Pick first use cases that earn trust

When you finish, you can choose two or three safe starting points for your team.

Start small and useful

Leaders often feel pressure to do something big with AI. A better start is small, safe and useful. Early wins build confidence. Early disasters build fear. Choose tasks where a mistake is easy to catch and cheap to fix.

Good first tasks are drafting, summarizing, rewording, organizing notes and brainstorming. They save time and a person reviews every output.

A simple filter

Rate each possible task with three questions. Is private or sensitive data involved? Could a mistake hurt someone? Does the output go out without a human check? Tasks with three no answers are good first choices. Tasks with any yes need more care or a different approach.

Weak first project: using AI to decide who gets a promotion. Strong first project: using AI to draft meeting summaries from notes that contain no personal data, then checking them.

Ask the team

The people doing the work know where time is lost. Ask each person for one task they dislike or repeat often. Collect the list and sort it with your filter. When staff choose the pilot, they feel ownership instead of pressure.

Pick two or three tasks, not ten. Give each a named owner, a time frame, and a way to check whether it helped.

A worked example

Fatima manages a customer service team in Karachi. Her team lists: rewriting standard replies in a friendlier tone, summarizing long email threads, and drafting answers to common questions. None of these require private data if names are removed.

She picks two. After a month the team says the thread summaries help most. They keep that one, adjust the replies, and decide not to use AI for refund decisions, which need human judgment.

Practice now

List ten tasks your team does weekly. Rate each by the three-question filter and pick two to test.
Ask your team: what is one task you wish you could do faster? Collect the answers in a shared note.

Use any AI assistant you have. Do not paste private, client or patient information into it.

Check yourself

1. What makes a good first AI task?

2. Why involve staff in choosing?

3. How many first use cases should you pick?

Ask the AI tutor

Ask anything about this lesson, in any language. The tutor is an AI: it can be wrong, and it never needs your personal details.

Next lesson: Write a simple team AI policy

AI-drafted. Checked by an automated validator and a separate AI reviewer; a person has not read every lesson. Translations and tutor answers are AI-made. Found a mistake? Tell us. AI can be wrong. General information only, not professional advice. Not affiliated with any AI company named. Current University is not accredited.