Technical Audit
Audit your AI assistant like it's a real product — and get a fix plan your team can ship.
Your assistant is live. Now it needs to work as a system.
Assistants usually don't plateau because the model is "not smart enough". They plateau because the system around the assistant makes it hard to:
Deliverables
Audit Report (Findings + Risks)
A clear list of issues, why they matter, and where they show up in real user experience.
Prioritized Fix Plan
A ranked backlog with impact, effort, recommended sequence, and who should own it.
Measurement Blueprint
A tracking plan to understand intent, adoption drop-offs, and which assistant behaviors drive product actions.
QA & Release Recommendations
What to test, how to prevent regressions, and how to define "safe to ship" quality thresholds.
What we audit
Architecture Review
Measurement Analysis
QA Assessment
How the audit runs
Kickoff (60–90 min)
Align on goals, key journeys, current pains, and what "good" looks like.
System walkthrough
Walk through the assistant end-to-end: routing, tools, prompts, UI, and release process.
Evidence review
Review what you already have: dashboards, logs, QA docs, example conversations.
Readout + Fix Plan
Live readout of findings + prioritized recommendations. We deliver the audit pack.
Ready to see what's holding your assistant back?
Get a clear picture of architecture gaps, measurement blind spots, and QA risks — with a fix plan your team can act on.
Request an Audit