The PM Is the Bottleneck. This Time It Was Me.
I shipped a full AI product management tool in an innovation sprint. Then I fell into the exact trap it was designed to prevent.
Practical AI Implementation
Most organisations buy AI tools, hand them to employees, and expect magic. Instead they get meeting notes and email drafts. I help you move from AI theatre to actual transformation with frameworks built from 25+ years of implementation experience, not flashy marketing decks.
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I've spent 25+ years implementing systems and consulting in contact centres, knowledge management, and compliance-driven environments where "move fast and break things" gets you sued, not celebrated. I've deployed AI in organizations where mistakes cost millions and regulators are watching every decision.
I've tested the promises and watched organisations waste millions on tools their teams don't know how to use. I've also seen what happens when you get it right, when AI actually transforms workflows instead of just generating meeting notes. The difference isn't the technology. It's knowing how to implement it.
I'm not theorizing about AI transformation. I'm in it every day, leading global teams through complex implementations in banking, healthcare, and utilities. The kind of work where 'good enough' simply isn't enough and one mistake has real consequences.
The difference isn't the technology. It's knowing how to implement it.
How I can help
Whether you're evaluating AI tools, building internal frameworks, or looking for someone to write or speak on this, I share what 25 years of production work actually taught me.
Deep-dive articles on AI implementation, sales enablement, and operational maturity, the substance that helps you understand what actually works.
Read ArticlesGet frameworks, playbooks, and guides built from real deployments. AI pilot frameworks, ROI playbooks, sales enablement materials, and operational templates.
Get ResourcesGuest articles and speaking engagements on AI implementation, knowledge management, and what actually happens between the demo and production.
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I shipped a full AI product management tool in an innovation sprint. Then I fell into the exact trap it was designed to prevent.
When building gets cheap, the risk shifts from not shipping enough to shipping too much. Why validation and restraint are the PM's real job now.
Why ‘the AI hallucinated’ is almost always the wrong diagnosis, and what’s actually breaking underneath.
Why the semantic layer I spent years dismissing turns out to be the thing missing everywhere else.
What happens when AI lets you build faster than you can decide what you're building.
Why keeping your product consistent matters more now that decisions happen faster with AI.