Free AI Governance Blueprint

Build AI adoption your organisation can stand behind

12 questions across 6 strategic pillars. Get a free maturity report that shows where your AI governance stands today — and a clear blueprint for embedding it safely and responsibly across your organisation.

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For all seniority levels

Free blueprint report

6 strategic pillars covered

Leadership & Accountability

AI Policy & Principles

People & Culture

Process & Risk

Data & Ethics

Measurement & Review

Free — no credit card required. Results sent to your inbox.

AI Governance Blueprint

62% Embedding

Leadership

Developing

AI Policy

Foundation

People & Culture

Embedding

Process & Risk

Developing

Data & Ethics

Leading

Measurement

Foundation

Pillar 1

Leadership & Accountability

Does AI governance have a named owner at executive level? Is the leadership team engaged and actively setting the tone for responsible AI adoption?

For senior leaders, board members, and executive sponsors

Q1Who currently owns AI governance in your organisation — including accountability for how AI is adopted, used, and reviewed?

Nobody formally owns itAI tools are being used across the business but no one has formal accountability for governance

IT or a technical function has taken it on informallySomeone in IT or operations has picked it up but it is not a formal senior leadership responsibility

A senior leader has formal accountabilityAn executive or board member is named as the AI governance owner with clear responsibility and reporting

Q2Does your leadership team actively discuss AI adoption — including its risks, opportunities, and ethical implications — as part of regular business strategy?

Not yet — AI is not on the leadership agendaLeadership awareness of AI is low or limited to awareness of tools being used

Occasionally — it comes up but without structureAI is discussed reactively but there is no regular, structured leadership conversation about strategy or risk

Yes — AI is a regular strategic agenda itemLeadership reviews AI adoption, risk, and governance at a defined cadence as part of business strategy

Pillar 2

AI Policy & Principles

Is there a clear, published framework governing how AI is used in your organisation — covering acceptable use, ethical principles, and alignment to UK regulation?

For HR, legal, compliance leads and senior management

Q3Does your organisation have a published AI Acceptable Use Policy — setting out what AI tools staff may use, what data may be shared with them, and how outputs should be handled?

No policy existsStaff are using AI tools — including public tools like ChatGPT — without any published guidance or policy

A draft exists but hasn't been communicatedSomething has been written internally but it has not been shared with staff or formally adopted

Yes — published, communicated, and staff-awareA clear AI Acceptable Use Policy is published, all staff are aware of it, and it is reviewed at least annually

Q4Has your organisation defined and documented its AI principles — covering values such as transparency, fairness, human oversight, and accountability — aligned to DSIT and ICO guidance?

No principles definedWe have not formally documented what we stand for as an organisation in relation to AI

Some informal guidelines or values existThere is some internal thinking but it has not been formally documented or communicated as organisational principles

Yes — documented principles aligned to UK regulationAI principles are formally documented, communicated to staff, and referenced in policy and decision-making

Pillar 3

People & Culture

Are your people equipped, informed, and confident to use AI responsibly? Is there a culture where AI is adopted thoughtfully rather than chaotically?

For HR, People & Culture, and operations leads

Q5Are your staff equipped with structured training or guidance on using AI tools responsibly — covering what's permitted, what's not, and how to handle AI outputs professionally?

No — staff are on their ownAI tools are being used without any training, guidance, or awareness programme

Some communication has gone out — but no formal trainingAn email or announcement has been shared but there is no structured, repeatable training or onboarding

Yes — structured awareness and training programme in placeRegular, tracked training on AI responsible use is part of the organisation's learning and development programme

Q6Does your organisation have internal AI champions, advocates, or a working group helping people adopt AI confidently and in line with your values?

No — AI adoption is ad-hoc and uncoordinatedDifferent parts of the business are experimenting with AI independently with no shared direction

Informally — a few enthusiastic individuals but no structureSome people are leading the way but there is no formal network, recognition, or coordination

Yes — a formal AI champions network or working groupStructured programme with named champions across teams, regular meetings, and a link to leadership

Pillar 4

Process & Risk

When new AI tools or use cases emerge, is there a consistent, structured process for evaluating their suitability — and are humans kept appropriately in the loop?

