Have I figured AI out? No. Nobody has; it is an expanding landscape. What I bring is hands-on experience, the scars of work done at scale, and mental models that help boards, investors, and executive teams across the insurance ecosystem ask the right questions, then co-create the most optimized answers for each organization's situation.
No one has AI figured out. Distrust anyone who claims otherwise. The advantage goes to teams asking better questions, faster.
Scars beat slideware. Mental models earned in production, at scale, with real money at stake, are what I bring into the room.
Profitable growth or nothing. I work with insurance organizations that are profitable and cash-flow positive, not playing the valuation game.
Insurance organizations in transition are engineered chaos: overlapping bets, unfinished integrations, AI experiments everywhere. My work is turning that chaos into order, from labs to ledgers, in a sequence boards, auditors, and investment committees can follow.
Where value actually sits: capital allocation, portfolio choices, build-buy-license decisions, and the questions every board should ask about cost, risk, and defensibility.
Operating model, data foundations, governance, and change design so that adoption is engineered in, not hoped for after go-live.
Deals closed, platforms shipped, RFPs won, integrations delivered. Production systems and signed contracts, not pilots and roadmaps.
Operating earnings, cash flow, licensable IP, and stronger enterprise value, documented in language CFOs, boards, and regulators recognize.
For carriers, reinsurers, MGAs/MGUs, brokers, TPAs, InsurTech companies, and ecosystem partners, and for the boards and investors behind them. One filter across every engagement: I work with profitable, cash-flow-positive organizations, in service of profitable growth.
I have built, patented, licensed, and exited proprietary IP three times. I help companies find the licensable asset hiding inside their operations and turn it into recurring revenue and stronger enterprise value.
Insurance procurement is a discipline. I have won complex, multi-stage pursuits across claims, analytics, and finance transformation, and I run the same machinery for vendors who cannot afford to lose winnable deals.
Author of a patent-pending 304-factor AI risk framework mapped to 12 regulatory frameworks including NIST AI RMF and ISO/IEC 42001. I make AI portfolios defensible to boards, auditors, and regulators.
Operator-grade judgment for insurance and insurance-technology investments: what is real, what is defensible, and where the value-creation levers actually are. Available for diligence sprints, board seats, and operating-partner engagement.
I help institutional investors aggregate and govern their investments across the insurance ecosystem globally: direct private and public market positions in insurance and insurance technology businesses, exposure to insurance-linked securities, and insurance capital markets strategies.
Informational only. Nothing on this page is an offer to sell, or a solicitation of an offer to buy, any security or investment interest.
Selected case studies from 25+ years across insurance, capital markets, and enterprise AI. Client and employer names withheld by design; every result below is documented and referenceable in the right setting.
Led value-capture and integration workstreams for a nearly $5B cross-border acquisition at a global professional services firm, spanning operations, technology, and offshore delivery across multiple geographies.
Founded and scaled a data analytics center of excellence at a global business services firm, from first hire to a portfolio of production-grade AI, ML, and NLP programs serving insurers and financial institutions worldwide.
Co-built a patent-pending insurance distribution platform as founder-operator, took it to market, and exited to deliver an outsized return to investors in under three years.
Designed and commercialized a proprietary index platform adopted by institutional managers, converting research IP into a licensed, revenue-generating asset.
Conceived and led a recovery-as-a-service offering for the claims value chain, taking it from concept to a signed anchor agreement with a Top 20 global P&C carrier with roughly $20B in US premium.
Led winning responses for enterprise dashboarding, analytics, and finance-transformation pursuits at Tier 1 insurers and one of the world's largest pension investors, including orals, live demos, and commercial structuring.
I do not just advise on IP and thought leadership. I practice both, on my own balance sheet.
A patent-pending framework that scores AI risk across 304 factors on three axes: Vulnerability, Impact, and Interconnectedness, spanning 18 categories and 6 regulated sectors, with a regulatory crosswalk to 12 frameworks including NIST AI RMF and ISO/IEC 42001. Fully operationalized as a working underwriting and assessment platform, from intake through scoring, rating, governance, and audit-ready evidence packs.
I help institutional investors aggregate their investments across the insurance ecosystem worldwide: from direct private and public market investments in insurance and insurance technology businesses, to exposure to insurance-linked securities and insurance capital markets. The filter never changes: profitable, cash-flow-positive businesses, evaluated with operator judgment rather than spreadsheet optimism.
This section describes areas of professional interest for discussion purposes only. It is not an offer to sell, or a solicitation of an offer to buy, any security, investment interest, or advisory service, and it is not investment advice or a recommendation of any strategy or asset class.
I am a growth and value-creation executive with 25+ years across insurance, InsurTech, and capital markets, currently leading a nine-figure AI-era growth charter in North America financial services at a global consulting and business services firm. My work sits at the intersection of capital allocation and leadership: deciding where money and talent go, then leading the teams that turn those decisions into business value.
My career has one repeating pattern: walk into chaos, build the machine that turns it into order, and leave behind something durable, whether that is an $80M savings run-rate, a 300-program AI practice, a licensed index platform, or a patent-pending risk framework. Business strategy and transformation matter to me only insofar as they convert into business value; the rest is theater.
In enterprise AI, I work across all three fronts: innovation (two patent-pending frameworks and a production risk platform), execution (hundreds of AI, ML, and NLP programs taken live inside regulated institutions), and governance (board-grade frameworks for AI cost, risk, and defensibility).
I am also a writer, in both business and fiction. My business writing spans books and papers on enterprise AI economics, governance, and regulation; my fiction projects are longer-arc work in progress. And I am a neurodiversity advocate: a longtime coach in inclusive and adaptive sports programs, work that has taught me more about adoption, patience, and change than any transformation methodology ever did.
Board advisory, diligence, IP monetization, AI governance, deal execution, or the investment thesis. One conversation is usually enough to know if there is a fit.
Effective date: August 30, 2026
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