This section covers bringing AI agents and models outside the AI Agents builder — running in your own apps or on connected platforms — under a single pane of enterprise oversight.

Overview

AI Governance follows a discover → register → observe → govern flow. Discovery connects to a platform and syncs the agents and models running on it. You then bring the ones that matter under governance via the Agent Registry and Model Registry — either synced automatically or added manually. Monitoring gives you the fleet-wide view across every registered agent.

Note: This is a distinct concept from the agent builder covered elsewhere in this hierarchy — Governance watches and controls agents built outside UnifyApps, in platforms like AWS Bedrock, LangChain, or your own custom systems.

The AI Governance Launch Pad

Select AI Governance in the side-nav to open its launch pad. Its modules are grouped into five pillars:

Pillar	Modules
AI Assets	Discovery, Agent Registry, Model Registry
AI Observability	Monitoring, Incidents
AI Compliance	Policies, Controls
AI Evaluation	Experiments, Datasets, Metrics, Agent Optimizer
AI Cost & ROI	Cost Explorer, Outcomes & ROI

Note: Model Router isn't part of AI Governance. It's in the AI Agents section of the side-nav, next to Models.

What's in This Section

Topic	Covers
Governance Overview	The end-to-end discover → register → observe → govern flow.
Discovery	Connecting platforms and syncing their agents and models.
Agent Registry	Registering external agents, connecting them, and their observability.
Model Registry	Bringing external models under governance.
Model Router	Picking the right model per request instead of hard-coding one. In the product, it's under AI Agents in the side-nav.
Monitoring	The fleet-wide dashboard across all registered agents.