19, October 2026

Suprise Fakude

Your employees have attended AI training. They can write better prompts and demonstrate new tools. But when management asks what has improved at work, can you show the results?

For South African employers investing in AI skills, a small workplace pilot can help answer that question. Choose one recurring task, measure how it is currently performed, then evaluate whether employees can use their new skills to improve it.

This guide explains how to measure AI training effectiveness over a 30-day workplace pilot. The evaluation period starts when employees are ready to apply the relevant skills; it is separate from the training programme’s duration.

Start with one task and a clear outcome

Choose a task that happens frequently enough to evaluate several times during the pilot. It should have a clear output that a manager can check.

Possible starting points include:

• • Marketing: drafting a weekly campaign performance summary from approved data.
  • Finance: preparing commentary on a checked monthly variance report.
  • HR: drafting answers to routine questions using approved policy documents.

Keep the scope manageable. For an initial pilot, use approved tools and non-sensitive or suitably anonymised information, with human review before outputs are used. Define success before starting. For example: “Reduce the time needed to prepare the weekly report while maintaining accuracy and manager approval.”

Record the baseline before introducing AI

A baseline shows how the task performs under the existing process. Record the time spent preparing, checking and correcting the work. Note the number of outputs completed, errors identified and whether the manager accepted the final result.

Use several comparable examples where possible. Comparing one unusually difficult manual task with one easy AI-assisted task could give a misleading impression.

Also record the employee’s starting ability. Can they complete the task independently? Do they understand how to verify the information? This helps distinguish improved skills from simply gaining access to a tool. For a broader approach to learning evaluation, see our guide to measuring training effectiveness.

Run the pilot over 30 days

Days 1–7: Set up and practise

Confirm the task, approved information sources, tools and review process. Ask employees to demonstrate the workflow and explain how they check its outputs.

Start with practice examples before using the workflow in routine work. Record setup and coaching time separately so the implementation effort remains visible.

Days 8–21: Apply the skills to comparable tasks

Employees can now use the agreed workflow under supervision.

Track each task using the same measures as the baseline. Include time spent correcting AI outputs and obtaining approval.

Hold a short weekly review. Where errors recur, establish whether the problem comes from missing skills, unclear instructions, unsuitable source information or limitations of the tool.

Days 22–30: Review results and decide what follows

Compare the results with the baseline and ask the manager to review a sample of completed work.

Check whether employees can explain their decisions, recognise unreliable outputs and repeat the process without excessive support.

Where practical, compare results with similar tasks completed using the previous method during the same period. Changes in workload, task difficulty or software may also influence performance.

Use this AI training pilot scorecard

Specify your preferred start period, available learning hours and delivery format. Explain any operational constraints, such as staff being unable to attend full-day sessions. Ask what happens between sessions. Will employees complete assignments, practise workplace tasks or receive facilitator support? What involvement is required from their managers? If industry-specific examples are important, ask whether the provider can adapt activities and whether this carries an additional cost.

Responsible use belongs alongside productivity in the evaluation. The NIST AI Risk Management Framework provides a broader reference for organisations considering trustworthiness and risks when using AI.

Calculate time saved after checking and corrections

Your employees have attended AI training. They can write better prompts and demonstrate new tools. But when management asks what has improved at work, can you show the results?

For South African employers investing in AI skills, a small workplace pilot can help answer that question. Choose one recurring task, measure how it is currently performed, then evaluate whether employees can use their new skills to improve it.

This guide explains how to measure AI training effectiveness over a 30-day workplace pilot. The evaluation period starts when employees are ready to apply the relevant skills; it is separate from the training programme’s duration.

Decide whether to expand, adjust or stop

At the end of the pilot, choose a next step based on the evidence:

• Expand when improvements are repeatable, quality meets the agreed standard and employees follow the required controls.

• Adjust when there is potential but employees need more practice, better information or a revised workflow.

• Pause or stop when corrections, risks or costs outweigh the benefits.

A 30-day pilot can provide early evidence. Longer-term outcomes, such as sustained adoption or customer impact, may need further evaluation.

Build AI skills around a workplace goal

iFundi’s Agentic AI programme focuses on designing and managing AI agents for business workflows, with practical applications across functions including marketing, finance, HR and analytics.

If you are considering AI training for employees, bring a specific workplace challenge to the discussion.

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