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AI Audit & Assessment

An independent review of your AI systems — what works, what doesn't, what to fix first. You get a prioritised action list, not a report that gathers dust.

Published

November 17, 2025

Updated

November 17, 2025

Find out what’s actually working — and what to kill, fix, or scale

Most AI audits produce a 60-page PDF nobody reads. I audit to give you a ranked list of actions: what to fix this week, what to fix this quarter, and what to stop wasting money on entirely.

This is useful before scaling a proof-of-concept to production, after inheriting AI systems nobody fully understands, when costs escalate faster than value, or when investors or regulators start asking hard questions.

How it works

  • Week 1 — Discovery: Stakeholder interviews, system inventory, access provisioning. Output: assessment plan with clear scope.
  • Weeks 2-3 — Technical deep dive: Architecture review, code quality, performance testing (latency, accuracy, cost per query), security audit, integration testing.
  • Week 3-4 — Business review: Is this AI actually moving the numbers it’s supposed to? ROI analysis, team capability gaps, competitive positioning.
  • Week 4-5 — Handoff: Executive presentation, technical workshop with your engineering team, phased roadmap with effort estimates.

I don’t throw a document over the wall. The handoff includes working sessions where your team pressure-tests the findings and plans next steps.

What you get

  • Executive summary with risk dashboard and ROI analysis
  • Technical report covering architecture, security, performance, and code quality
  • Prioritised roadmap ranked by impact and effort — quick wins flagged separately
  • Team capability assessment with specific hiring or training recommendations

Who this is for

You have AI in production but lack confidence it’s built right, costs what it should, or delivers what it promised. Maybe you inherited systems through an acquisition. Maybe the original engineer left. Maybe things just feel slower and more expensive than they should.

Internal teams have blind spots about their own work. I bring pattern recognition from 25+ years of building and evaluating systems across real estate, automotive, healthcare, and financial services.

Not sure where you stand? The AI Maturity Assessment gives you a quick self-evaluation before engaging a full audit.

Book a free call

Schedule a 30-minute call to discuss your AI systems and whether an assessment fits.