Before you build more AI,
find out what's actually going wrong.
The AI Product Diagnostic is a focused, four-week engagement that diagnoses what's going sideways — in the product and in how the team is building it — and ends with a specific, opinionated plan for what to fix first.
Book a free intro callBuilt for B2B product teams mid-build — when something is already going sideways.
If your team has shipped AI features that aren't landing, has AI on the roadmap without a clear strategy, or is using AI tools without changing how decisions get made — this diagnostic was designed for you.
AI shipped but adoption is low — the team knows something is off but can't diagnose whether it's a product problem, a positioning problem, or both
AI is on the roadmap but nobody owns the strategy — tools are being chosen before the customer problem has been defined
The team uses AI tools but decisions haven't changed — roadmaps still run on gut feel, discovery still takes the same amount of time
Build vs. buy vs. partner is unresolved — evaluating vendors without a clear view of what problem you're solving or what good looks like
Sales is hiding the AI features in demos — reps can't articulate the value prop and prospects aren't converting because of it
Four weeks. A specific, opinionated read on your situation.
Not a framework applied from the outside. A diagnosis of what's broken, what's missing, and what to fix first — built on real evidence from your customers, your team, and your product.
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 engagement if you proceed.
Understanding what's actually going wrong — and why
Structured interviews with product, CS, and sales. An AI feature audit. A competitive scan. Customer research reviewed through a problem-first lens. On-site to hear how AI features are described and received in practice.
Building the plan 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 fix first, what to build next, and what to deprioritize — before anyone writes a spec or signs a vendor contract.
A clear view of what to do next — and a proposal for staying in the room
Everything needed to move from diagnosis to action — a prioritized view of what needs to change, a roadmap your team can plan against, and a retainer proposal built around the specific decisions stacking up in the next 90 days.
Every deliverable is immediately usable — not filed away after the readout.
The diagnostic ends with a complete package your product, sales, and CS teams can act on the same week.
Executive Summary
Two-page summary of diagnostic findings and strategic rationale — 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.
Retainer Proposal
A specific engagement structure built around the decisions that surfaced in the diagnostic — not a generic advisory menu.
The diagnostic is the entry point. The retainer is where the work continues.
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 — the vendor decisions, the spec tradeoffs, the launch stumbles. The diagnostic ends with a specific proposal for staying on as your ongoing AI Product Partner.
Three tiers, scoped to how deep the work goes: Advisory, Embedded, and Operational.
See the AI Product Partner retainer →Diagnostic clients receive preferred scheduling and onboarding within one week of diagnostic completion.