
In this introduction, we set the scene for everything that follows.
Most organisations using AI today do not have a governance framework in place. They have tools their teams use every day, software their suppliers have updated, and decisions being made with AI involvement, all without anyone having formally assessed, approved, or governed any of it. This course is designed to change that.
In this video you will learn what this course covers, who it is designed for, and what you will be able to do by the end of it. We introduce the AI governance framework, explain why building one matters now rather than later, and set out the practical, step-by-step approach this course takes.
In this introduction, we set the scene for everything that follows.
Most organisations using AI today do not have a governance framework in place. They have tools their teams use every day, software their suppliers have updated, and decisions being made with AI involvement, all without anyone having formally assessed, approved, or governed any of it. This course is designed to change that.
In this video you will learn what this course covers, who it is designed for, and what you will be able to do by the end of it. We introduce the AI governance framework, explain why building one matters now rather than later, and set out the practical, step-by-step approach this course takes.
What is AI Governance?
In this video we introduce the foundations of AI governance and explore the first two of four pillars that underpin the framework.
We cover Accountability, what it means to have named ownership of every AI decision and output, and why without it responsibility simply disappears when something goes wrong.
We talk about transparency, the obligation to be open about when and how AI is being used, both as a legal requirement in certain circumstances and as a professional standard in all others.
By the end of this video you will understand what these two pillars mean in practice and why both must be embedded into your governance framework from the outset.
In this video we cover the final two pillars of the AI governance framework.
We cover Compliance, what it means to meet your legal and regulatory obligations around AI use, why the landscape is changing rapidly across the UK, EU, and beyond, and why your governance framework needs to be built to adapt rather than fixed around today's rules.
And Ethics, the pillar that goes beyond what the law requires and asks what the right thing to do is. We look at how AI can produce unfair or biased outcomes without anyone intending it, and what organisations need to do to actively identify and address those risks.
By the end of this video you will understand the difference between compliance and ethics, why both are necessary, and how together the four pillars form the foundation of a governance framework that is legally sound, ethically grounded and built to last.
In this video we look at why AI governance is urgent and what is at stake for organisations that do not have a framework in place.
We cover the three categories of risk that AI introduces without governance. Legal risk, where failing to meet data protection and regulatory obligations can result in significant fines and enforcement action. Reputational risk, where biased or opaque AI outputs can seriously damage trust with customers, partners, and the public. And operational risk, where unvalidated AI outputs lead to poor decisions and downstream business harm.
By the end of this video you will understand exactly why AI governance is no longer optional, and why acting now matters more than waiting for the definitive rulebook.
In this video we build the governance structure your organisation needs to make the framework operational.
We cover the three levels of governance. The strategic level, where the Executive Sponsor, AI Governance Committee and more.
We introduce the concept of mandatory roles, the roles that must be assigned before the framework can be considered operational, and explain why naming individuals to those roles is the single most important step any organisation can take when building its governance structure.
We close with a simple but important point. A governance framework is only as strong as the people within it. Name the roles, assign the accountability, and the structure will hold.
By the end of this video you will know exactly which roles your organisation needs, which are mandatory, and how they work together to form a complete governance structure.
In this video we introduce the AI policy framework, the six rules that govern how AI is used within any organisation.
We explain that these rules are not guidelines or suggestions. They are the minimum standard of operation for every person who uses AI, regardless of their role or seniority. Each rule has a formal policy title and a plain language description so that everyone in the organisation understands not just what the rule is but why it exists.
By the end of this video you will have a clear understanding of the six rules, why each one exists and how together they form the policy foundation that every AI user in your organisation needs to follow.
In this video we cover the six categories of AI use that are strictly prohibited within any organisation operating under this governance framework.
We explain why every AI policy needs clear boundaries, not just rules about how AI should be used, but explicit statements about what it must never be used for. Vague prohibitions are easy to argue around. Specific ones are not.
It is important to note that the prohibitions set out in this section reflect best practice for responsible AI governance and are designed to protect organisations, individuals, and data. They are not universally mandated by law in every jurisdiction. Depending on the country or region in which your organisation operates, some of these prohibitions may be subject to different legal thresholds, regulatory requirements, or permitted exceptions. Organisations should review these prohibitions in the context of their own applicable legislation and seek appropriate legal advice where necessary. This framework is intended as a guide to good governance practice, not a substitute for jurisdiction-specific legal counsel.
