Pilot2Service AI-Native Opportunity Scan
Purpose
Find areas within your own startup case where AI enables something genuinely new — not just speeding up existing work. This skill uses a two-stage prompt chain with an AI thinking partner: first identifying five opportunities enabled by agentic/closed-loop-level AI, then pressure-testing and prioritizing them by business potential, customer value, and feasibility — arriving at one opportunity that is carried into the next stages of design.
Based on
- The owner's AI-native Business Design workshop (the owner's own workshop), run 1–2 June 2026, Day 1 — Session 1 "The New AI Mindset" exercise and the core distinction preceding it: AI is not just a productivity tool that speeds up existing work — it's a new capability and capacity that enables products and workflows that were previously too slow, too costly, or impossible.
- See
../../references/workshop-source.md(source information) and../../references/prompt-library.md(prompts 1–2, the basis of this skill).
Method
- Make sure the AI thinking partner has your own business context available — a project (Claude/ChatGPT) with your pitch, business plan, customer notes, etc. loaded. Without this, findings stay generic ("automate customer service with an AI agent"-type suggestions).
- Run the discovery prompt (
../../references/prompt-library.md, prompt 1): ask the AI to identify 5 areas where AI would create GENUINELY NEW business opportunities — not "do X faster" but new features, products, workflows, or business models. Require agentic/closed-loop-level thinking rather than basic productivity use (see../closed-loop-process-and-human-oversight-design/SKILL.mdfor a more detailed distinction). - For each of the five findings, capture: a name, a description (2-3 sentences), why it's newly possible thanks to AI, and what would need to be true for us to do this.
- Write your own preliminary assessment before the pressure-test stage. This forces your own thinking before the AI's assessment — the workshop's principle: think for yourself first, don't let the AI assess on your behalf without your own view.
- Run the pressure-test/prioritization prompt
(
../../references/prompt-library.md, prompt 2): ask for an assessment of each of the five on: business potential, customer value, feasibility for a small team with current AI tools (low/medium/high), and the smallest version that could be prototyped this week. - Ask for a ranking of 1–5 with rationale, and a recommendation for which to prototype first.
- Choose one opportunity to carry forward — feed it into
../customer-vision-to-jtbd/SKILL.mdand../ai-buildable-prd-writing/SKILL.md.
Gotchas
- Running the discovery prompt without the AI thinking partner having your actual business context loaded (pitch, business plan, customer notes) produces generic "automate customer service with an AI agent"-type findings that only look like real opportunities — the method calls this out directly as the default failure mode.
- Skipping step 4 (writing your own preliminary assessment before the pressure-test prompt) silently defeats the point of that step: the workshop's principle is to think for yourself first, not let the AI's scoring become the only judgment in the room.
- The five findings from the discovery prompt can end up being
faster/cheaper versions of existing work rather than genuinely
agentic/closed-loop opportunities unless prompt 1's requirement is
enforced — cross-check candidates against
closed-loop-process-and-human-oversight-design/SKILL.md's open-loop vs. closed-loop distinction before treating them as valid. - Treating the AI's 1-5 ranking and "prototype first" recommendation as the answer rather than an input is the mistake the "does NOT do" section warns about explicitly — the human still has to make the final call.
- This is a lightweight, single-founder prompt chain, not the
systematic portfolio process for an existing company's broader AI
initiatives — reach for
ai-opportunity-portfolioinstead when the case is a running business with multiple candidate use cases, not a pre-startup idea.
What this skill does NOT do
- Does not make the choice for you — the scoring and ranking are an AI assessment, not the truth; the human makes the final choice.
- Does not replace the
ai-opportunity-portfolioskill (in theai-strategy-and-governancepack) — that one is meant for the systematic prioritization of an existing company's broader AI portfolio. This skill is a lighter, faster prompt chain for a single pre-startup founder to work through their own case. - Does not generate business ideas out of thin air without your own business context — quality depends directly on how well the AI knows the case.
Continue from here
- Next skill in this pack:
../customer-vision-to-jtbd/SKILL.md— deepens the chosen opportunity into customer understanding. - Related skill in this pack:
../closed-loop-process-and-human-oversight-design/SKILL.md— deepens the "agentic/closed-loop" lens, which in this skill is only used as an identification criterion. - Related skill in this pack:
../ai-native-conversational-os-design/SKILL.md— carries this skill's mindset shift forward into a concrete UI architecture (the "5 shifts": click>question, menus>prompts, dashboards>dialogue, manual actions>agents, screens>chat+cards). - Related skill in another pack:
../../../../ai-strategy-and-governance/skills/ai-opportunity-portfolio/SKILL.md - The pack's shared guardrails:
../../CLAUDE.md
References
../../references/prompt-library.md— prompts 1–2../../references/workshop-source.md— source information../../CLAUDE.md— the pack's shared guardrails