Production AI Reliability Audit
A focused AI system evaluation for founders and teams whose AI demo works great but falls apart in production. You get a prioritized RAG audit roadmap in 5 days — regardless of whether you hire me to build the fixes.
What I audit
A comprehensive AI reliability audit covers any production AI system that retrieves knowledge, makes decisions, or automates workflows — including RAG pipelines, AI assistants, and agent-based architectures.
RAG Pipelines
Retrieval quality, chunking strategy, reranking, source attribution, and hallucination vectors.
AI Assistants
Prompt design, context handling, persona consistency, and answer quality variance.
Agent Workflows
Tool use reliability, error handling, loop detection, memory management, and failure modes.
Automation Pipelines
Data ingestion, transformation quality, edge case handling, cost per run, and latency bottlenecks.
What's covered in the audit
Included
- Retrieval quality and failure patterns
- Prompt and workflow design review
- Evaluation gaps and missing tests
- Cost and latency risk assessment
- Data pipeline issues
- Failure mode inventory
- Prioritized fix roadmap
- Architecture change recommendations
Not included
- Full implementation or rewrites
- Production deployment
- Writing your app from scratch
- Unlimited debugging sessions
- Ongoing support contracts
How it works
You submit the intake form
After purchase, you'll get a structured intake form. Share your system description, demo links, repo access, examples of good and bad outputs, and your main concern.
I review and analyze
I inspect your system against a 50-point production readiness checklist covering retrieval, prompts, evaluation, architecture, and cost.
You get the audit report
Within 5 business days: a written diagnosis, prioritized issue list, fix-first/fix-later/ignore roadmap, and architecture recommendations.
30-minute debrief call
(Standard and Premium) Walk through the report together, validate priorities, and discuss what implementation would look like if you want to hire me next.
Pricing
Basic
A focused AI reliability audit for well-documented systems with a working demo. Get a clear picture of where you stand.
- Intake form review + system analysis
- Written audit report (PDF)
- Top 5 issues identified
- Fix-first / fix-later / ignore roadmap
- 3 business day turnaround
Standard
Full AI system evaluation with debrief call. Best for production AI with known reliability issues — get the complete RAG audit and roadmap.
- Everything in Basic
- 50-point production readiness checklist
- Full prioritized issue list
- Architecture recommendations
- 30-minute debrief call (video)
- Next-phase implementation estimate
Premium
Complete AI reliability audit plus a working prototype fix. Best if you want the highest-impact issue resolved and validated before you scale.
- Everything in Standard
- Prototype fix for top issue
- Before/after evaluation report
- Implementation spec for remaining roadmap
- Priority Slack access for 5 days
Common questions
Do you need access to my codebase or data?
Usually, the intake form gives me enough to run a meaningful AI reliability audit — screenshots, demo access, example outputs, and a system description. If I need repo access, we'll sort that out after you book.
What if my system is pre-launch?
Absolutely. An AI system evaluation before launch is often where you get the most value — before production traffic uncovers the cracks. I look at architecture, evaluation setup, and failure modes, all of which are far cheaper to fix pre-launch.
Can you audit a system I didn't build?
Yes. I've performed RAG audits on third-party vendors, open-source AI assistants, and legacy products that needed a production readiness review before enterprise deals closed.
What if the audit reveals my system is fine?
That happens — and honestly, that's useful information. You'll still get the full written report, the production readiness checklist, and the roadmap, so you have solid documentation of your system's strengths and any weak spots. Most systems turn up at least one fix worth prioritizing.
What happens after I get the report?
You own the audit report completely. Use it to hire me for implementation, bring in someone else, or handle the fixes yourself. The roadmap is yours to act on however you choose. If you want me to build the fixes, we work out a follow-on engagement at that point.
Your production AI probably doesn't need more prompting.
It needs an AI reliability audit.