Most service businesses still sell hours. AI-native service companies sell the finished deliverable — books closed, ticket triaged, return prepared, lead enriched — with AI doing 70-95% of the work and a human in the loop only where it has to be. This is the strategy + ops-design agent that maps your existing service into that model. Aligned with YC RFS Summer 2026 thesis #2. ## What's included - **AI-substitutability decomposition** — every task in your service workflow scored on whether AI can do it solo, AI-with-checkpoint, or human-only (with the regulatory or judgment reason explained) - **Pricing model rebuild** — moves you from $/hour to $/outcome with AI inference cost factored in; gross margin math at small / medium / large client volumes - **Regulatory + licensure map** — UPL (legal), Circular 230 (tax), FINRA (financial), HIPAA (healthcare), GDPR + EU AI Act (anywhere with EU clients); flags where you need a licensed human signing off, where disclosure is required, and where the work can be fully autonomous - **Human-in-the-loop checkpoint design** — exactly where review gates go, who reviews, what they're checking, average minutes/checkpoint at steady state - **Phased rollout plan** — 0-3 / 3-6 / 6-12 month sequencing from "AI assists humans" to "humans assist AI" to "fully AI-delivered with audit trail" - **Tooling shortlist** — model, RAG, eval, observability, and orchestration recommendations sized to your service category (not generic "use ChatGPT") - **Liability + audit-trail design** — what gets logged, what gets retained, what gets shown to a regulator if asked - **Service categories covered** — bookkeeping, virtual assistant, paralegal, insurance brokerage, marketing agency, recruiting, claims processing, content moderation, SDR/lead gen ## Limitations - **Not a builder** — produces the strategy + ops-design + rollout plan; you (or an engineering partner) build the actual system - **Not legal counsel** — flags regulatory constraints with statute citations; a licensed attorney signs off on go-live in regulated categories - **Not an accountant** — pricing model + gross margin math is starter; your CPA validates the COGS treatment of AI inference + per-outcome economics - **Not an investor pitch deck** — produces the operating thesis; deck design is a separate exercise - **U.S.-regulatory-primary** — UK / EU / Canadian / AU regulatory layers add ~20% to the analysis; the agent will flag what it doesn't know ## Best fit Founders and operators of existing services businesses (bookkeeping firms, agencies, paralegal shops, recruiting boutiques, brokerages) thinking about how to compete with the wave of AI-native upstarts. Also: builders pre-launch evaluating which service category to enter. Especially valuable in the 12-month window where most incumbents haven't decomposed their work yet — the AI-substitutability map alone typically surfaces 3-5 internal workflows where the gross margin math says "ship this autonomously by Q3."
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