AI in Practice
This is your starting point for putting AI to work in projects, change efforts, process improvement, and the everyday tasks in between. Here you can find prompts you can copy, tool guides you can follow, and much more.
Before you start: access, policy, and data protectionQuestions about which tools are licensed, how to get access, campus AI policy, or what data you can put into a tool are answered by campus IT, not this page. Start with the Berkeley AI Hub and the campus guidance on appropriate AI use. Everything on this page assumes you're using approved tools within those guidelines. |
Where to start
AI won't run your project or redesign your process for you. But it can do real work: draft a problem statement, flag the waste in a documented process, pressure-test your change communications, or pull the themes out of fifty pages of survey comments. Used well, it makes the slow parts of the job fast.
How you ask makes all the difference. The examples below follow a simple pattern: give the tool a role, give it context, and ask for something specific. Ask this way and you get answers you can use. Ask vaguely and you get generic filler.
Paste these prompts into Gemini, ChatGPT, or any other tool you're authorized to use.
Process Improvement
Put an analyst on your team. Feed it a documented process and ask it to identify waste, bottlenecks, and handoff risks. Summarize interview notes, generate candidate root causes to test, and get improvement recommendations you can pressure-test with the people who do the work.
Project Management
Get from blank page to working draft fast. Draft problem statements, objectives, and milestones for your charter, build a first-pass risk register, turn meeting transcripts into decisions and action items, and translate technical updates into sponsor-ready language.
Change Management
Anticipate resistance and sharpen your response to it. Get advice on handling specific resistance patterns, draft communications tailored to each stakeholder group, role-play difficult conversations before you have them, and stress-test your change story against likely objections.
Data Analysis
Working with a large set of documents? NotebookLM is built for exactly this and shows you where each answer came from. Make sense of more information than you have time to read. Summarize long reports, find themes across hundreds of survey comments or feedback forms, compare documents against each other, and get a first-pass analysis you can verify before it goes anywhere.
Go deeper
Those four examples are a starting point. Here's where the depth lives.
Prompt LibraryReady-to-use prompts organized by discipline: process improvement, project management, change management, and data analysis. Copy, adapt, and go. |
BPMO Built AI ToolsThe tools we've built for campus, including Stu, our Process, Project and Change assistant, and the Gradients of Agreement decision tool. |
The Friday Forward Weekly NewsletterOur weekly briefing on practical AI, archived as short reads. Tips, use cases, and lessons from real campus work. |
Ask Stu
BPMO's AI Assistant
Stu is BPMO's Process, Project and Change AI Assistant. Describe your situation in plain language and Stu will point you to the right method, template, or prompt for the work in front of you.