AI Product Strategy
Clarify where AI fits, what problem it should solve, who it serves, and how it can create real product or business value.
Learn moreMove from AI ambition to product clarity.
I help founders, CTOs, and product teams turn unclear AI opportunities into focused strategy, MVP scope, practical prototypes, and execution plans.
AI product strategy for teams that need clarity before they build.
Whether you're exploring a new AI product, adding AI to an existing workflow, or trying to prioritize what to build first, I help turn early ideas into practical product plans your team can actually execute.
AI Opportunity Discovery
Identify and prioritize the AI use cases that are worth exploring before you commit engineering time or budget.
Learn moreAI Integration Evaluation
Assess tools, services, workflows, and technical options so your team can make better product decisions without getting lost in vendor noise.
Learn moreFractional Product Leadership
Get senior product support for AI initiatives without hiring a full-time product leader before you're ready.
Learn moreWorkflow Automation Strategy
Map manual or inefficient workflows and define where AI or automation can make the experience faster, smarter, or easier to scale.
Learn moreProduct-Market Fit Support
Help early teams test assumptions, narrow the MVP, validate user needs, and turn vague product ideas into sharper bets.
Learn morePractical AI product leadership
AI strategy is only useful if it helps you decide what to build next.
Most teams get AI wrong because they start with the technology instead of the customer workflow, the business problem, and the real decision they are trying to improve. I help teams cut through the AI noise, understand what is actually worth building, and turn promising ideas into clear, testable product direction.
- Outcome-focused from the start — Start with the user problem, business goal, and workflow before choosing tools or models.
- Technical fluency without the hand-waving — Translate between founders, product, design, and engineering so the strategy can actually be built.
- Fast discovery, clear decisions — Quickly separate useful AI opportunities from expensive distractions.
- Strategy through execution — Move from opportunity assessment to MVP scope, prototype plan, roadmap, and delivery support.
A clear path from AI idea to product direction.
The process is designed to be lightweight, practical, and focused on helping your team make better decisions quickly.
Discover
We start by understanding the customer workflow, business problem, product context, and assumptions behind the AI opportunity. The goal is to find the real problem before jumping to a solution.
Define
We narrow the opportunity into a focused product direction, MVP scope, requirements, success criteria, and practical build options.
Prototype
Depending on the engagement, we define a prototype plan, create product flows, outline the AI workflow, or build a lightweight demo to make the idea easier to test and discuss.
Deliver
We turn the strategy into an execution roadmap your team can use to build, validate, and ship with more confidence.
Product thinking applied to real AI and platform problems.
My work combines senior product leadership, 0→1 product building, enterprise product experience, and hands-on AI prototyping. Some examples are professional product work; others are independent prototypes that show how I think through AI product opportunities.
AI Product Strategy
AI Product Opportunity Assessment
Evaluated an early AI product idea by mapping the customer workflow, identifying the real decision points, narrowing the MVP, and defining where AI could create practical value instead of adding complexity.
AI StrategyMVP Scope
View case studyPrototype Planning
AI Workflow Prototype
Designed a product-facing AI workflow that connected user inputs, model reasoning, structured outputs, and a clear user experience. The goal was to make the AI system understandable, testable, and buildable.
AI WorkflowPrototype
View case studyPlatform & API Products
Enterprise Integration Product Leadership
Led product work across complex enterprise workflows, integrations, and platform experiences where clear requirements, cross-functional alignment, and execution discipline were critical to delivery.
APIsEnterprise Product
View case study20+
Years in product leadership
0→1
Product building experience
AI
Strategy and prototype work
API
Integration and platform experience
Senior product leadership for teams building practical AI products.
I'm a product leader with 20+ years of experience across startups, enterprise software, platform products, integrations, and 0→1 product development. I've worked on products at companies including Workday and Yahoo, and I've spent my career helping teams turn complex ideas into clear product direction.
I'm moving into consulting to work more directly with founders and product teams on the messy early stages of AI product development: figuring out what is worth building, how the experience should work, what the MVP should include, and how to move from idea to prototype to roadmap. My style is practical, collaborative, and hands-on. I'm not here to sell AI hype. I'm here to help teams make better product decisions.
Have an AI product idea but aren't sure what to build first?
Let's talk through the opportunity, the workflow, the user problem, and what a practical first version could look like. The goal of the call is simple: figure out whether there's a clear path forward and where I can help.