For the agent that failed in production — we find why, fix the root causes, and re-launch it behind evals and guardrails.
Any framework, any vendor's code, under NDA. And the forensics are honest: if it isn't salvageable, you find out in week one — with the report and the eval set to show for it.
We read the code, pull the logs, and reproduce the failures — then tell you exactly why it broke and whether it's worth saving.
Every real failure becomes an eval case. Then we fix causes — grounding, tool boundaries, escalation — not symptoms.
The eval and regression suite goes into CI, guardrails and the human-in-the-loop path go in front of users.
Staged traffic behind the gate — 10%, 50%, 100% — with monitoring and alerts, so it earns trust back with numbers.
Failure forensics + reproduction
Golden dataset from your real failures
Grounding + retrieval fixes
Tool + permission boundaries
Escalation + human-in-the-loop path
Eval + regression gate in CI
Monitored, gated re-launch
What you receive
The root causes we find, the eval set we build from your failures, the fixes we ship, and the gated re-launch. A sample is shown; yours starts with your logs.
Why agents actually fail in production — found and fixed, not patched.
It doesn't go back in front of users until the evals say so.
Six weeks from rollback to a gated re-launch.
What the same agent looks like behind evals and guardrails.
A credible path from 'we turned it off' to 'it's back, measured, and gated' — without relitigating the whole build.
An honest week-one verdict, root-cause fixes, and an asset that finally works — not a second full-price build.
A re-launch the team can trust, with escalation, monitoring, and a kill switch.
We scope the exact number with you, and sign a mutual NDA before any code or data is shared.
Build logs, agentic engineering decisions, agent failures, evals, and what survives real users. Sent weekly, never more.