Agent Production Audit
Audit the agent before it breaks in production.
For teams running an AI agent they intend to keep. In two weeks: where it breaks first, what it costs to run, and a ranked 30-day fix list. $9,500, credited against any build over $40K.
Two ways in
One audit. Two doors.
Agent Production Audit
You have an agent in production, or about to ship one, and you want to know where it breaks before a customer finds out.
Agent Rescue
Your agent pilot is wobbling, the numbers are unclear, and someone above you is asking whether it's worth continuing. Two weeks to find out whether it's fixable, and what that takes.
Same work, different starting point. The intake tells us which one you are.
The problem
It shipped. Now no one can say if it's working.
An agent went into production. It demoed well. It calls a few tools, takes several steps, and most of the time it does the right thing. Occasionally a run goes wrong — a wrong tool, a confident wrong answer, a cost spike no one noticed until the invoice. Someone reads logs for an afternoon and moves on.
There is no number on a dashboard. No one traces the failure through the steps. When a prompt or a tool changes, no one can say whether the agent got better or worse, because "better" was never defined. That math is invisible until it isn't.
The work
What gets delivered.
A findings package you own outright. No code is built in the audit — that's the build. This is a diagnostic, which is what keeps it honest inside two weeks.
A map of the agent as it runs today
Every tool, step, and autonomy boundary, and what is actually logged at each one.
A failure analysis from your real traces
Where it breaks first, across five surfaces: quality, cost, latency, governance, integration — each tied to runs we can point to.
A reliability baseline
Pass rate per failure mode, cost per task, latency under load — the numbers you don't have yet.
A ranked, costed 30-day fix list
Each item tagged prompt, retrieval, instrumentation, or build, ordered by severity against effort.
A 90-day build proposal, if warranted
Scoped, priced, dated. Sign within 90 days and the $9,500 credits against any build over $40K.
Findings memo + recorded handoff
An 8–14 page memo and a 60-minute walkthrough so your engineers can act on it without us in the room.
How we engage
Two weeks, in five moves.
Read access in week one
We get read access to production traces and logs. If we can't, we can't run — and we'll say so before you pay.
Real runs, grouped by failure
We pull production runs and group them by where and how they fail, with the engineer who owns the agent.
Measure across five surfaces
Establish pass rates and cost-per-task, and find what breaks first.
Rank, cost, and scope
The 30-day list, and a 90-day build only if the findings justify one.
Day 12
We walk you through the memo, the numbers, and the ranked list of what to fix next.
Scope
What this is not.
The boundaries are the point. They're what keeps the audit honest inside two weeks.
We don't build or rebuild the agent
We find where it breaks. If it needs a build, the audit is how you'll both know — and what it should cost.
We don't sell you an observability platform
We use the instruments you already run, or open ones you keep. The judgment is the work, not the tooling.
We don't audit more than one agent
One workflow measured properly beats five measured shallowly.
We don't hand you a strategy deck
You get a memo, a baseline, and a ranked fix list. Nothing here is a slide.
We don't widen to "anyone doing agents"
This is for teams running agents inside systems they intend to keep.
Pricing
$9,500. One agent. Two weeks. Fixed.
Priced by responsibility and outcome, not hours. Credited in full against any build over $40K signed within 90 days. If it runs over two weeks because of something on our side, that's on us. If it's something on yours, we'll tell you on day 5, not day 13.
Fit
Who this is for.
You shipped an agent to real users, or you're days from shipping one.
You can give us read access to production traces in week one.
Someone owns the reliability of this agent and will be in the room.
Being confidently wrong about what it does costs the business something real.
You have budget beyond this audit if the findings warrant a build.
Misfit
When it's not.
You haven't built the agent yet and need someone to build it.
You've already built evals and want a second opinion on the tooling.
No one on the team has time to act on the findings when they land.
Who does the work
A small team. On purpose.
Every audit is led by senior engineers with over 15 years building backend, distributed systems, and infrastructure. They're the ones in your traces, on the calls, and writing the memo. Production reliability for agents is a distributed-systems problem before it is a model problem — and that is the judgment you're buying.
The team is two people because three would be slower. No account managers, no handoffs.
Get started
The intake — six questions.
A short form, not a calendar link. We read it before we talk, and reply within two business days. If it's a fit, we book the call then.
What happens after you send it.
- You send the intake. Six questions, ten minutes. No call required to start.
- A senior engineer reads it. The same person who'd be in your traces — not a sales rep, not a bot.
- We reply within two business days. A straight answer on whether the audit fits, and why.
- If it's a fit, we book the call. Scope, dates, and access — then the two weeks begin.
No automated drip. No follow-up sequence. If we're not the right fit, we'll tell you in the reply.