Deploying an AI agent hands someone the question — is this safe? Agent Kaappaan is built for the roles that have to answer it, each with a different problem and the same need for proof.
An agent is going in front of customers and someone has to say it's safe. Today that signature rests on a demo that worked and a hope that the edge cases don't. When one slips through, it's your name on the incident.
When leadership or a regulator asks how you know an agent is still correct, 'we tested it once' isn't an answer. You need a reproducible check and a record — for every agent, continuously, not as a one-off.
Different teams, different frameworks, different models — and no common bar every agent has to clear before production. Reliability becomes a per-team accident instead of a platform guarantee.
When agents run public services or regulated workflows, a failure isn't an outage — it's a breach of public trust. The bar for 'safe to deploy' is higher, and the evidence requirement is absolute.
Whatever the role, the outcome is the same: agents that are tested before they ship, watched while they run, fixed when they break — and an evidence trail for every bit of it.
Find the injection, the jailbreak, the harmful compliance in a test — before a customer or a headline finds it.
Every fix is independently judged and re-tested, so a patched agent is a proven one, not a hopeful one.
'How do you know it's safe?' stops being a scramble and becomes a report you already have.
We're onboarding a small number of design partners across engineering, risk, and platform teams.
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