A clear AI roadmap. Not a deck of buzzwords.
For product and engineering leaders overwhelmed by AI options. We audit your current state, benchmark against your competitive set, and produce a prioritized 12-month AI roadmap with build/buy/partner recommendations and the business case for each.
Most AI strategy work produces presentations. We produce decisions.
AI strategy consulting tends to deliver one of two things: a slide deck full of frameworks and buzzwords that collects dust, or an overwhelming backlog of every AI feature imaginable with no prioritization. We do neither.
Our engagements produce three outputs: a written audit of your current AI capabilities against your competitors, a ranked list of AI investments with the expected ROI and the confidence level for each estimate, and build/buy/partner recommendations for the top five priorities. Everything is written to survive a board question, not to fill a slide template.
We work with your existing engineering and product teams — we don't write strategy that requires us to execute it. If you want to build after, we can. But the strategy is useful on its own, and we design it to be acted on by your team.
What we deliver.
AI capability audit
A written assessment of your current AI use, data infrastructure, ML expertise, and technical debt — benchmarked against your nearest competitors.
Competitive intelligence
A structured analysis of what your top 5–10 competitors are shipping in AI, how it's affecting retention and acquisition, and where the gaps are.
Prioritized AI roadmap
A 12-month roadmap of AI investments, ranked by expected ROI, strategic moat value, and implementation risk — with clear build/buy/partner recommendations.
Build vs. buy analysis
For each priority, a written analysis of building custom vs. using third-party tools, including total cost of ownership, lock-in risk, and time to value.
Data readiness assessment
An audit of your data infrastructure against the requirements for your top AI priorities — gaps identified and remediation paths documented.
Implementation brief
For each top priority, a one-page implementation brief your engineering team can use to scope the work: problem definition, proposed approach, success metrics, and open questions.
How we run it.
Discovery
1–2 weeks of structured interviews with product, engineering, data, and executive stakeholders. We map current AI use, data infrastructure, team capabilities, and the business problems you most want AI to solve.
Competitive analysis
We research your competitive set's AI capabilities using public sources, user interviews, product teardowns, and job postings. We produce a written intelligence brief.
Opportunity mapping
We map AI opportunities to your business model — identifying where AI can create revenue, reduce cost, increase retention, or build a defensible moat.
Prioritization
We score each opportunity by expected impact, implementation feasibility, data readiness, and time to value. We pressure-test rankings with your team and resolve disagreements in writing.
Roadmap delivery
We deliver the full written package: audit, competitive brief, ranked roadmap, build/buy analysis, and implementation briefs. We present to your leadership team and answer hard questions.
Frequently asked.
5 questions answered. Still have one? Reach out.
We're practitioners, not management consultants. Every person who works on your engagement has shipped AI systems in production. The output is written for engineers and product leaders, not boards and investors — it's meant to be acted on, not filed.