AI strategy that turns into shipped work
Clear bets, clear tradeoffs, and a plan your team can execute without arguing for six months about tools.
What You Get
Tangible outputs, not just recommendations. Documents you can act on.
Use case shortlist
Ranked by impact, feasibility, and strategic fit
Feasibility notes
What's actually possible given your constraints
Data readiness
What data you have, need, and can get
Build vs buy
When to partner, buy, or build in-house
90-day roadmap
First projects with milestones and owners
Success metrics
How you'll know it's working
How We Choose
The criteria we use to evaluate and prioritize AI use cases.
Impact
How much does this move the needle on business goals?
Effort
What resources, time, and skills are required?
Risk
What can go wrong and how bad would it be?
Data availability
Do we have what we need or need to acquire it?
Time to value
How fast can we show results?
This is for you if...
Perfect fit
- Leadership has said 'we need AI' but nobody knows where to start
- You have multiple AI ideas and need to prioritize
- You've had failed AI experiments and need a structured approach
- You want to avoid vendor lock-in and make informed build/buy decisions
- You need to communicate AI plans to stakeholders clearly
- You're ready to move from exploration to execution
Not the best fit
- You want a deck to show investors with no intention to execute
- You need someone to build, not plan (see Implementation)
Concrete Outcomes
No vague promises. Here's what actually changes.
Prioritized Roadmap
A ranked list of use cases with clear reasoning, not a wishlist of everything AI could theoretically do.
Use case shortlist with scores, first project selected, team alignment
Clear Decision Framework
Know how to evaluate future AI opportunities without needing to call me every time.
Documented criteria, repeatable process, autonomous decision making
90-Day Action Plan
Specific next steps with owners, timelines, and success criteria. Ready to execute Monday.
Tasks assigned, milestones defined, resources allocated
How We Work Together
A clear, step-by-step approach so you know exactly what to expect.
Landscape Assessment
Understand your current state: existing AI efforts, data assets, technical capabilities, organizational readiness.
Current state assessment
Interviews with key stakeholders
Use Case Discovery
Generate and collect potential AI applications from across the organization. Cast a wide net.
Use case inventory (long list)
Workshop with cross-functional team
Prioritization
Score and rank use cases against criteria. Make the hard choices about what to do first.
Prioritized shortlist + scoring rationale
Leadership alignment session
Roadmap Development
Turn priorities into a concrete plan with timelines, dependencies, and resource requirements.
90-day roadmap + resource plan
Final review and commitment
Governance Setup
Define the rules: who can deploy what, how decisions get made, what needs sign-off.
Governance framework + policies
Policy approval from stakeholders
Ways to Work Together
Choose the engagement model that fits your needs and timeline.
Strategy Sprint
- Use case prioritization
- First project scoping
- 30-day action plan
- Decision framework
Quarter Plan
- Full landscape assessment
- Use case portfolio
- 90-day roadmap
- Governance framework
Strategy + Pilot
- Complete strategy package
- First pilot implemented
- Results documented
- Refined roadmap
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