The Decision Layer™ · AI Policy Accelerator™

Give teams a clear yes, no, not yet or only if.

Turn AI policy into usable decision rights, approval routes, exceptions and evidence so people know what they can do, who can authorise it and what must be true before they move.

The governance challenge

A policy is not governance because Legal approved it.

It becomes governance when it changes what people may do, what requires approval, who accepts risk, how exceptions work and what evidence the organisation keeps.

Core transformation: Move from policy language people can ignore to an operating policy system that changes decisions at the difficult moment.

The transformation you buy
Before the accelerator
  • Principles are broad and difficult to apply.
  • Teams are unsure which AI uses require approval.
  • Decision rights and risk acceptance are ambiguous.
  • Supplier, exception and incident routes sit in different documents.
  • Evidence is created inconsistently after the decision.
After the accelerator
  • People know what is permitted, restricted and prohibited.
  • Risk classification determines the approval path.
  • Decision rights and escalation are explicit.
  • Exceptions, suppliers, incidents and changes follow usable workflows.
  • The organisation knows what evidence each decision should leave behind.
What the policy system connects

Principles

Translate AI values and commitments into practical operating rules.

Classification

Define how use cases are assessed and what level of governance follows.

Decision rights

Make approval, challenge, escalation and risk acceptance explicit.

Controls

Connect policy requirements to evidence, review and operating expectations.

Exceptions

Create a visible, accountable route for deviations and temporary risk acceptance.

Records

Leave behind the evidence needed to reconstruct consequential decisions.

How the accelerator moves
1 · ReviewAssess the current policy architecture, gaps and overlaps.
2 · DesignDefine classification, decision rights, workflows and evidence.
3 · DraftBuild the core policy, standards and supporting procedures.
4 · DecideResolve material governance choices with executives.
5 · LaunchPrepare communications, adoption and implementation priorities.
What you receive
Policy architectureA coherent hierarchy of policy, standards, procedures and records.
Core AI policyDecision-focused policy language aligned to the operating model.
Use-case intakeTemplates for intake, risk assessment and classification.
Approval workflowRACI, escalation, exception and risk-acceptance routes.
Evidence modelThe records and artefacts expected from material decisions.
Adoption planExecutive workshop, launch communications and implementation priorities.
Who it is for

For organisations where the current policy is missing, generic or difficult to use.

Legal

Turn legal and regulatory requirements into operational decision boundaries.

Compliance

Make obligations visible in approval, evidence and exception workflows.

Privacy

Connect data use, assessment and escalation to the AI operating model.

Security

Embed security expectations without turning every AI use into the same control burden.

Risk

Connect policy to risk classification, appetite and accountable acceptance.

Technology

Give delivery teams clear rules that support speed rather than late-stage surprise.

Scope & investment

Core

Core policy stack.

From £18,500

Regulated

Regulated policy and control suite.

From £28,500

Enterprise

Multi-entity rollout and implementation.

From £45,000

Start with the decision rights

Can your current policy answer “who may decide what?”

Bring the existing policy set, governance structure and the moments where teams keep asking for interpretation. The accelerator starts there.

Request a policy sprint Back to AI Services
AI Policy Accelerator™ · Give teams a clear decision boundary before ambiguity becomes delay. · thedecisionlayer.online