Practical AI at work

Use AI with purpose, context, and judgment

Practical AI at work helps you explore where AI can support everyday work without handing over responsibility for the result. The focus is on a repeatable workflow: define the task, provide useful context, review the response, improve it, and decide what is ready to use.

The program can be adapted for individual professionals or teams. Activities use fictional or approved, non-sensitive examples, and the final scope is agreed before participation.

Who this program is for

• Professionals exploring AI for writing, planning, organising information, or developing ideas.
• Teams that want a shared approach to reviewing AI-assisted work.
• Managers who want to discuss useful applications alongside practical limits.

No coding background is required for the introductory scope. Tool access, participant experience, and any required accounts are discussed before delivery.

What you will practise

• Choose a small, clearly defined task rather than an open-ended request.
• Write instructions with an audience, purpose, constraints, and output format.
• Ask for alternatives and use follow-up questions to improve a first response.
• Check accuracy, relevance, tone, and missing assumptions before using the output.
• Recognise when a task needs human expertise or should not use AI.

Suggested learning journey

1. Identify a useful work task

Compare possible use cases and select one bounded activity. Examples might include drafting a meeting agenda, organising anonymised notes, or exploring options for a fictional project.

2. Build a clear prompt

Turn a vague request into a short brief. Specify the context, expected result, audience, and constraints. Ask the tool to identify missing information rather than fill gaps with invented details.

3. Review and refine the output

Compare the response with the brief. Check factual claims against appropriate sources, challenge assumptions, and rewrite anything that does not fit your context. A fluent answer is not evidence that it is correct.

4. Define a responsible workflow

Agree which information can be entered, what requires review, and who approves the final work. Design a small experiment with a clear success criterion and a review point.

Practical outputs to work towards

Depending on the agreed scope, you can develop a reusable prompt structure, an output-review checklist, and a plan for testing one workflow. These are starting points for practice, not guaranteed time savings or a replacement for professional judgment.

Do not enter confidential business information, personal data, passwords, or client records into a tool without appropriate authorisation and approved safeguards. Follow your organisation's policies and the selected tool's terms. Availability and capabilities vary by tool; no particular subscription or product is promised by this page.

Arrange your program

Available on request, with no fixed public date or open-registration cohort announced here. Duration, delivery mode, language, facilitator, group size, fees, and any tool-access requirements are confirmed through enquiry before booking.

Use the enquiry button to share your role or team context, the work tasks you want to explore, and your preferred timing. Tibyan can then discuss an appropriate scope.

Before you enquire, explore “AI as a thinking partner” in the Insights section for a practical example of the review-and-refine approach.