Overview
What this playbook does
This playbook gives a culture and tourism team a single, repeatable way to move an AI idea from a hallway conversation to a documented decision. It replaces the common pattern (a few enthusiastic people building tools in isolation) with a lightweight pipeline that anyone can submit into and that a small board reviews on a fixed cadence.
The pipeline has five stages:
- Intake: capture the idea in a consistent form so ideas can be compared fairly.
- Triage: a quick screen to reject non-starters and route the rest.
- Scoring: rate each surviving idea against a shared rubric (value, feasibility, risk, readiness).
- Safe pilot: run the top-ranked ideas as small, time-boxed, low-blast-radius experiments.
- Go / No-Go: decide to scale, iterate, park, or stop, with the reasoning written down.
Who this is for
| Audience | Why they use it |
|---|---|
| The AI champion (owner of this process) | To run the intake board and keep the pipeline moving |
| Team members across culture, heritage, tourism, and destination functions | To submit ideas and see where they stand |
| Line managers and the entity's data or IT function | To review feasibility, risk, and readiness |
| Legal, records, and information-security reviewers | To gate anything touching personal data, public-facing content, or heritage records |
The outcome
At steady state you get: a visible backlog of scored ideas, a defensible ranking, a handful of running pilots with clear success measures, and a decision log that shows why each idea was scaled or stopped. This is what lets a public-sector team adopt AI deliberately and be able to explain its choices to leadership and to the public it serves.
This is a process playbook, not a technology recommendation. It is deliberately tool-agnostic: it works whether a pilot is built on a hosted assistant, an internal model, or a vendor product. Replace every <PLACEHOLDER> with your own team's real value before you use it.