5 articles
Applied AI Is an Operating-Model Problem
Where enterprise AI value actually comes from: the operating model around the work, decision rights, workflows, governance, and durable memory, rather than the tools themselves.
I'm a technology executive, strategist, and operator with more than 25 years of experience turning technology investments into measurable business outcomes. I've led global and regional organizations across software engineering, digital transformation, AI, cloud platforms, product, and technology operations, from startups to Fortune 500 enterprises. My work centers on aligning strategy, organizational design, governance, and execution into operating models that scale, and on helping enterprises adopt AI in ways that are practical, governed, and repeatable.
Aligning strategy, organizational design, governance, and execution into operating models that scale and that hold up as technology and markets change.
Bringing scope discipline, continuous estimation, and executive cadence to delivery so complex programs stay transparent, predictable, and accountable.
Moving enterprises beyond experimentation with agent frameworks, certification models, and governance controls that make AI adoption practical, auditable, and repeatable.
Modernizing platforms and technology operations across regulated and matrixed environments, tying architecture and delivery decisions to business outcomes.
5 articles
Where enterprise AI value actually comes from: the operating model around the work, decision rights, workflows, governance, and durable memory, rather than the tools themselves.
4 articles
A governed path from what the business decided to what code is written, with every step traceable to the reason it exists and checked before it moves forward.
6 articles
Why sound strategy leaks after it is set, and how to give the executive team an operating model for its own execution: nested planning horizons, a tracked unit of commitment, disciplined re-sequencing, and honest measures of follow-through.