AI Agent Governance for Enterprises: Common Questions Answered
technology
Straight answers on data boundaries, model choice, approvals, retention, and lock-in for enterprise AI agents.
What is AI agent governance?
It is the set of rules that decide what an agent can see, what it can do, and who reviews its work. Good governance lets AI agents do real tasks while authority stays with your people.
Can agents see all of our company data?
No. Company memory is scoped by team, project, and role, so an agent only draws on what its rules allow.
Can we keep data inside our own infrastructure?
Yes. Constella offers a self-hosted model option so data and weights stay inside your walls. See trust and controls.
Do agents act without asking?
They don't have to. Approval rules for actions that matter, such as sending anything outside the company, are coming soon. A manager approves by policy before it goes out.
What happens when someone corrects an agent?
The correction is saved with who made it and why. An owner or admin reviews it before it changes behavior, and it can be rolled back.
What if a team member leaves?
Revoke the member and their access ends immediately.
Are we locked into one model?
No. You can swap models as better ones arrive while keeping your memory, rules, and agents.