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Mapping Capabilities to Sprint Offers

The sellable catalog: seven sprints + the umbrella retainer.

AI-Native Operator's Field Manual · Expert · 7 min read · 5 quiz questions

By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026

What you will learn

  • Sprint 0 — the wedge
  • Sprints 1–6 shape
  • The OS Operations umbrella

Lesson preview

The sprint catalog is seven fixed-scope, fixed-price engagements, each 2–4 weeks, each ending with a working system, a skills package, a runbook, and a review-loop cadence. Sprint 0 (AI OS Audit) is the wedge — cheap, fast, diagnostic, and it writes the SOW for everything below it. Sprint 1 (Revenue Data Foundation) delivers the fastest visible ROI. Sprints 2–6 cover Outbound, Paid Media, Content, GEO, and Research & Intelligence. After the sprints comes the OS Operations umbrella retainer — review loops, eval maintenance, model/stack upgrades, quarterly MCP audits, skill library evolution. Sprints are the acquisition vehicle. The retainer is where the margin lives. Sprint 0 is the AI OS Audit. It's your cheapest, fastest engagement — and the one that earns the right to sell everything else. What it covers: a workflow inventory, an AI-nativeness score (using the ladder from Module 1), a context-debt assessment (Module 16), an MCP-readiness check of the existing stack, a permission-risk review of anything already automated, and a prioritized roadmap with effort/impact ratings. Deliverables: an audit document, workflow maps, and a 90-day plan. Why it wins: it's diagnostic, not prescriptive. It gathers real data about the client's situation before any build begins. And it writes the SOW for every sprint below it. Skipping it is the workshop-brainstorm failure mode — you build what you guessed the client needed.

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Frequently asked questions

Who is "Mapping Capabilities to Sprint Offers" for?
This Expert module in AI-Native Operator's Field Manual is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 7 minutes and ends with a 5-question quiz.
Do I need to code?
Not necessarily. The workflows use operator tools such as Claude, n8n and Lovable; some exercises are easier if you are comfortable editing a config file or prompt template.
What comes before and after this module?
Before "Mapping Capabilities to Sprint Offers", take "Building Products Fast" (module 19 of AI-Native Operator's Field Manual). Afterwards, continue with "Demonstrable Proof".

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