AI Strategy
Leadership guidance for choosing where AI can create durable value and how the organization should act.
Browse topics Independent AI and commercial strategy
Strategy. Products. Infrastructure. Growth.
AI decisions that work in the real world.
I help founders, leadership teams, and institutions turn AI ambition into clear priorities, viable products, responsible operating models, and commercial progress.
Expertise
A connected view of AI value.
Strong decisions connect business intent, product design, operating reality, economics, and responsible execution.
AI Infrastructure
Business-led choices about compute, platforms, models, data, cost, and operational scale.
Browse topicsGenerative and Agentic AI
Practical design of generative and agentic systems that people can trust, operate, and improve.
Browse topicsAI Products and Monetization
Product, pricing, commercialization, and investment choices that turn AI capability into a viable offer.
Browse topicsA practical point of view
Technology choices become valuable when the surrounding decisions are coherent.
That means understanding the customer or colleague doing the work, the economics of delivery, the responsibilities of the operating team, the evidence required for trust, and the route to adoption.
Ways to work together
Focused advisory for consequential decisions.
AI Strategy Advisory
A focused leadership engagement to define priorities, choices, and a practical AI direction.
AI Opportunity and Readiness
An evidence-led assessment of value pools, operating conditions, constraints, and next moves.
AI Product and Monetization
Product, packaging, pricing, economics, and go-to-market decisions for AI-enabled offers.
AI Infrastructure Economics
Business guidance on models, compute, inference, platform choices, and cost exposure.
Agentic Workflow Design
Workflow redesign for systems that assist, coordinate, or act with appropriate human control.
Executive Workshops
Decision-oriented sessions that build shared language and resolve a defined leadership question.
Use cases
Begin with work, not a generic tool.
Each pattern starts from a user, a workflow, a decision, and the controls needed to operate it well.
sales
Assistant for sales
Assistant for sales: a practical guide to give people relevant context, a useful first response, and a clear path to verify or escalate in account research, qualification, coaching, opportunity progression, and forecast quality.
Open guidemarketing
Decision support for marketing
Decision support for marketing: a practical guide to assemble evidence, surface options, and preserve accountable human judgment in audience insight, planning, experimentation, production, and performance learning.
Open guidecustomer service
Workflow orchestration for customer service
Workflow orchestration for customer service: a practical guide to coordinate steps, tools, approvals, exceptions, and recovery across the process in triage, resolution, agent support, knowledge quality, and service recovery.
Open guidefinance
Quality and insight for finance
Quality and insight for finance: a practical guide to detect patterns, review work, explain variance, and strengthen continuous learning in close, analysis, controls, forecasting, and management decision support.
Open guidehuman resources
Assistant for human resources
Assistant for human resources: a practical guide to give people relevant context, a useful first response, and a clear path to verify or escalate in workforce planning, employee service, learning, talent decisions, and fair process.
Open guidelegal teams
Decision support for legal teams
Decision support for legal teams: a practical guide to assemble evidence, surface options, and preserve accountable human judgment in intake, research, drafting, review, matter knowledge, and professional accountability.
Open guideHow the work moves
Clarity before scale.
Frame
Define the decision and the mechanism through which value should be created.
Align
Make owners, evidence, tradeoffs, constraints, and unresolved risk visible.
Build
Create a bounded proof with a baseline, controls, and an explicit next gate.
Grow
Turn learning into operating capability, adoption, and disciplined investment.
Selected outcomes
Evidence, kept in proportion.
Revenue influenced across complex enterprise and institutional environments.
ARR growth achieved in 18 months through structured commercial execution.
Experience across technology, enterprise, partnerships, and market development.
Latest thinking
Better questions for AI leaders.
The AI strategy questions that belong in the boardroom
A board needs an investment and exposure conversation, not a catalogue of model features.
Why AI roadmaps fail when they become feature lists
A useful roadmap sequences decisions, organizational learning, and enabling foundations.
The hidden operating model inside every AI pilot
Even a small pilot creates roles, approvals, data flows, and support obligations.
Treat inference as a product economics decision
Serving choices shape latency, experience, margin, and the promises a product can make.
A practical way to discuss token economics
Tokens become useful to leaders when translated into user actions, service levels, and unit cost.
When a smaller model is the better business choice
Capability should be judged against the task, operating constraints, and total service design.
Common questions
Before the first conversation.
Every engagement begins with context. These answers explain the shape of the work, not a fixed formula.
Read all questionsWhere should an organization begin with AI?
Begin with a consequential decision or workflow, a clear owner, a baseline, and evidence that would justify the next commitment.
Is this work mainly technical?
No. Technology matters, but so do product choices, economics, operating models, adoption, risk, and the commercial context.
Can you help with an existing AI portfolio?
Yes. A portfolio review can clarify priorities, dependencies, evidence, risk, and the decisions needed to progress or stop initiatives.
Do you work with leadership teams and operating teams?
Yes. The best work connects executive intent to the people who own the workflow, product, platform, controls, and customer outcome.
Start with the real question
What needs to become clearer?
Share the decision, opportunity, or operating problem in front of you.