Tested before it goes live

Why we built it

An AI agent is never finished. Prompts get refined, new scenarios get added, better models arrive, and your own policies change. Each of those changes can quietly break a part of the call flow that worked yesterday: a disclosure that stops firing, a dispute that gets routed as a payment, a verification step that gets skipped.

Testing an agent the usual way means placing test calls one at a time and listening. It is slow, it covers a fraction of what can happen, and it leaves no record of what was checked.

How it works

Every proAgent change now goes through a structured testing process before it reaches a live call.

• Each test traces back to the call flow you signed off on, and tests are written before the agent is built.
• A scripted AI consumer plays out each scenario against the real agent logic, and the result is a clear pass or fail on the path the call took, the events it fired and the outcome it reached.
• Scenarios you raise are encoded once and run on every future change, so a fixed issue stays fixed.
• Tests run in tiers, from quick checks on every change to deep coverage of edge cases.
• Results land in AI Agent Scorecards in proInsight, tied to the exact version tested, with people reviewing the judgment calls automation can't make.
• New versions can go to a share of live calls first, and new AI models are compared on real moments from calls before they are adopted.

What you get

No change reaches your consumers until it has proven itself in testing. If a problem ever does slip through, every change is on record, so we can pinpoint exactly when it appeared and prove when it was fixed. Your agent gets better with every release, and your compliance record stays protected the whole way.