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AI/Playbook/public-community
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// Playbook · public-community

Public-sector, community & charity

AI in this space lives or dies on data-protection posture and budget reality. The wins are admin-reduction, accessibility, and turning unstructured constituent input into actionable structured data.

// Starter projects · sequenced

Sequenced. Sized. Honest.

From a confidence-building first step to a transformative bet.

FIRST STEP£2–4 weeks

Plain-English search over your own documents

// What
Index your existing PDFs / policies / minutes; let constituents and staff ask questions in plain English with cited sources.

// Why
Cuts call/email volume on the same questions answered already.

MOMENTUM££4–6 weeks

Correspondence triage + draft replies

// What
Categorise incoming email/forms; draft polite first-pass replies for staff to approve.

// Why
Restores human review while removing the typing.

TRANSFORMATIVE£££8–12 weeks

Reporting automation

// What
Quarterly funder/board reports auto-assembled from operational data + narrative templates, with humans signing off.

// Why
Reclaims 1–3 weeks per reporting cycle.

// Risks worth flagging
  • Cloud LLM use without a clear data-protection assessment is a non-starter for many public bodies. Plan for self-hosted or on-shore options.
  • AI replies sent without human approval will, eventually, send the wrong reply to the wrong person. Don't.
// Watch out for in pitches
  • Watch out for vendor lock-in via 'AI assistant' SaaS that holds your indexed documents hostage.
// The honest take
Public-sector AI projects succeed when they free up staff time to do more human work, not when they replace human work. Frame accordingly.