For operations, risk, and IT / change leads

Q7Before a new AI tool is adopted or a new AI use case is deployed, is there a defined process for evaluating its risks, data implications, and suitability for your organisation?

No — tools are adopted without formal evaluationStaff or teams adopt AI tools independently without any centralised review or approval

Informally — some checking happens but no defined processLarger purchases or tools go through IT or procurement but there is no structured AI-specific risk review

Yes — a structured AI evaluation process is in placeNew AI tools and use cases are assessed against defined criteria: data risk, vendor compliance, ethical risk, and business benefit

Q8Where AI is used to support decisions — for example in hiring, customer service, finance, or operations — are there clear requirements for human oversight and review of AI outputs?

No — AI outputs are used without formal human review requirementsThere are no defined rules about when humans must review or override AI-assisted decisions

Partially — some areas have human review but it's inconsistentHuman oversight happens in some teams but is not a consistent, defined requirement across the organisation

Yes — clear human-in-the-loop requirements are defined and followedDocumented requirements for human review of AI outputs exist for all significant decision-support use cases

Pillar 5

Data & Ethics

Does your organisation understand what data is being used in AI — and has it considered the ethical implications, including fairness, bias, and transparency for those affected?

For data, legal, HR, and compliance leads

Q9Does your organisation have visibility over what data is being shared with AI tools — including whether personal data or sensitive business information is being sent to third-party AI providers?

No — data flows into AI tools without oversightWe do not have a clear picture of what data staff are sharing with AI tools or how it is being used

Partially — we have some visibility but not a complete pictureWe have considered this for some tools or teams but have not mapped AI data flows comprehensively

Yes — AI data flows are mapped and rules are in placeWe know what data goes where, have reviewed vendor data agreements, and have clear rules on what may be shared

Q10Has your organisation considered the ethical implications of how you use AI — including the risk of bias, whether the use of AI is transparent to customers or staff affected, and whether it is fair?

Not yet — ethics has not been formally consideredWe have not formally examined the potential for bias or unfairness in how we use AI

Informally — some discussion but no documented approachEthics has been raised in conversations but there is no documented approach or process for ethical review

Yes — ethical AI principles are documented and appliedWe have defined ethical principles for AI use, conduct ethics reviews for significant use cases, and are transparent about AI use with those affected

Pillar 6

Measurement & Review

How does your organisation know AI governance is working? Are there metrics, regular reviews, and an incident process — so governance evolves as AI evolves?

For senior leaders, operations, and compliance leads

Q11Does your organisation have any metrics or indicators to understand how AI is being used across the business — and whether it is delivering benefit responsibly?

No — no measurement in placeWe have no formal way of tracking AI usage, benefit, or risk across the organisation

Limited — anecdotal evidence but no formal metricsWe hear positive stories and see some benefit but have no structured measurement or reporting

Yes — defined metrics covering adoption, benefit, and responsible useKPIs or dashboards track AI adoption rates, business impact, and compliance indicators on a regular basis

Q12Is there a regular review process for your AI governance framework — including a way for staff to report concerns, an incident response process, and a plan to keep policy aligned with evolving UK regulation?

No review process existsOnce something is in place it stays unchanged — there is no cycle of review or improvement

Ad-hoc — reviews happen reactively when issues ariseWe look at governance when something goes wrong or when a new regulation is flagged — not proactively

Yes — structured annual review with incident reportingAI governance is reviewed at least annually, staff have a clear channel to raise concerns, and policy is kept current

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AI Governance Blueprint

Your AI Governance Blueprint

Maturity assessment across 6 strategic pillars

Your AI Governance Blueprint Roadmap

Priority Actions

Governance Sprint — Fixed Fee

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AI Acceptable Use Policy, ethical principles framework, staff guidance, and a review template — professionally written, UK-regulated, and ready to make your own.

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