Engagement
AI Strategy Sprint
A structured 2-week sprint to define your production AI roadmap.
Your organization is evaluating AI for operational workflows and you're not sure where to start, what to prioritize, or how to evaluate vendors and internal builds. The AI Strategy Sprint is a structured process to get to a concrete, defensible answer — not a deck of opportunities, but a scoped roadmap with evaluation criteria and a clear first project.
This is for you if
- Executive sponsors (CRO, CCO, CFO, VP Engineering) evaluating AI investment in regulated workflows
- Organizations with multiple competing AI use case proposals that need a principled prioritization framework
- Teams that have seen AI demos from vendors and need an independent assessment framework
- Organizations that tried an AI project that didn't reach production and want to understand why
What you get
Current-state workflow audit: which processes are candidates for AI automation and why
Opportunity scoring: each candidate ranked by automation potential, data readiness, and compliance risk
Build vs. buy analysis: for the top 2–3 candidates, a structured framework for evaluating vendor solutions vs. internal builds
First project specification: a fully scoped first project with success criteria, evaluation methodology, and risk inventory
Governance framework outline: model risk management approach, human-in-the-loop requirements, and audit trail specification
Timeline
2 weeks. Requires 3–4 hours of stakeholder interviews.
Engagement type
Strategy engagement. Remote. Structured interviews + async document review.
Pricing
Fixed-fee sprint. Pricing on the discovery call.
The outcome
A concrete AI roadmap your executive team can act on, with the first project scoped, success criteria defined, and a governance framework that satisfies your compliance requirements.
20-minute call. No commitment. I'll tell you plainly if this engagement is the right fit.