Jason Lee
Directing Agentic AI where it actually matters. At the constraints.
ScrollThe question is not which tasks can AI automate. The question is which constraints can AI eliminate.— From "Beyond the Local Efficiency Illusion"
I'm a Forward Deployed Strategist at Google Cloud, where I help enterprises cross the gap between agentic AI pilots and production.
My work sits at the intersection of frontier models and enterprise reality — the messy, political, system-level place where most transformations stall. I've led engagements across regulated industries — clinical healthcare, financial services, manufacturing, defense — where the gap between an impressive demo and a deployable system is measured in months, not minutes.
I co-authored Google Cloud's Agentic Transformation Framework and write about why most AI investments fail to reach the P&L. I have a background in finance and behavioral economics, spent formative years working for international companies headquartered in Milan and New York, and currently split my time between enterprise strategy and red-teaming SOTA and Frontier Models with Google's AI Principles Pioneers.
I take on a small number of outside engagements each year. If any of the focus areas below match a real problem you're working on — not a vague curiosity — I'd like to hear about it.
Four areas where deep engagement changes the outcome.
Productionization of Agentic Solutions
Most agentic pilots stall on the way to production. The demo works, the steering committee applauds, and then the system meets real users, real data, and real compliance. I work that gap — the architecture, the evaluation discipline, and the unglamorous stakeholder choreography that turns a prototype into a system that can hold weight.
Multi-Agent Systems
Enterprise work isn't a pipeline — it's a weather system. Handoffs, approvals, parallel tracks, and exceptions that don't fit the spec. I design multi-agent architectures that respect that topology: orchestration that survives reality, guardrails that hold under load, and a clear theory of which agent is responsible for what.
Context Engineering
Agents are only as reliable as what they know. The difference between brittle and production-grade is almost never the model — it's the retrieval, the memory, the tool design, and the quiet discipline of finding where the system fails before your users do. I work on the context architecture that compounds into trust.
0–1 Frontier Innovation
The best opportunities don't live in the feature backlog — they live at the edge of what just became possible. I partner with founders and intrapreneurs on zero-to-one work where the hard question isn't "which model?" but "what shape is the thing we can now build that was science fiction six months ago?"
Papers, frameworks, and things I've built.
Beyond the Local Efficiency Illusion
A constraint-driven approach to agentic AI transformation — why most AI investments fail to reach the P&L, and a systems-thinking framework for directing investment where it actually matters. White Paper 2026Agentic Transformation Framework (ATF)
A comprehensive blueprint guiding enterprises from initial AI concepts to scaled execution — an iterative lifecycle encompassing strategy, process reimagination, use case design, agent building, and quality alignment. Co-authored at Google Cloud. Framework 2026SCOPE
Strategic Constraint & Optimization Prioritization Engine — a use case prioritization tool that replaces qualitative 2×2 workshops with multi-attribute utility theory, confidence-weighted expected value, and Bayesian updating. Tool 2025Generative AI Innovation Factories
End-to-end development of enterprise agentic solutions across Fortune 50 clients — Agentspace integrations, custom agentic workflows, and internal knowledge assistants (RAG/GraphRAG). ProgramPartnerships I'm proud of.
A selection of publicly cited engagements I've contributed to at Google Cloud — largely in healthcare & life sciences, public health, and the systems that shape people's daily lives. The work I'm drawn to sits where agentic AI meets meaningful human outcomes.
CVS Health × Google
Strategic alignment with CVS Health on the safe and ethical use of health AI — safeguarding patient data privacy, upholding responsible AI implementation, and building systems with equity as a cornerstone. 2025HCA Healthcare × Google
Multi-workstream partnership across HCA's 190 hospitals — an AI-powered Nurse Handoff tool built with frontline nurses as co-designers (early pilots rated 86% factual, 90% helpful), alongside ambient documentation that converts clinician-patient conversations into draft EHR notes for physician review and approval. 2025CME Group × Google Cloud Universal Ledger
Tokenization technology introduced to enhance capital market efficiency — a first-of-its-kind collaboration between the world's largest derivatives marketplace and Google Cloud's new Universal Ledger. 2025Mayo Clinic × Google
Partnership pairing Mayo Clinic's clinical expertise with Google's cloud, data analytics, and AI — researching and building transformational tools that equip healthcare providers to improve patient outcomes at global scale. 2024Taiwan NHIA × Google
Collaboration with Taiwan's National Health Insurance Administration on type 2 diabetes risk prediction and management — applying Google Cloud's AI and data analytics capabilities at national population scale. 2024Dexcom × Google
Generative AI platform built with Dexcom — the global leader in continuous glucose biosensing — to help millions of users translate real-time glucose data into actionable decisions for their own health, powered by Google Cloud. 2023McDonald's × Google Cloud
Strategic partnership to connect the latest cloud technology and apply generative AI solutions across McDonald's restaurants worldwide.A working history.
Forward Deployed Strategist · AI/ML
Technical strategy for key enterprise accounts — transitioning customers from POC to production-grade agentic AI deployments across regulated industries. Codifying playbooks for 1-to-10 scaling.
AI Principles Pioneer · Red Team & Advisory
Red-teaming frameworks for Google's emerging generative AI models — in partnership with DeepMind and research teams across Core, Cloud, and Moonshot initiatives. Focus on fairness, harm, and human-rights risk.
Innovation Lead, AI Strategy
Digital transformation strategy for Fortune 50 clients. Launched "Generative AI Innovation Factories" — end-to-end enterprise agentic solutions including Agentspace integrations, custom workflows, and RAG/GraphRAG knowledge assistants.
Transformation & Innovation Product Owner
Global research and innovation lead across business lines. Built strategic frameworks and deployed technology opportunities across multi-cloud environments. Shaped the global product development roadmap.
Innovation & Strategy Consulting Partner
Lead strategist on competitive insights, market research, and product analytics. Built dynamic pricing models and reusable market research frameworks using conjoint and TURF analysis.
If you're working on something hard at the edge of agentic AI — I'd like to hear about it.
I take on a small number of 1:1 engagements each year — advisory sessions, constraint-diagnosis workshops, and 0-to-1 innovation sprints. If what you're working on matches one of the focus areas above, book a 30-minute intro below, or send a note directly.