Build AI your customers will actually use.
The AI Product Sprint combines rigorous diagnosis with collaborative design — starting with the customer problems your AI is meant to solve, not with a technology recommendation or a competitor's feature list.
Discovery & Scoping
60-min call · intake questionnaire · statement of work
Customer & Product Diagnosis
Stakeholder interviews · AI feature audit · competitive AI scan · on-site visit
Collaborative AI Opportunity Design
Half-day working session · pain-to-opportunity mapping · build vs. buy evaluation
GTM Narrative, Roadmap & Handoff
AI narrative · sequenced roadmap · sales & CS enablement · live readout
Built for product teams who want AI that earns its place.
If your organization has shipped AI features that aren't landing, has AI on the roadmap without a customer-problem-first strategy behind it, or is preparing to launch a product where AI is part of the value proposition — this engagement was designed for you.
AI shipped but adoption is low — the team knows something is off but can't diagnose whether it's a positioning problem, a product problem, or both
AI is on the roadmap but nobody owns the strategy — the CTO picks tools, the CPO writes specs, and nobody has asked which customer pain points AI is meant to solve
Sales is hiding the AI in demos — reps can't articulate the AI value prop and prospects aren't buying because of it
A competitor launched an AI feature — someone asked why you aren't doing the same thing, without asking whether it's the right thing
Build vs. buy vs. partner is unresolved — evaluating AI vendors without a clear view of what problem you're solving or what 'good' looks like
One sprint. Four weeks. An AI strategy built to survive contact with customers.
The sprint combines rigorous diagnosis with collaborative design — ending with a complete GTM-ready AI narrative and implementation roadmap your product, sales, and CS teams all understand and can use.
Defining the AI context before we start
A paid scoping session to establish what's been built, what's planned, and what the team is trying to achieve. Fee credited toward the sprint if you proceed.
Understanding what customers actually experience
Structured interviews, an AI feature audit, and an on-site visit to hear how AI features are described and received in practice. Findings validated at the midpoint before moving to design.
Building the AI strategy with your team — not for them
A structured half-day working session using the diagnostic findings as the foundation. The team leaves aligned on what to build, why, and in what order — before anyone writes a spec or evaluates a vendor.
A strategy your whole team can execute and explain
Everything needed to take your AI to market credibly — a narrative grounded in customer problems, a roadmap your engineers can plan against, and enablement your sales and CS teams can use immediately.
This is where the engagement becomes yours, not mine.
Week 3's collaborative design session isn't a presentation of findings — it's a working session with your product, CS, and sales team. The diagnostic is the input. The output is a strategy your team built alongside me, using their own knowledge of the product and the customer. That's what makes it executable.
Strategy, narrative, and roadmap — in one complete package.
Every deliverable is designed to be immediately usable by your product, sales, and CS teams — not filed away after the readout.
Executive Summary
Two-page summary of diagnostic findings, strategic rationale, and AI opportunity prioritization — built for board and investor communication.
Customer Pain-to-AI Opportunity Map
Real customer friction points mapped to realistic AI interventions, evaluated for business impact and technical feasibility.
AI Feature Audit with Gap Analysis
What's been built, what's working, what isn't, and where the gap between product intent and customer reality lives.
Build vs. Buy vs. Partner Evaluation
For each prioritized opportunity — the right approach, relevant vendors or APIs, and the tradeoffs the team needs to own before committing.
GTM-Ready AI Narrative
How to talk about your AI to customers, prospects, and the market — grounded in the problems it actually solves, not the features it contains.
Sequenced Implementation Roadmap
What to build first, what to build next, and what success looks like at each stage — with enough detail for your engineering team to plan against.
The sprint gives you the strategy. The retainer turns it into results.
Most AI product initiatives stall not because the strategy was wrong, but because no one with the right experience stays in the room through the hard parts. After the sprint, you can continue working through one of three advisory tracks.
Advisory through active development
Vendor and API evaluation as options emerge, feature scoping from a customer-outcome-first lens, build vs. buy decision support as engineering constraints surface.
GTM execution support through launch
AI messaging QA, sales and CS coaching on the AI value proposition, early customer feedback synthesis, and positioning refinement through the launch window.
Post-launch iteration and optimization
Usage data review, AI feature adoption analysis, roadmap refinement based on what customers are actually doing, and competitive monitoring as the market moves.
All advisory tracks: $6,000–$8,000 per month. Minimum 3-month commitment. Sprint clients receive preferred scheduling and onboarding within one week of sprint completion.
Priced for your organization's size and AI complexity.
Fixed-fee engagement — no hourly billing, no scope creep surprises. Pricing reflects company size and the complexity of what has already been built or is being planned.
Fewer stakeholders, tighter roadmap scope — right-sized for smaller teams with a focused AI challenge.
Multiple product lines, broader competitive context, and a more complex AI opportunity landscape to map and prioritize.
More stakeholders, board-level AI narrative required, and urgency typically externally imposed by investors or competitive pressure.
50% due at contract signing. 50% due upon delivery of final deliverables. Scoping fee credited toward the engagement if you proceed. Also available as part of The Full Foundation — an 8-week integrated engagement combining both sprints. Ask about bundled pricing.