AI Strategy & Productization
Move from AI experiments to product, workflow, and data strategies that can be shipped, measured, and governed.

I work with founders, CEOs, boards, and investors when the company needs experienced technology leadership, practical AI strategy, fundraising support, or product and engineering clarity.
Move from AI experiments to product, workflow, and data strategies that can be shipped, measured, and governed.
Evaluate roadmap, architecture, delivery process, team structure, vendor exposure, and execution risk.
Support founder narratives, technical diligence, investor conversations, and capital strategy for growth-stage ventures.
Help investors, boards, and acquirers understand product, architecture, team, security, and scalability risk.
Provide selective executive technology leadership during transitions, pivots, leadership gaps, or high-stakes product cycles.
Coach technical leaders, upgrade hiring and interview systems, and build agile teams with healthy operating rhythms.
The goal is not to run experiments forever. The goal is to find deployable workflows, measurable leverage, and governance that lets the organization move faster.
Inventory data assets, improve quality and access patterns, and make enterprise data usable for practical AI deployment.
Identify three to five high-ROI workflows for near-term deployment, measure lift, and reinvest gains into the operating model.
Design human+AI operating models that expand span-of-control, improve decision speed, and keep teams focused on outcomes.
I take on select advisory, capital, product, AI, and technical leadership engagements where experienced operating judgment can change the trajectory.