AI strategy and execution for technology companies

Technology companies face the same pressure: AI is expected in the product, in customer conversations, and in the roadmap—while production reality (data, integration, reliability, regulation) determines whether any of it becomes advantage. I work with leadership teams on the technical and product judgment needed to move from ambition to something customers can rely on and the business can stand behind.

How I Help

AI product and platform direction
Clarify where AI can realistically strengthen the product and the business, what it depends on (data, architecture, team), and what to sequence first. Output is decision-grade clarity—not a generic transformation deck.

Architecture and execution roadmap
Turn direction into a practical plan: system boundaries, technical risks, milestones, and trade-offs your engineering org can execute. Grounded in what production and customer environments actually allow.

Fractional AI leadership
Hands-on senior support while you build: challenge assumptions, align product and engineering, and keep execution aligned with the roadmap as conditions change.

How I Work

Every engagement starts with a conversation about your product, your constraints, and the decisions that matter now. I work from evidence—systems, data, team capability, and operational context—not from AI hype or vendor narratives. The aim is judgment you can act on: what to build, what to defer, and what would be reckless to promise.

I work with a limited number of clients at a time to ensure each engagement receives the depth and precision it needs.