AI for Product Leaders
How do I make smart AI decisions for my product?
AI can make you dramatically more effective as a product leader. It can also add real value to your product. But the pitfalls are real: runaway costs, unpredictable outputs, features that become commoditised before you ship. Let's figure out what actually makes sense.
The Challenge
As a product manager or product owner, you’re caught between two AI opportunities — and two sets of risks.
First: AI can make you better at your job. Customer research, competitive analysis, writing specs, synthesising feedback — AI tools can dramatically accelerate your work. But which tools actually help versus just add noise?
Second: AI might belong in your product. Your stakeholders are asking about it. Competitors are announcing AI features. But integrating AI comes with real challenges that most demos don’t show you.
The costs can spiral — API calls, compute, fine-tuning. The outputs are unpredictable — great for demos, problematic when customers expect consistency. The landscape shifts constantly — today’s differentiator is tomorrow’s commodity. And the moat question is brutal: if you’re wrapping someone else’s model, what’s stopping competitors from doing the same?
You need someone who understands both sides: how AI can make you more effective today, and how to make smart integration decisions that won’t backfire tomorrow.
You might be thinking...
What People Say
"Toon's ability to craft compelling visions and innovative solutions at Skryv was not just future-aware but transformational. His strategic foresight in technology set a solid foundation for our future. My time at Skryv was a journey outside my comfort zone, surrounded by a fantastic team, leading to profound personal and professional growth."
"A Very Impactful Experience!"
"Toon brings deep knowledge and hands-on experience that command respect, both technically and organisationally. His insights and proactive approach allowed us to address critical challenges, gradually improving our structure and workflow. His ability to focus on what truly matters, coupled with his open communication and thoughtful suggestions, made our collaboration highly effective."
"I wouldn't hesitate to work with him again!"
My Approach
I work with product leaders on both fronts: becoming more effective with AI tools yourself, and making smart decisions about AI in your product. No hype, just practical guidance.
Clarity
Assessment · Days
We map your situation. For personal effectiveness: where AI tools can genuinely save you time versus add overhead. For product integration: which opportunities are real, what the actual costs look like, and where the moat risks are. I'll be honest about what's worth pursuing and what isn't.
Expect: A clear picture of AI opportunities — both for your workflow and your product — with realistic cost/benefit analysis.
Focus
Validation · Weeks
We test the most promising opportunities. For your workflow: hands-on experimentation with tools that fit your context. For product features: proof-of-concept work that reveals the real costs, edge cases, and user experience challenges before you commit resources.
Expect: Validated tools for your workflow and/or a proof-of-concept that honestly shows what works and what doesn't.
Momentum
Optional · Months
If you're moving forward with AI features, I help you plan for the pitfalls: cost management strategies, handling unpredictable outputs, building defensible value beyond the AI layer. The goal is decisions you can make confidently on your own.
Expect: A realistic implementation plan addressing costs, reliability, and competitive positioning — with your team ready to own it.
What You Get
Personal AI Toolkit
Practical AI tools and workflows that actually make your product work more effective.
Opportunity Assessment
Honest evaluation of AI integration opportunities — including the ones that aren't worth it.
Cost Reality Check
Real numbers on what AI features actually cost to build and run, not just optimistic estimates.
Edge Case Analysis
Understanding of how AI features behave when things get weird — before your customers find out.
Moat Strategy
How to build defensible value when the underlying AI is available to everyone.
Decision Framework
A way to evaluate future AI opportunities without needing outside help every time.
Who This Is For
This is for you if...
- ✓ You're a PM/PO who wants to use AI tools but doesn't know where to start
- ✓ You're evaluating AI features and want an honest assessment of the pitfalls
- ✓ You've seen AI costs spiral and want to understand the economics before committing
- ✓ You're worried about building features that become commoditised quickly
- ✓ You want to make smart AI decisions independently, not depend on consultants
This is NOT for you if...
- You want to add 'AI-powered' to marketing without solving real problems
- You expect AI to fix fundamental product or business model issues
- You're looking for someone to build and maintain AI systems for you
- You're not willing to hear that some AI ideas aren't worth pursuing
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Ready for an honest conversation?
I offer a free expert session around this topic.
No pitch, no pressure. Just an honest look at where you are,
with relevant advice for next steps — with or without me.
Free Expert Session
Up to 3 hours · Honest assessment · No commitment