AI Training Needs Analysis: Who Needs What Training

An AI training needs analysis is the process of working out which people in your business need which AI skills, at what depth and in what order. Most SMEs skip it and book one session for the whole team. Our position is simple: train roles, not headcount.

The Office for National Statistics shows why it matters. Its July 2026 figures put the share of employees using AI for work or education at 55%, while only 11% of businesses with 10 or more employees had trained more than half their workforce. In our view, that describes staff running ahead of their employers.

Why an AI training needs assessment comes before any booking

Training bought without an assessment answers a question nobody asked. A prompting session suits the marketing executive who drafts emails all day. It wastes the finance lead's time and misses the director who must judge risk.

That mismatch explains why generic AI courses leave adoption flat and why Microsoft Copilot rollouts stall when licences arrive before a plan. A sound assessment answers three questions for each role: what must this person do with AI, what can they do today and what is the cheapest route between the two?

Is it not quicker to train everyone the same?

In a team of fifteen, putting everyone in one room is tempting. It works for safe-use basics. Above that tier the cost lands in hours instead of invoices, because daily AI users sit through the basics while the people who handle client data get no guidance on risk.

How to run an AI training needs analysis in five steps

This method needs a spreadsheet and a few focused conversations.

Step one: start your AI training needs analysis with tasks, not people

List the tasks each team repeats every week and mark the ones that are slow, repetitive or prone to error. Those tasks show where AI pays back first and therefore which skills matter most. Our AI workshop runs this with leadership, operations and finance in one room, using the Rose, Thorn, Bud method.

Step two: sort roles into three tiers

In our view, three tiers cover most SMEs.

Everyone. Every employee needs safe-use basics: which tools are approved, what data never enters a public AI system and how to check an output before it reaches a client. Free online courses can cover this awareness tier. AI policy training turns the rules into habit.

Heavy users. Sales, operations, marketing and finance roles carry the repeatable work, so they need applied skills such as structured prompting and output checking. A sales lead needs prospect summaries and a finance lead needs month-end commentary, while an accountancy practice and a construction firm will each define the tier differently. We explain that gap in AI literacy vs AI capability.

Leaders and champions. Directors need enough understanding to approve tools, judge risk and back the change. Champions keep standards current once formal training ends. Without them, team-level AI capability decays.

Step three: run an AI skills audit on real tasks

An AI skills audit shows what each person can do today. In our view, self-rating surveys mislead, because people score their own AI confidence too high or too low and neither score shows what they can do.

Give each role one real task instead, such as summarising a prospect, drafting report commentary or cleaning a data export. Watch three things: how the person sets up the task, whether they check the output and whether they respect your data rules. Score each on a three-point scale to create a baseline you can repeat.

Step four: match each gap to role-based AI training

Gaps differ, so the training should differ. A knowledge gap needs a short session and an application gap needs a workshop built on the person's own documents and tools. A habit gap needs managers who use AI visibly and a follow-up date in the diary.

This turns the audit into role-based AI training with the right content for each tier. Our AI training delivers each tier through Explain, Demonstrate, Imitate and Practice, using your own tools and documents.

Step five: set a measure and a review date

Pick one task per role, record how long it takes now and agree a target. Review the result after 90 days. Without that baseline you cannot show whether the training worked.

Repeat the analysis every six months, because tools change and new starters bring different skills. Keep the written output as a record of how you decided who needs what.

Where an AI training needs assessment fits in your plan

This guide suits readers at the Confused and Curious stages of our AI Confidence Journey, where training is a question rather than a plan. At Confused, take the free AI readiness assessment first for the business-level picture. At Curious, the workshop finds the tasks.

At Committed, an AI roadmap sequences the training against cost and return. At Capable, you run the training from your analysis.

Alistair Hayward-Wright, Managing Director of Hayward-Wright Accounts, said the assessment 'highlighted where we needed to put in some groundwork' before his team moved on to the workshop. A needs analysis lays the same groundwork for training. As independent advisers who do not sell software, we judge training by the task you named in step five instead of by course completions.

Frequently asked questions

What is an AI training needs analysis?

It is a structured check of which roles need which AI skills, what staff can do today and what training closes the gap. The output is a prioritised plan instead of a general course booking.

How do you run an AI skills audit?

Give each role one real work task and observe how people set it up, check the result and handle data. Score those three areas and record the baseline. Repeat the same task after training to see what changed.

Who in a business needs AI training?

Everyone needs safe-use basics. Heavy users in sales, operations, marketing and finance need applied skills, while leaders and champions need enough depth to steer and sustain the change. Your analysis shows which tier each person belongs in.

How long does an AI training needs analysis take?

For a team of around fifteen, plan on an afternoon to list tasks and sort roles, plus a short audit task for each role. Larger businesses should run it team by team.

Start with the AI readiness assessment

An AI training needs analysis turns a vague training budget into a plan that names who learns what and why. Run it before you book anything.

Not sure where your AI training needs analysis should start? Take our free AI readiness assessment: it takes two to three minutes, carries no obligation and gives you a readiness score with a personalised report.