A code and behavior audit for the AI you run, so failures surface in a report — instead of in front of a customer or a regulator.
Accountability for AI runs downhill to whoever deployed it. The vendor’s terms don’t protect you when an agent quotes the wrong price, leaks a record, or makes a decision a regulator wants to see the paperwork for.
An audit is how you find the failure modes, the unsafe paths, and the compliance gaps while they’re still cheap to fix.
And how you prove to a board or a regulator that you looked.
Review of the agent’s logic, guardrails, and failure modes — the paths where it can do something you didn’t intend.
A documented assessment you can show to stakeholders, with the findings and the remediation tracked — renewed when the agent changes materially.
Findings live in two places. A continuously updated dashboard your team works against, and a signed report you can hand to a regulator, an insurer, or a board.
Open findings, severity, owner, and remediation status — the room your team works in between audits.
Redacted findings from a real engagement — an underwriting agent for a regional insurer. EN and Bahasa Indonesia.
Thirty-minute call with the lead auditor. We’ll scope the engagement, agree the rubric, and tell you whether the audit is even the right next step.
