Tealfabric

Definition

What is a governed AI agent?

A governed AI agent is an AI that works inside an operations process: it reads granted tenant data, follows published playbooks, and pauses for a human before it writes to business systems.

Definition

Governed (or policy-bound) AI agents are not open-ended assistants. They run on a tenant with scoped tools, skills playbooks ops publishes, and human-in-the-loop gates before execute_tenant_integration.

Tealfabric does not describe these as autonomous agents. Autonomy without approval is the opposite of the control plane.

Vs copilots and vs autonomous agents

A generic copilot summarizes and chats. It typically cannot see live processes or run integrations under tenant policy.

An unconstrained autonomous agent calls tools until a goal is met. That is useful in sandboxes and dangerous against production CRM or ERP.

A governed AI agent sits between those: it can act, but only after policy and, where required, a named human.

How Tealfabric implements it

Trace AI loads tenant SKILLS/ playbooks, reads granted Datapool rows and Monitor history, proposes an action, and waits for approval before production writes.

Operations, RevOps, customer delivery, support, and platform teams use the same trail to see reasoning, approvals, and integration outcomes.