permitted | Authorization, delivery result and duplicate prevention |
| Carries work over time | Follow-through as records or decisions change | Triggers, state, exceptions and a responsible owner |
These are behaviors a deployment can combine. They are not four rigid product categories. A tool-enabled assistant may do several of them, and a purpose-built agent may intentionally handle only one bounded job.
Connected tools change what the product can deliver
A product that reads a policy document has a different execution path from one that also reads billing state and sends messages. The second needs a reliable connection between the customer, invoice, current balance and permitted action. A good answer about the policy cannot substitute for that connection.
Coryntas's overdue-invoice walkthrough makes the prepared work visible: aging, reminder drafts, disputed charges and collection owners. It is an authored walkthrough, so it proves neither a live integration with your billing system nor that those drafts were sent to real customers.
For a published account involving execution, the VPS provider story describes service requests continuing through billing and an infrastructure change. The difference worth evaluating is the connected work, including verification of the result. The provider's workflow does not grant another deployment the same access automatically.
Ask who keeps the work correct after launch
The product demonstration is one point in time. The operating arrangement determines what happens when a tool schema changes, the business revises its policy or an employee discovers that an exception was routed incorrectly.
Ask who owns the connections, the instructions, the cases used to check behavior and the investigation of failed work. Ask what your team must operate itself and what the provider will maintain. Coryntas's delivery approach includes building and managing agents around agreed business work; that responsibility is part of the service being evaluated.
This also affects the economics. An inexpensive product may still require substantial internal configuration and review. A managed service includes a different set of responsibilities. Neither arrangement eliminates the need for a business owner to define acceptable results and retain decisions that belong to the company.
Include a case where the obvious action would be wrong
For the invoice request, include a payment that arrived after the aging export, a disputed amount and an account with incomplete contact information. Inspect whether the product distinguishes known facts from missing information before it proposes or performs an action.
Then inspect the result of execution. A successful tool call should correspond to the intended business change. If an action times out, the system needs to investigate whether it completed before trying again. These are evaluation requirements to agree with the provider, not capabilities established by a label.
Use the business work map to choose a request relevant to your company. For a vendor-level purchase comparison, the Glean, Relevance AI and Coryntas article examines implementation, pricing and continuing responsibility. Carry the same job through both evaluations so that you compare the result your team needs.
