Forensics
We read the code, pull the logs, and reproduce the failures — then tell you exactly why it broke and whether it's worth saving.
AI Agent Rescue
For the agent that failed in production — we find why, fix the root causes, and re-launch it behind evals and guardrails.
- Price
- From $25K
- Timeline
- 2–6 weeks
- Terms
- Fixed scope
Your agent didn't fail because AI doesn't work. It failed because nothing was measuring it.
We reproduce the failures, build the golden dataset the first build skipped, fix the root causes — grounding, tool scope, escalation, permissions — and re-launch behind CI-gated evals and monitoring.
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.
Golden set + root causes
Every real failure becomes an eval case. Then we fix causes — grounding, tool boundaries, escalation — not symptoms.
Gate it
The eval and regression suite goes into CI, guardrails and the human-in-the-loop path go in front of users.
Re-launch
Staged traffic behind the gate — 10%, 50%, 100% — with monitoring and alerts, so it earns trust back with numbers.
What the engagement covers
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
Tangible artifacts you keep, whether or not you continue past this engagement.
Deliverables · 7 included
- 01Forensic failure report (what broke, and why)
- 02Golden dataset built from your real failures — you own it
- 03Root-cause fixes, not patches
- 04Guardrails + escalation path
- 05Eval + regression suite wired into CI
- 06Monitoring + alerting
- 07Gated re-launch plan + runbook
A rescue, delivered as evidence — not a pitch to rebuild from scratch.
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.
The root causes
Why agents actually fail in production — found and fixed, not patched.
was: none
- Input
- Representative case
- Evidence
- Trace and expected outcome
The states demonstrate the review UI. They are not evaluation results.
The re-launch bar
It doesn't go back in front of users until the evals say so.
GateEvidence before a verdict
Not runFailure-case pass rate
A representative input, expected outcome and execution trace are required before this dimension receives a result.
No grade or performance claim is shown before the buyer's evaluation.
The rescue log
Six weeks from rollback to a gated re-launch.
The release record keeps the change beside its owner and evidence.
What we measure
Agree the baseline, source and acceptance criteria before release.
- Baseline
- Measured with the buyer
- Source
- Named system of record
- Acceptance
- Agreed before release
Targets and observed results belong to the qualified workflow, not a sample dashboard.
Illustrative product scenes · never client results
Plus: You keep the forensic report + golden dataset either way · staged re-launch · 30 days of async Q&A.
Built for
Owning the rollback
A credible path from 'we turned it off' to 'it's back, measured, and gated' — without relitigating the whole build.
Already paid for this once
An honest week-one verdict, root-cause fixes, and an asset that finally works — not a second full-price build.
Running the workflow the agent abandoned
A re-launch the team can trust, with escalation, monitoring, and a kill switch.
Questions, answered
Common questions
Start with one useful decision.
Bring the workflow and the person responsible. We scope the exact number with you, and sign a mutual NDA before any code or data is shared.
From $25K · 2–6 weeks