How to Use AI at Work (Manager Guide): 14 Prompts + Safety Tips
AI at Work for Managers: A 2-Part Guide Part 1 of 2 Managers spend a lot of time in meetings, emails, status updates, and follow-ups. AI can help a great deal with that job. In fact, 85% of firms today are using AI in at least one business activity, according to McKinsey. That doesn’t mean the AI replaces managers. This allows them to spend less time on regular work and more time on planning, coaching, and decision-making. In this article, we’ll explore how managers can practically use AI at work, the prompts managers can use today, and some safety considerations to keep in mind. Why Are Managers Using AI at Work Managers spend most of the day keeping things on track. Meetings generate follow-ups, projects require progress updates, and teams depend on quick decisions. AI helps take a piece of that load off, freeing up managers to spend more time on strategy, coaching and leading their people. Here’s why more managers are embracing AI on the job: 1. Reduce administrative work Managers spend hours each week taking notes, sending emails, and preparing updates. AI is doing a lot of busy work and gives you more time to do the things that need attention. 2. Sharpen follow-through Action items can easily get lost in the shuffle after a meeting. AI helps in capturing crucial lessons, assigning next steps and keeping projects moving forward. 3. Please keep the information in order Important information is often scattered between emails, documents, chats, and meetings. AI helps to tie it all together so managers can find what they need without wasting time. 4. Speed up daily tasks AI lets managers execute basic jobs without starting from scratch – from preparing meeting agendas to composing status updates. 5. Develop More Reliable Processes Structure notes, reports and documentation, and improve the work of teams. AI helps get that consistency across projects and divisions. AI isn’t designed to eliminate expertise or judgment. They use it to spend less time on monotonous tasks and have more time to support their teams and make better decisions. How to Use Generative AI at Work Effectively A lot of the value you receive from AI is in how you use it, not which tool you use. Managers who receive good results from AI do not see it as a silver bullet. They use it to support how they already work. Here are some methods to do more using AI at work: 1. Begin with repeated tasks AI is at its best when it takes care of the job you do over and over. Meeting notes, status updates, agendas and rough first drafts are all useful starting points. 2. Give it an adequate background The AI can only work with the data you provide it. Tell it what you want to accomplish, who you’re doing it for, and anything else you want it to remember. Usually, a little more context may go a long way. 3. Have a look through the output AI can make mistakes. Sometimes the mistakes are clear. Sometimes they are not. Verify the facts, data, and details before discussing anything with clients, leaders, or teammates. 4. AI to support decisions, not to make decisions AI can help you think through ideas and organize information, but it doesn’t know your team’s history, or the trade-offs behind every choice. That aspect is still up to you. 5. Create prompts for regular activities Much of the work is copied. If you’re writing the same project updates, running one-on-ones, or prepping meeting agendas every week, save the prompts that work. It saves time and helps to keep everything uniform. 6. Think of the entire procedure The largest benefits tend to be about enhancing an entire workflow, not just a single activity. For example, AI meeting assistant is capable of more than just taking notes. It can pull out action items, summarize choices, and speed up follow-ups. Also Read: Aimey vs Fireflies: Comparing Meeting Notes, Agendas, and Automation 14 Ways to Use AI at Work AI is best used to take repetitive work off a manager’s plate. It’s not about automated leadership. It means less time doing admin work and more time doing execution, coaching and decision-making. Here are 14 ways managers can put AI to work in a pragmatic way. 1. Summarizing Meetings and Documenting Action Items Managers may have spent the majority of their week in meetings, but the real work begins when the meeting ends. Teams need clarity on decisions, ownership, and what to do next. Without a reliable process, action items can get lost in notes or simply forgotten. AI can pore over meeting transcripts, identify key decisions, uncover open questions, and consolidate follow-ups into an organized summary. This creates a common understanding and decreases the time spent on reconstructing conversations. For example, a department head can summarize a weekly leadership meeting and distribute decisions, owners, and deadlines to stakeholders in minutes. Here’s how the prompt would look: 2. Prepare Stakeholder Updates Stakeholders need to see progress, risks, and priorities. It often takes longer than managers think to get those updates prepared. AI can turn project notes, meetings and status reports into quick updates for executives, customers, or internal teams. This helps managers communicate uniformly without spending hours writing reports. A Project Manager can transform weekly notes into an Executive Update that captures accomplishments, risks, and upcoming milestones. Here’s how the prompt would look: 3. Be Ready for One-On-One Meetings Managers who don’t have time to prepare often turn one on ones into status reviews. Important discussions on development, motivation, and support are assigned to the back seat. AI can help managers find discussion topics, summarize recent successes, and offer questions that lead to meaningful conversations. Prior to a monthly check-in, a manager can review recent project activity to prepare talking points about workload, growth, and challenges. Here’s how the prompt would look: 4. Develop Project Plans Big initiatives often begin with ideas floating around in emails, meetings, and