Agent Governance and Evidence Infrastructure

Govern the Right Agent,
With the Right Controls,
For the Right Reasons

AGEI Agent Governance Registry helps organizations classify AI agents, define delegated authority, assign risk-based controls, manage approvals, and produce verifiable governance evidence.

The AGEI Principle

Capability does not imply authorization.

Authorization does not imply admissibility.

Execution requires governance.

15 Critical Governance Questions

AGEI Agent Governance Registry helps your organization answer every essential question about your AI agents

1

What AI agents exist?

2

What business purpose does each agent serve?

3

What type of agent is it?

4

Who owns the agent?

5

Who authorized it?

6

What authority has been delegated to it?

7

What data and systems may it access?

8

What tools may it use?

9

What information may it retain?

10

What level of autonomy does it have?

11

What consequences could result from failure?

12

What governance controls are required?

13

Has the agent been approved for deployment?

14

When must it be reviewed again?

15

What evidence proves the agent operated within its boundaries?

Nine Agent Function Categories

Classify agents by their primary function to determine appropriate governance requirements

Assistant Agent

Assists humans with content, analysis, research

Workflow Agent

Executes predefined business processes

Routing Agent

Determines where work should go next

Monitoring Agent

Observes systems and events to detect change

Decision Support

Provides recommendations to humans

Tool-Using Agent

Selects and uses approved tools

Execution Agent

Executes actions with real-world consequences

Orchestration Agent

Coordinates multiple agents and systems

Strategic Agent

Pursues broad objectives with emergent paths

Four Governance Tiers

Automatically calculated based on function, authority, context, memory, autonomy, and impact

Tier 1: Limited

Informational assistance, low impact, human-in-the-loop

Tier 2: Controlled

Defined workflows, limited authority, active oversight

Tier 3: Material

Tool use, execution authority, sensitive data, high impact

Tier 4: Critical

Open-ended operation, broad authority, critical impact

Comprehensive Governance Lifecycle

Agent Registration

Register agents with business purpose, owners, and intended use

Function Classification

Classify by primary function across nine categories

Authority Definition

Define delegated authority with explicit limits and conditions

Context Access

Specify permitted data sources and systems

Memory Scope

Define what information may be retained and for how long

Autonomy Level

Set human oversight requirements and approval points

Impact Assessment

Assess financial, regulatory, legal, privacy, and operational impact

Governance Tier

Automatically calculate governance tier and required controls

Control Assignment

Assign preventive, detective, and corrective controls

Approval Workflow

Route through risk, compliance, security, and executive approvals

Evidence Generation

Generate immutable audit trail of all governance actions

Reassessment

Trigger reassessment when agents, tools, or authority change

The Future of Agentic Systems

"The future of agentic systems will be defined not only by what agents are capable of doing, but by what authority they are allowed to exercise—and what evidence proves they stayed within those boundaries."

Ready to Govern Your AI Agents?

Start classifying, governing, and producing evidence for your organization's AI agents