AI strategy
Prioritize the use cases, governance, and implementation paths that turn AI from experiment into operating advantage.
Available for advisory engagements
Four-time CPO. AI product strategist. I help leadership teams move from scattered AI experiments to focused roadmaps, operating models, and measurable execution.
The three disciplines I bring to every engagement — from executive advisory to hands-on implementation.
Prioritize the use cases, governance, and implementation paths that turn AI from experiment into operating advantage.
CPO-level clarity for roadmaps, discovery, team design, metrics, and product-led transformation at scale.
Modernize legacy workflows and software delivery using practical operating models and AI-assisted execution.
Kevin doesn’t just advise — he rewires how your team thinks about product. Within weeks, our roadmap went from a feature list to a strategic asset.
Most AI consultants hand you a deck. Kevin handed us a working pilot and an adoption plan our frontline staff actually followed.
We had 12 AI ideas and no way to choose. Kevin’s framework cut that to 3 high-confidence bets in two weeks. The clarity was transformative.
The product operating model reset changed everything. We went from arguing about features to reviewing strategic bets with clear success criteria.
Kevin bridges the gap between what executives want AI to do and what product teams can actually deliver. That translation skill is rare.
His fractional CPO work gave us the strategic leadership we needed without the 12-month search for a full-time hire. ROI was immediate.
I’m a four-time Chief Product Officer with deep expertise in AI product strategy, operating model design, and transformation execution. I help mid-market and enterprise leaders move from AI ambition to measurable business outcomes.
My work spans executive advisory at ProductExec and AI implementation delivery at Enterprise AI Studio. Together they cover the full arc from strategy to production systems.
Every engagement starts with the same discipline: understand the system before prescribing a fix.
Whether you need to decide what to build, someone to build it, or a place to start small — the path runs through these practices.
For leaders who need to turn AI pressure into product strategy, operating model decisions, and an executable roadmap before teams commit delivery capacity.
Visit ProductExec →The implementation arm — readiness audits, workflow automation pilots, and intelligent assistant deployment for enterprise teams.
Visit Enterprise AI Studio →Practical AI pilots and guides for smaller teams — working pilots measured at 30, 60, and 90 days, not demos.
Visit Smart Biz AI Hub →Choose the starting point that matches where you are — each pattern is described in detail on the Work page.
Prioritized use-case map, risk assessment, and implementation roadmap.
How it works →Decision rights, roadmap governance, discovery cadence, metrics, and workflow design.
How it works →Working pilot for automation, assistants, document intelligence, or workflow agents.
How it works →Whether you need strategy clarity or a working system — let’s find the right starting point.
Not ready for a call? Start with the 3-question readiness check in the Lab.