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About AGEI

Founded to solve the agentic AI governance problem through evidence-based assurance, fail-closed behavior, and governance-before-execution.

Why AGEI Exists

Agentic AI systems can do things—execute transactions, approve workflows, provision resources, make decisions with real-world consequences.

But capability does not imply authorization. Organizations deploying autonomous agents need to:

  • • Define what agents are allowed to do (and not allowed to do)
  • • Enforce boundaries on agent behavior based on risk and impact
  • • Ensure high-risk actions receive human approval or oversight
  • • Produce verifiable evidence that governance actually happened
  • • Meet regulatory, compliance, and internal audit requirements

AGEI provides the governance and evidence infrastructure to make this possible.

The Agentic AI Governance Problem

No Governance Framework

Most organizations lack structured frameworks for classifying agents, defining delegated authority, and determining appropriate oversight levels.

Unclear Human Oversight

When should an agent require approval? When is monitoring sufficient? When can an agent operate autonomously? These questions are usually unanswered.

No Evidence of Governance

Compliance teams, auditors, and regulators ask: "How do you prove your agents followed governance rules?" Most systems have no answer.

Evidence-Based Assurance

AGEI is not another agent framework. It's the governance and evidence layer for agentic systems.

Organizations use AGEI to:

  • Classify agents by type, function, authority, and risk
  • Define policies that enforce boundaries on agent behavior
  • Evaluate actions before execution via connector governance
  • Route high-risk actions to human approval queues (HITL)
  • Generate evidence receipts proving governance decisions occurred

Governance happens before execution, not after.

Founder-Led and Governance-Focused

AGEI is built by CognitiveInsight, a governance-focused company dedicated to responsible AI deployment. We believe that agentic systems require intentional governance, not ad-hoc rules and hope.

Join Us in Governing AI Agents

Start producing verifiable governance evidence for your organization's AI agents