Growth, service, and risk demands rise faster than many operating models can absorb.
Enterprise AI & Transformation Executive
Changing the economics of how large enterprises operate.
I lead enterprise transformation where AI, technology, and operating-model change must translate into measurable business value, not more activity.
Fortune 100 operator and former global consulting leader spanning $20M+ portfolios, 200+ person cross-functional ecosystems, and leadership roles within $500M+ transformations.
Workflow, decision rights, data, controls, and technology complexity absorb the benefit of investment.
Start with the constraint. Redesign the work. Apply technology where it changes the economics.
The operating challenge
Technology is rarely the constraint.
Large enterprises can add technology faster than they can change how work gets done. Value stays trapped when workflows, decision rights, data, controls, and adoption remain unchanged. The more consequential question is simple: what is preventing the business from producing a materially better outcome?
Selected enterprise impact
Absorb growth without proportional complexity.
At Fidelity, OneCRM scaled beyond 2M annual cases in 2025, absorbing 37% year-over-year growth at 99.5% availability and a 14-day average cycle time. The point was not more platform activity. It was higher demand without proportional operating complexity.
Turn modernization into operating leverage.
Across Allianz underwriting transformation, response time improved 37%, new-line onboarding accelerated 35%, targeted-workflow productivity increased up to 90%, and the work delivered $11M in savings.
Put AI inside the work that matters.
At Fidelity, I advanced live AI-enabled workflows across advisor preparation, meeting intelligence, follow-up automation, routing, and lead prioritization, while embedding AI-assisted development into engineering delivery.
Leadership pattern
Operator accountability. Consulting pattern recognition.
My career combines Fortune 100 operating leadership with global consulting across complex transformation. The work is not simply choosing the right technology. It is aligning business, engineering, operations, governance, and change around an outcome the enterprise can absorb, control, and scale.
Perspectives
AI matters when it changes the economics of work.
My perspectives focus on the operating questions underneath enterprise AI: where the binding constraint sits, how work and decision rights change, what trusted context AI needs, and how technology becomes measurable enterprise value.
Read the flagship perspective →Contact
Start with the difficult part.
Tell me the business pressure, what needs to change, and why it matters now. A few lines are enough.
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