Got an AI system? Let's make sure it doesn't fail!

In this 45-minute deep-dive, we'll go beyond the surface and diagnose exactly where your AI system is fragile — in testing, quality, or governance.

With 15 years in automation engineering and hands-on experience testing AI systems, I bring a structured, no-fluff perspective that helps you move from uncertainty to a clear action plan.

What we'll cover:

Audit your current AI testing approach and identify critical gaps

Evaluate your AI outputs for bias, drift, and explainability risks

Review your governance posture — who owns what, and what's missing

Build a prioritised action plan you can implement immediately

Recommend tools, frameworks, and next steps specific to your context

You'll walk away with:

A clear picture of your AI system's risk areas

A prioritized list of what to fix first

Practical recommendations — not theory

Confidence to make the right next decision

Best for: QA leads, Engineering managers, CTOs, and AI product owners who are running or planning AI systems and want an expert second opinion before something goes wrong.