By the end of this video you will have a clear understanding of the six prohibited uses, the risks each one addresses, and how to write this section of your AI policy in a way that is specific, enforceable, and defensible.
In this video we introduce the five documents that together form the complete AI governance framework.
We explain that the AI policy does not stand alone. A policy without supporting documents is incomplete. Each of the five documents serves a distinct purpose, and all five need to be in place for the framework to function properly.
We cover all five documents. The AI Policy, which is the master document setting out all governance requirements. The AI Tools Register, the authoritative record of every approved tool. The New AI Tools Request Form, the practical gateway through which every new tool must pass before use. The Data Analytics and AI Ethics Framework, which sets out the ethical principles governing all AI and data use. And the AI Governance Committee Terms of Reference, which defines how the oversight body operates and what authority it holds.
Please see the resource section for templates to get you started
In this video we address one of the most significant and most commonly overlooked gaps in AI governance. The absence of procurement from the conversation.
We explain why procurement is not peripheral to AI governance but central to it. Every AI tool in any organisation arrived through a purchasing decision. If procurement is not actively involved in governance, the controls written into policy will bear no relation to the tools being bought across the business.
We cover the four things procurement must do. Sit on the AI Governance Committee as a named, accountable member. See the resource section for material to help support procurement teams
In this video we address the part of procurement AI governance that most organisations have not considered at all. What is already in place.
Most governance conversations focus on new procurement. But the bigger exposure for many organisations sits in contracts that were signed one, two, or five years ago, before AI was on anyone's radar, and have since changed around them without anyone noticing.
We cover some areas procurement should monitor in existing supplier relationships.
By the end of this video you will have a clear, practical approach to identifying AI in existing contracts and the monitoring controls to catch changes before they create organisational exposure. Also, please see the resource section for a handy checklist.
In this video we bring everything together into a practical, structured plan for implementing your AI governance framework in 30 days.
We walk through the four weeks in detail. Please see the resource section for useful material to get you started.
You have reached the end of the course and you now have everything you need.
You understand what AI governance is and why it matters. You have the structure, the roles, the six rules, the five documents, and the 30-day plan to make it real in your organisation.
Before you close this course, do four things. Name your Executive Sponsor. Add procurement to your Governance Committee. Start your AI Tools Register. And schedule your first review for ninety days from now.
Those four actions this week are the difference between having watched a course and having started building something real.
AI governance done well is not a burden. It is the foundation that allows your organisation to use AI with confidence, clarity, and control. You know what good looks like. You have the tools to get there.
You can find the slides in the resource section.
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This course contains the use of artificial intelligence.
Is your organisation using AI without a governance framework in place?
Most are. AI is already embedded in the tools your teams use every day, the software your suppliers provide, and the decisions your business makes. The question is not whether you are using AI. The question is whether anyone is governing it.
Without governance, organisations face real and growing consequences. Regulatory fines under UK GDPR and the EU AI Act. Reputational damage from biased or opaque AI outputs. Purchasing decisions that bring unapproved AI into the business without anyone noticing. And a regulatory landscape that is tightening globally, with over 70 countries now developing AI-specific legislation.
This course gives you everything you need to fix that, in 30 days.
What you will learn:
The four pillars of effective AI governance: Accountability, Transparency, Compliance, and Ethics
How to structure your governance framework across three levels: Strategic, Operational, and Compliance
The mandatory roles every organisation must assign and what each one is responsible for
The six rules of AI use that apply to every person in your organisation regardless of role or seniority
The five documents that form the complete governance suite, and how to build each one
Who is this course for:
Governance, compliance, and risk professionals responsible for AI policy
Procurement and contract managers who need to identify and control AI in supplier relationships
Business owners, senior leaders, and operations managers building or reviewing their AI strategy
HR, legal, and finance professionals involved in AI oversight and decision-making
Anyone who has been handed the AI brief and needs a practical, structured starting point
No prior knowledge of AI governance is required. This course starts from the beginning and builds the complete framework step by step.