A corporate AI programme needs to specify the work participants should be able to perform afterwards. Attendance and tool familiarity cannot establish whether employees can check and use an AI-assisted output.
L&D must assess a workshop on AI-assisted reporting. One proposed exercise asks participants to reproduce a prompt. Another gives them a draft containing an unsupported claim and asks them to check, revise and explain it. Which provides evidence for the manager's review?
The second exercise makes the participant's review visible. The manager can inspect the source check, the correction and the explanation of why the draft changed.
Reproducing a prompt establishes that someone can repeat an instruction. It does not show whether they can detect an error in the resulting work. Programme evaluation should match the capability the organisation expects employees to use.
Choose the capability the business needs, then design an exercise that demonstrates it. Use the organisation's work samples, approved tools and review criteria. Include a manager who can assess the output and follow up on attempts made after the programme.
Specify duration, delivery mode, cohort size, participant roles and expected outputs. Those details allow L&D and procurement to assess the programme.
Choose examples from the relevant function and the work the business intends to change.
Decide whether the programme needs to develop basic AI literacy, use-case selection, output review or a defined workflow change. Each requires different exercises and follow-up work.
Participants should practise the work they are expected to perform after the programme, with relevant context and review criteria.
Managers help define authorised tasks, approval requirements and the quality of acceptable outputs. They need review routines and examples they can reuse with their teams.
After the programme, review the work attempted and the corrections required before extending its use.
L&D, HR and procurement need a clear format, audience, duration and expected work. Managers need to know which workflows participants will examine and what they will review after the programme.
The work can be designed as a keynote, half-day workshop, full-day workshop, multi-session cohort, B-school executive programme, or adoption sprint depending on the audience and outcome.
Yes. Customisation should cover business function, participant seniority, examples, risks, delivery mode, and adoption metrics.
A generic course teaches general content. Corporate AI training should translate GenAI into the organisation's workflows, teams, decisions, and adoption plan.
