You don’t need a company-wide AI strategy to benefit from AI at work. Here are fifteen practical, low-risk uses you can try this week with any capable assistant — each with a prompt idea. Follow your organization’s rules on approved tools and confidential data.

Communication

1. Draft difficult emails. “Help me write a polite but firm email declining this request, offering an alternative: [context].”

2. Shorten long messages. “Cut this email to under 120 words while keeping the request and deadline clear.”

3. Prepare replies to common questions. “Create five reusable reply templates for these frequent customer questions: [list].”

4. Adjust tone across cultures. “Rewrite this for a colleague in Japan who prefers a more formal style.”

Meetings

5. Prepare an agenda. “Create a 30-minute agenda for a meeting to decide [topic], with time slots and the decision needed.”

6. Turn notes into action items. “Extract decisions, action items with owners and deadlines, and open questions from these notes.” See our meeting notes prompt.

7. Anticipate questions. “I’m presenting this proposal to finance. What tough questions might they ask, and how should I answer?”

Documents and analysis

8. Summarize reports. “Summarize this report in five bullet points for an executive, then list three risks.”

9. Write spreadsheet formulas. “Write a formula that sums column D where column B is ‘Paid’ and the date in column A is this month.”

10. Analyze data. Upload an approved, non-sensitive dataset: “What are the main trends? Create a chart of monthly totals.”

11. Compare documents. “List the differences between these two versions of the policy.”

Planning and thinking

12. Break down a project. “Break this project into phases, tasks and dependencies, with a rough timeline.”

13. Pressure-test a decision. “Here’s my plan. Argue against it, identify weak assumptions and suggest what evidence would change my mind.”

Learning

14. Learn a new skill quickly. “Teach me the basics of [topic] in five short lessons with exercises, assuming I know [your background].”

15. Decode jargon. “Explain these terms from a vendor proposal in plain language, and tell me what questions to ask: [terms].”

Why these work

These tasks are well-defined, easy to check, and don’t require the AI to know facts you can’t verify. Research supports the value: a large study of customer support agents found AI assistance raised productivity by about 14% on average, and a controlled experiment found developers using GitHub Copilot completed a programming task about 56% faster than those without it.

Three habits for safe use

  1. Don’t paste confidential data into unapproved tools.
  2. Check before you send — especially numbers, names and commitments.
  3. Keep your judgment in charge: AI drafts and suggests; you decide.

Make it stick

Pick three ideas from this list and use them every day this week. At the end of the week, note how much time they saved and which outputs needed the most correction. Keep what works, and share the best prompts with colleagues.

A five-day starter plan

  • Monday: use AI to draft and shorten your three longest emails.
  • Tuesday: prepare an agenda and anticipated questions for your next meeting.
  • Wednesday: summarize a report you’ve been postponing.
  • Thursday: get help with a spreadsheet formula or data question.
  • Friday: ask AI to critique a document you wrote this week, then improve it.

Share what works

Keep a shared document of prompts that worked well for your team, with an example input and output. It turns individual experiments into team knowledge and helps colleagues get started faster.

What to watch next

  • AI features integrated into email, documents and spreadsheets.
  • Company policies on approved AI tools.
  • Agents that complete multi-step work tasks.
  • Measured productivity effects across job types.

Key takeaways

  • AI helps with emails, meetings, documents, analysis, planning and learning.
  • Well-defined, easily checked tasks are the best starting point.
  • Studies show significant productivity gains on suitable tasks.
  • Avoid confidential data in unapproved tools and check outputs.
  • Try three uses daily for a week and keep what works.

Frequently asked questions

Is it allowed to use AI at work?

It depends on your employer’s policies. Many organizations provide approved tools and guidelines.

Which tasks should I avoid?

Avoid using AI for decisions about people, legal or financial commitments, or anything involving confidential data without approval.

How do I measure if AI saves time?

Note how long tasks took before and after, and how much editing AI outputs needed.