How do you choose an enterprise AI agent builder?
Choose an enterprise AI agent builder by checking six things: how it connects to your live business data, whether it enforces each user's permissions, how you test and evaluate agents before release, which actions need human approval, what observability and audit logs it provides, and how costs scale. Build a pilot on one real workflow before committing.
The checklist
Run a real pilot
Pick one workflow with clear success criteria, such as resolving password and access tickets. Build it in two shortlisted tools, run the same evaluation set, and compare accuracy, time to build, and how easily non-engineers can change it.
Red flags
Demos that only use sample data; no way to test before production; permissions managed in a separate layer that can drift; no audit trail.
How DevRev’s Agent Studio fits
In Agent Studio you describe an agent in plain English, test it in a sandbox, evaluate it in bulk and compare versions before deploying. Agents share Computer’s permission-aware memory, and approval gates can be set on any action.
