How do you build an enterprise-grade AI agent?
To build an enterprise-grade AI agent, define one clear job and success metric, connect it to live, permission-aware business data, give it scoped tools to act, write instructions and guardrails including approval gates, test it in a sandbox against a realistic evaluation set, roll out gradually, and monitor traces, costs and outcomes with the ability to roll back.
Eight steps
- Define the job and how success is measured.
- Map data and systems the agent needs.
- Connect data with permissions intact.
- Add tools with least-privilege scopes.
- Write instructions and guardrails, including what needs approval.
- Build an evaluation set of real cases, including edge cases.
- Test in a sandbox, compare versions.
- Roll out and monitor with traces, alerts, rollback.
