Three lines of work. Five ways to start.

Who it's for

Leadership teams that need alignment before they can move: everyone has an opinion about AI, nobody has a plan.

What you get

• Pre-read built from short interviews with each executive
• Live demonstrations on your own documents and data — not generic examples
• A ranked shortlist of opportunities and a first move agreed in the room
• Written summary within 48 hours

How it runs

1. Before — 20-minute calls with each leader; we collect real examples from your business.
2. The session — Half a day: where AI is already good enough, where it isn't, hands-on building, decisions.
3. After — A one-page summary and, if you want it, a scoped proposal for the next step.

Who it's for

Companies that know AI matters but don't know where it pays off — or have a long list of ideas and no way to rank them.

What you get

• AI baseline: how each team works today, what they've tried, what's blocking them
• Opportunity map: every candidate workflow scored on value, feasibility, and risk
• 90-day roadmap with sequencing, owners, and what to buy versus build
• Working prototype of the top opportunity, running on your real data
• Readout for the executive team and a written brief you can circulate

How it runs

1. Week 1 — Interviews with the people doing the work; we trace how it actually moves between systems.
2. Week 2 — Scoring and shortlisting. We prototype the top opportunity while you review the long list.
3. Week 3 — Prototype demo, roadmap, and readout. You decide what to build first with something you can click.

Who it's for

Teams with a clear, high-value workflow to automate — usually the one the Diagnostic surfaced — and the systems access to make it real.

What you get

• Production system deployed in your cloud or a dedicated environment
• Eval suite that defines what 'working' means, run on every change
• Human-approval gates on steps that touch money, customers, or records of truth
• Monitoring for accuracy, latency, and cost; a rollback plan
• Documentation, training for the owning team, and a clean handoff

How it runs

1. Weeks 1–2 — Scope lock, system access, eval set built from real cases, first end-to-end slice.
2. Weeks 3–4 — Full build. Weekly demos on real data; you see accuracy numbers, not promises.
3. Weeks 5–6 — Hardening, gates, monitoring, docs, training. Go-live with a supervised ramp.

Who it's for

Companies past their first system that want AI to keep compounding without hiring a full team yet — and want one person accountable for it.

What you get

• Roadmap ownership and a weekly shipping cadence
• Model, vendor, and architecture decisions with written rationale
• Ongoing tuning of systems in production; monthly accuracy and cost reviews
• Hiring support: job specs, interviews, onboarding of your first AI hires

How it runs

1. Month 1 — Take ownership of the roadmap and the systems already live. Set the operating rhythm.
2. Ongoing — Weekly ship, monthly review with leadership, quarterly reset of priorities.
3. Exit — We plan our own replacement: your hires or your champions take over with full context.

Who it's for

Companies where usage is stuck at a few enthusiasts, or where leadership wants everyone fluent before investing in bigger systems.

What you get

• Workshops built on your actual documents, data, and workflows
• Agent and Claude Code workshops for technical and semi-technical teams
• AI champions program: selection, curriculum, weekly office hours, and a showcase
• A shared playbook of what works in your company, maintained by your champions

How it runs

1. Before — We collect real examples from each team so nothing in the room is hypothetical.
2. During — Short teaching, long building. Every person leaves with something they use the next day.
3. After — Office hours and a champions cohort keep the momentum without us in the room.