Pack 07

AI Governance Policy Pack

Make AI usage procurement-safe, auditable and controlled.

Adopt AI without losing control.

What gets installed

Productised workflow components

Each item below is delivered as a templated, governed workflow piece — not a bespoke build. Same QA gates apply regardless of which pack you start with.

Acceptable use policy
R/A/G data classification gates
DPIA triggers + disclosure statements
Approval gates + audit trail
AI contract schedules

What we need from you

To run a useful audit and deploy this pack

We don't need everything up-front — but the more of the below we can see early, the sharper the diagnostic and the faster the workflow lands.

  • Current AI / IT acceptable-use policy if any
  • List of AI services in use (sanctioned or otherwise)
  • Procurement / supplier code requirements you need to meet
  • One nominated governance sponsor (often legal / compliance)
  • Sample contract schedule template you'd want AI clauses inserted into

The pattern

What this pack solves and how it lands

Problem

Teams often know the issue exists, but lack a repeatable workflow, ownership model and reporting structure to control it.

Commercial impact

Unclear ownership and inconsistent evidence create rework, delay, margin pressure and governance risk.

Success criteria

Clear owners, consistent templates, visible status, QA checks and a repeatable reporting rhythm.

Governance controls

Evidence index, assumptions register, QA gates, client approval and professional boundary wording where required.

Outcomes

What "done" tends to look like

Every figure below carries a disclosure label per BuiltAI's governance approach. Actual findings depend on contract value, data quality and commercial-process maturity.

Target outcome

100%

Of AI invocations classified + logged

Target outcome

0

Red-classified data reaching any AI service

Typical

1

Procurement-ready disclosure schedule per client

How it works

Where this pack sits in the engagement model

01

Step 1Discovery

Operational Intelligence Audit — fixed-scope, four-week engagement with QA2 sign-off.

02

Step 2Deploy

Controlled workflow deployment — AI-assisted, QA-gated, client-approved before issue.

03

Step 3Embed

Ongoing governance rhythm — monthly board reports, RAG reviews, continuous improvement.

The foundation underneath every other workflow — usually deployed in Step 2 alongside the first pack.

Ready to scope this pack against your real data?

Book a discovery call. We'll confirm whether this pack, an audit, or a different starting point fits your operation.