AI TRAINING / WORKPLACE PRODUCTIVITY

AI productivity
for everyday work.

AI productivity training that connects clear instructions, useful source material and careful review with the writing and document tasks your team already does.

WHO THIS IS FOR

Teams with documents
to write, read and organise.

This topic is a useful starting point for administrative, HR, learning, operations and communication teams. The aim is to help participants make better use of AI within a defined task, while keeping responsibility for the final result.

Training can start with familiar work such as preparing an email, restructuring notes or planning a report. More experienced participants can explore how to turn a successful attempt into a repeatable workflow.

PRACTICAL TOPICS

From a request
to a reviewed result.

01

Writing and communication

Define the audience, purpose and tone. Use a clear brief to develop an email, outline or first draft, then edit for accuracy and relevance.

02

Working with information

Restructure suitable source material into summaries, action lists or comparison formats. Check what was included, omitted or introduced.

03

Repeatable workflows

Separate the task into inputs, instructions, output format and review steps. Keep a reusable prompt that still allows for human judgement.

EXAMPLE WORKSHOP ACTIVITY

Turn meeting notes
into a useful follow-up.

A sample exercise, adapted to the group’s experience and agreed tools.

  1. Read a fictional set of meeting notes and identify the decisions, owners and open questions.
  2. Ask AI to propose an action table using only the supplied information.
  3. Compare every action with the source. Mark missing information rather than allowing the model to invent it.
  4. Develop a concise follow-up email and refine its tone for the intended audience.
  5. Save the instructions and review checklist for a similar future task.

The learning is in the comparison and refinement, as much as in the first output.

WHAT TO WORK TOWARDS

A process your team
can explain and repeat.

Proposed learning outcomes include describing an appropriate AI use case, writing a more complete instruction, checking the result against source material and documenting a simple workflow.

AI can produce incomplete or incorrect information. Exercises include checking facts, removing unsupported claims and deciding when a task needs a different tool or a person’s specialist knowledge.

Use approved tools and anonymised examples. The preparation checklist helps you brief participants before the session.

Explore the training approach →

START WITH ONE TASK

What work would you
like to make easier?

Share the audience, a few everyday tasks and your learning goals. We can discuss the scope before agreeing a programme.