The outcome
What business outcome may AI move forward, and which decisions remain explicitly outside its scope?
Enterprise AI governance
Entellex helps enterprises turn policy, risk, security, operations, and ownership decisions into controls around the next AI action—not a separate review document after the fact.

The governance question
Governance connects the outcome, data, system permission, human authority, and evidence in one operating model.
Before the work begins
What business outcome may AI move forward, and which decisions remain explicitly outside its scope?
What data may enter the operation, and which approved records and systems may it reach?
When must work pause, escalate, or seek approval—and who owns the next decision?
What must remain reviewable after an important action, exception, handoff, or change?
A shared decision model
Owns the outcome, workflow, exception path, and usable handoff.
Own the obligation, policy interpretation, data boundary, and evidence need.
Own identity, integration, access, deployment, and material-change assumptions.
AI agent governance
Agent governance matters once AI can move business work, not only generate an answer.
Entellex applies these controls to its workflows and configured AI routes. It does not claim coverage or certification beyond those paths.
See approved-system access in a controlled operation Explore AI Activity GovernancePut the model to work
Start with one operation
Start with one operation, its policy boundary, accountable owners, approved systems, and the review record the organization needs.
Request an operation review