Coryntas Agent System

Enterprise AI agents, delivered end to end.

Ground every assistant and agent in trusted enterprise context, then operate the full lifecycle with clear ownership, controls, and evidence.

Verified production snapshot · one anonymized deployment

96.4% required-outcome completion
96.4% required-outcome completion82/100 topic readiness0.7% policy exception rate

The Coryntas Agent System

Three parts of one accountable operating model.

Context, experiences, and operations work as one system, so enterprise AI can move from useful answers to governed action without losing trust along the way.

Agent-Ready ContextGroundKnowledge · state · permissions
AI ExperiencesEngageAssistant · agents · library
Managed Agent OperationsOperateObserve · evaluate · improve
Coryntas Agent SystemOne accountable operating model
01Systems
02Context
✦Agent
03Action
04Evidence
Enterprise knowledgeIdentity & permissionsModels & toolsEvaluation data

Product experiences

Choose how your teams put the system to work.

Start with an assistant, deploy purpose-built agents, or adapt a proven workflow from the library. Every experience shares the same context and controls.

Browse Agent Library

AI Assistant

One grounded place to ask, analyze, create, and act.

Give every employee a useful everyday assistant that understands company knowledge, respects permissions, and returns answers with verifiable sources.

Explore AI Assistant

Enterprise Agents

Turn multi-step work into repeatable outcomes.

Build agents that can plan, retrieve context, call approved tools, and pause for human decisions when the business requires them.

Explore Enterprise Agents

Agent Library

Start with useful patterns, then adapt them to your business.

Give teams curated starting points while preserving your own standards for context, ownership, review, and deployment.

Browse Agent Library

Managed Agent Operations

Know what agents did, why they did it, and whether it worked.

Monitor quality, apply controls, trace decisions, and carry evidence from design through production so each deployed agent remains accountable.

Explore governance

Reference architecture

Governance travels with the work.

Identity, source authority, policy, approvals, and evidence remain part of the execution path instead of sitting beside it.

01Enterprise systemsKnowledge, records, signals
02Identity and policyPermissions, rules, authority
03Agent contextRelevant, governed, current
Governance travels with the workIdentity · source · policy · evidence
04 · Decisions and actions05 · Evidence and operationsApproved models & toolsHuman oversight

Build on one accountable system

Move enterprise AI from isolated experiments to governed outcomes.

Start with one outcome, then grow an enterprise agent portfolio on trusted context and measurable production evidence.

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AI assistant
A GOOD PLACE TO START

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