The AI value gap is a systems challenge.
How do organizations connect AI capabilities to client needs, workflow redesign, incentives and accountable outcomes across the enterprise?
Explore the question ↗AI · PRODUCT · STRATEGY · VALUE CREATION
Turning intelligence into institutional advantage.
I help organizations realize measurable value by identifying emerging technology and market shifts, validating customer needs, shaping product, portfolio and investment choices through data and economic analysis, and orchestrating execution across people, workflows and operating models.
01 / PERSPECTIVE
Enterprise value is a systems outcome.
Innovation expands what is possible. Institutional evolution determines what becomes valuable.
AI value depends on aligning capabilities with real needs, operating models and decisions. My perspective connects technical, economic and organizational systems to the outcomes they produce.
Explore the perspective ↗02 / FRAMEWORK
From intelligence
to value realization.
A closed-loop approach that turns meaningful signals into sound choices, mobilizes the right capabilities and tracks realized economic value. Explore the underlying mechanisms on the dedicated page.
Explore the framework ↗01Intelligence
02Choices
03Execution
04Value
Learning feeds the next decision ↶
03 / IDEAS
Questions worth exploring.
Focused perspectives at the intersection of AI, economic value, institutional change and responsible execution.
Productivity follows complementary investment.
What explains the delay between emerging technology investment and measured economic productivity, and what should leaders do during that transition?
Explore the economic lens ↗Selected questions and supporting work, with deeper analysis available when the evidence is ready.
04 / EVIDENCE
Recent work.
Real questions, rigorous methods.
A signature thesis and an applied research example, connecting strategic systems thinking with quantitative evidence.
SIGNATURE PERSPECTIVE · EXECUTIVE SESSION
Tech Services 2.0
AI capabilities are accelerating faster than enterprise value. My thesis examines how services, workflows, operating models, adoption, governance and outcome-linked economics must evolve together to close the value gap.
AI value realization · Enterprise orchestration · Services economicsExplore the perspective ↗
APPLIED RESEARCH · HARVARD UNIVERSITYModelling U.S. Labor Productivity in the Age of AI
Quantitative analysis of whether technology-related investment signals help explain productivity dynamics. Models that allowed relationships to evolve over time proved more informative than fixed short-run specifications.
Time-series forecasting · Model evaluation · AI economicsExplore research ↗
05 / CAPABILITIES
The range to connect.
The depth to execute.
My work brings together disciplines that are often managed separately, with technical fluency to engage the details and executive judgment to make the whole system work.
AI & data science
Statistical modeling, machine learning, deep learning, forecasting, model evaluation and AI-enabled workflows.
Product & commercialization
Customer discovery, product strategy, value propositions, GTM, pricing and monetization economics.
Portfolio & transformation
Prioritization, operating cadences, cross-domain dependencies, implementation and performance management.
Finance & governance
Capital allocation, economic reasoning, risk, incentives, board oversight and institutional decision-making.
ADVISORY & VALUE CREATION
Explore advisory focus ↗For leaders, investors, founders and boards navigating AI-enabled change.