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Pilot2Service

@pilot2service source repo

112 published skills · page 2 of 2

  1. Founding Team Design And Agreements · pilot2service
    Build a balanced founding team and agree the rules of engagement (Founders' Agreement) before disagreements arise.
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  2. Tiny Core Identification And Feature Freeze · pilot2service
    Isolates the one tiny interaction that is a product's actual superpower, stress-tests whether it's good enough to carry the product on its own, and enforces a 'no more features' veto until that core is obviously, unmistakably good. Use after an MVP direction is chosen and before or during scoping, as a discipline against the 'just one more feature' trap that AI-cheap building makes especially tempting.
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  3. Bmc Antipattern And Misunderstanding Correction · pilot2service
    Identifies five of the expert's own BMC-work antipatterns (e.g. too much content per block, too deep too early, canvas as a strategy document) and four of the most common client misunderstandings about the BMC's role, and offers direct corrective moves for each.
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  4. Ps Public Value Business Case Framing · pilot2service
    Reframes an AI business case around the four public-value types (efficiency, service quality, equity, trust/legitimacy) instead of defaulting to a private-sector ROI story, and shows how to combine cost-avoidance and non-financial value in one case a public decision body can act on. Use after opportunity screening, before or alongside building the full business case.
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  5. Closed Loop Process And Human Oversight Design · pilot2service
    Structures business processes as open or closed loops and decides the human's role (in-the-loop / on-the-loop / outside-the-loop) in each — a mental model for designing AI agents' areas of responsibility.
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  6. Industry Specific Commercialisation Playbook · pilot2service
    Tailor the commercialisation strategy and expectations by industry: life sciences, deep tech, software, societal/humanities-based innovations.
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  7. Ps Community And Equity Impact Assessment · pilot2service
    Checks an AI-enabled public service design for differential impact across community groups before launch: digital divide, accessibility, and disparate-treatment risk. Use before a public-facing AI service goes live, or when a proposal claims a general improvement and hasn't yet been checked group by group.
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  8. Ps AI Opportunity Screening For Public Value · pilot2service
    Screens a raw AI idea for public-sector fit before it enters formal opportunity scoring: checks mandate alignment, identifies which type of public value it targets, and runs the 'would this survive being on the front page' test. Use when a public-sector or non-profit client brings an AI idea and you need to know if it's worth taking to full scoring.
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  9. Ps Procurement And Public Funding Navigation · pilot2service
    Flags when an AI idea has crossed from 'just build it' into public-procurement or public-funding territory, and what that changes about timeline, vendor choice, and design freedom. Use when scoping or building an AI solution for a public body, before committing to a build-vs-buy path or a delivery timeline.
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  10. Ps Decision Readiness And Public Communication · pilot2service
    A six-element model for presenting an AI proposal so a public decision body (council, board, steering group) can actually approve it: options, relevancy and focus, trust, urgency, strategic alignment, and public-sector decision dynamics. Use when preparing to bring an AI initiative to a public decision-maker for a go/no-go or funding decision.
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  11. Ps Stakeholder And Political Landscape Mapping · pilot2service
    Extends power/interest stakeholder mapping with the actor types specific to public-sector projects (elected officials, civil servants, unions, oversight bodies, citizens) and their distinct veto points and time horizons. Use when scoping an AI initiative for a public body and 'who's the sponsor' isn't a single, simple answer.
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  12. Ps Regulatory And Ethical Guardrails For Public AI · pilot2service
    Frames the distinct regulatory and ethical stakes of public-facing AI - higher transparency and accountability bar, disparate-impact risk, due-process concerns when AI touches decisions about individuals - and identifies when a question needs real regulatory or legal expertise rather than general reasoning. Use early when scoping any AI system that will touch citizen-facing decisions or services.
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