Good Security

Service

AI Governance Programme

Put guardrails around AI use so the business can adopt it faster, explain it better, and avoid unmanaged privacy, quality, or accountability risk.

Usually starts in Assurance
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Typical deliverable

AI System Inventory

Detailed register of AI systems and tools in use across your organisation, including shadow adoption, with risk classifications and governance requirements.

AI System Inventory

Detailed register of AI systems and tools in use across your organisation, including shadow adoption, with risk classifications and governance requirements.

AI Risk Assessment

Structured risk assessment for each identified AI use case, evaluating risks across fairness, transparency, accountability, privacy, and safety dimensions.

In practice

The governance output sets out the AI systems in use, the risk class attached to each one, the controls or approvals required, and the policies and oversight expectations leadership can use to manage the programme.

The pressure

AI use is already happening or being proposed, but ownership, risk controls, and governance are still unclear.

You get an AI governance view the business can use to make decisions, set ownership, and reduce policy drift around AI use.

AI use becomes risky when nobody can say where it is being used, what data it touches, or who owns the decisions around it. It gives the business a practical governance programme for current and planned AI use before customer, regulator, or leadership questions arrive.

Good Security identifies the AI use cases already in play, assesses the business and privacy risk around them, and builds the policies, oversight, and operating rules needed for responsible adoption.

What you leave with

What you walk away with.

These are the deliverables and working records the team should be able to use once the work is complete.

AI System Inventory

Detailed register of AI systems and tools in use across your organisation, including shadow adoption, with risk classifications and governance requirements.

AI Risk Assessment

Structured risk assessment for each identified AI use case, evaluating risks across fairness, transparency, accountability, privacy, and safety dimensions.

AI Governance Policy Suite

Tailored policies covering acceptable AI use, risk management, data governance for AI systems, transparency requirements, and human oversight provisions.

ISO 42001 Alignment Report

Gap analysis and roadmap for achieving alignment with ISO 42001 requirements, with prioritised implementation plan.

Ongoing Programme Management (Leadership)

Quarterly reviews of your AI governance programme, policy updates for regulatory changes, and advisory support for new AI adoption decisions.

What that looks like in practice

The governance output sets out the AI systems in use, the risk class attached to each one, the controls or approvals required, and the policies and oversight expectations leadership can use to manage the programme.

What should be easier after this lands

What should be easier after this.

These are the outcomes owners, managers, or leaders should notice after the deliverable starts being used.

  • AI use is visible enough for leadership to govern instead of discovering it ad hoc.
  • Approval, oversight, and accountability become clearer around higher-risk use cases.
  • Customer and regulator trust is easier to support because there is a documented governance position.
  • Future AI adoption can move faster because the guardrails are already defined.

What this service is designed to do

  • AI governance programme
  • ownership and control structure
  • decision-ready governance view

How the work moves

How the work gets done.

You should know what happens first, what gets reviewed, and what lands with the business at the end.

1

Discover current AI use

We identify the AI tools and use cases already operating across the business, including shadow adoption.

2

Assess the risk profile

Good Security reviews each use case for privacy, fairness, quality, safety, and accountability concerns.

3

Build the governance framework

We turn that risk view into policies, oversight rules, and decision paths the business can actually use.

4

Support rollout and review

You receive the framework plus the guidance needed to apply it as AI use grows.

FAQ

Common questions.

These answers are here to make the next decision easier, not to hide the real scope.

When does AI Governance Programme make sense? +

AI use is already happening or being proposed, but ownership, risk controls, and governance are still unclear. Use this when AI use is real and governance needs to catch up, keeping the promise to governance structure rather than certification by implication.

What changes after AI Governance Programme is delivered? +

You get an AI governance view the business can use to make decisions, set ownership, and reduce policy drift around AI use.

What often comes next

What usually comes next.

These services are often paired with this engagement when the business needs a broader operating model, more evidence, or stronger follow-through.

Governance & Strategy

Policy Suite & Lifecycle Management

Put the policies the business actually needs in place, keep them current, and stop policy work turning into an annual scramble.

Compliance & Audit Defence

Multi-Standard Compliance Mapping

Reduce duplicate compliance work by showing where one control satisfies multiple frameworks, customers, or audit demands.

Need to turn this into a practical next step?

We will help you decide whether this is the right engagement, what the business should expect to receive, and where it fits in the wider programme.

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