A short research audit for teams building or piloting AI agents. The goal is to identify recurring reliability risks, missing controls, and the highest-priority fixes without requesting sensitive production access.
The output is a concise reliability scorecard with your highest-risk areas, missing controls, and a prioritized remediation list. This is not a security certification, compliance attestation, or production guarantee.
This early validation is aimed at teams already evaluating, piloting, or operating AI agents and experiencing failed runs, human intervention, rate-limit cascades, memory/context problems, cost overruns, difficult debugging, or weak run-level visibility.
Early-stage research experiment. No payment is being collected.