This is a government-approved apprenticeship unit (AU0010), carrying £750 of public funding per learner. Smaller employers pay nothing, and levy payers fund it from their Growth and Skills Levy account - so for eligible UK employees there is no cost to the learner.
Delivered in partnership with Working Knowledge as apprenticeship provider. View AU0010 on the Skills England register
Name the problem properly
Every governance failure starts with a problem no one named clearly enough to act on. You'll build the case for the problem you choose: where AI is already in use, what 'good' looks like, and how it ties to your risk appetite - so you'll know when you've actually solved it.
Example outcomes you can expect:
Evaluate what is actually being used
Most governance problems are procurement problems in disguise. You'll apply a structured framework - cost, performance, risk, data readiness, lock-in, sustainability - to the tools at the heart of your problem, and see what they really cost to run at scale, not just the licence price.
Example outcomes you can expect:
Classify the risk, don't just feel it
You'll classify risk systematically, not by instinct - technical, ethical, legal, operational, reputational and workforce. The human risks (jobs, trust, morale) sit alongside the technical ones, not apart from them - so you end with a register you could defend to a board.
Example outcomes you can expect:
Build the operating model
You'll design a governance model that survives contact with reality, not a policy no one reads: who decides, who's accountable when it goes wrong, and what escalates to whom - the plumbing that makes governance real rather than aspirational.
Example outcomes you can expect:
Build in the guardrails, don't bolt them on
You'll work through the regulatory and ethical landscape - the UK assurance regime, the EU AI Act, ICO guidance, sector codes - and build ethics-by-design decision points into your model, not a compliance appendix at the end. AI plays devil's advocate against your own design.
Example outcomes you can expect:
Prove it works, not just that it exists
You'll build the assurance toolkit - documentation, transparency, monitoring, human-in-the-loop safeguards - that lets your model run day to day and stand up to scrutiny from a regulator, a journalist or your board. Governance becomes a living system, not paperwork.
Example outcomes you can expect: