AI agents course for professionals in the UK

Wide, not yet deep

The ONS calls adoption to date "relatively shallow". The typical adopting business uses about 1.6 AI technologies, up only modestly since late 2023, and only one adopter in ten describes its use as extensive. For most organisations, AI is still something a person opens, not something that acts on their systems.

That gap, between trying AI and building it into a process, is exactly where agents sit, and the ONS figures suggest most organisations have not crossed it yet.

The number nobody publishes

The ONS does not count agents. Large language models, at 18%, are the closest category, but a business using a chatbot and one letting software act on its finance system both fall into it, so we do not relabel the figure.

The same article sets 55% of employees reporting AI use for work or education beside 35% of businesses, and explains the gap: the employee figure comes from a different survey, covers Great Britain rather than the whole UK, and can include informal use. Staff are often ahead of their employer's official systems.

Expertise is the gap

A lack of expertise is one of the barriers businesses cite most, reaching around 18% of firms with 100 to 249 employees. Cost holds back around 7% to 14% across size bands.

Employers train, not hire

Around 62% of businesses citing a lack of AI expertise train or retrain existing staff, against around 26% of those reporting no barriers. Recruiting new AI-skilled staff remains relatively uncommon.

Headcount, so far

Around half of businesses said AI had no impact on headcount. Reductions were most evident among medium-sized businesses, where just under 7% reported a decrease.

Five answers before connecting anything

The NCSC asks organisations to be clear about "who owns an agentic system, who approves its access, who monitors its behaviour, who reviews incidents, and ultimately who can stop it", and to settle this before the agent is connected to real systems or data.

On the course, those five answers sit at the top of every agent's documentation. An agent without them is unfinished, however impressive it looks in a meeting.

Consumers: the same principle

The CMA's paper Agentic AI and consumers, published on 9 March 2026, states that "businesses are responsible for how they engage with consumers, regardless of whether that is through people or AI systems".

It also observes that where businesses deploy agents today, "Consumer facing authority remains limited and escalation to humans is common." Handing over to a person is a sound design pattern, not a weakness to engineer away.