You do not need to begin with a company-wide transformation plan. A useful first step is to identify one work task your team understands, then decide whether AI could help with part of it. Training becomes easier to plan when the goal is concrete.
The framework below is a suggested planning approach. Adapt it to your organisation’s needs, systems and policies.
1. Identify the work before choosing the tool
Ask employees which writing, planning or information-organising tasks take repeated effort. Look for a task where the team can recognise a good result and a reviewer can check the work.
For an initial exercise, you might choose drafting replies to fictional enquiries or turning sample notes into a checklist. Avoid beginning with decisions about people, payments or other consequential actions that require specialist judgement.
2. Understand the team’s starting point
Some employees may already use AI regularly; others may be unsure what a prompt is. Ask about their experience, confidence and current work processes. This helps you decide whether everyone needs the same introduction or whether different groups need different activities.
A simple pre-session question is: “What would you like help doing, and what would you need to check before using the result?” The answer reveals both a learning goal and a possible review requirement.
3. Agree on the boundaries
Before practising with business information, confirm approved tools and account arrangements, what information can be used and who reviews outputs. For the first exercise, use fictional or properly sanitised examples rather than real customer or employee records.
Training should reinforce the organisation’s existing rules. It should also explain that AI can produce inaccurate information and that people remain responsible for checking work before it is used.
4. Practise a complete task
An exercise is more useful when employees can see the full process: prepare an instruction, generate a draft, assess it and revise it.
For example, give a fictional reception team an enquiry about an unavailable appointment. Supply the approved service details and a rule that no alternative slot may be invented. Ask learners to draft a response, identify any assumptions and revise the wording. Discuss which parts required human judgement.
This connects the activity to a recognisable task without exposing a real customer’s information.
5. Review usefulness after the session
Agree on a small follow-up trial within normal work arrangements. Compare the usual process with the AI-assisted version, including the time spent checking and editing. Review accuracy, relevance and whether colleagues can repeat the process consistently.
Faster drafting is only useful if the final result meets the required standard. Record problems and decide whether to adjust the instructions, provide more practice or stop using AI for that task.
Prepare a clear training enquiry
When speaking to a provider, share the team’s roles, approximate group size, starting experience, target tasks and preferred timing. Explain any restrictions on accounts, devices or data use. Ask what practical work is included and which arrangements need to be confirmed.
Discuss your team’s learning needs
Future Institute welcomes enquiries about AI & Digital Business training. Tell us what your team wants to learn, and we will help you explore suitable course and group training options.
The five-step planning approach and fictional reception exercise are original editorial examples, not a confirmed Future Institute syllabus.
