Milwaukee AI Use-Case Exchange: Ideas to Decisions

Connect with Milwaukee folks to swap practical AI ideas and turn them into real decisions-in person. • 12:45 PM – 1:00 PM | Check-In & Table Assignment Verify tickets and welcome attendees. Distribute ticket-specific materials and assign tables. Explain the self-guided format. • 1:00 PM – 1:10 PM | Self-Guided Exchange Orientation Review participation guidelines and discussion timing. Introduce IDENTIFY → COMPARE → CHALLENGE → DECIDE. Explain scenario materials, privacy, and conduct rules. • 1:10 PM – 1:35 PM | Scenario 01: Customer Communication Review a fictional customer-response workflow. Identify challenges and compare AI-assisted approaches. Discuss human oversight and share observations. • 1:35 PM – 2:00 PM | Scenario 02: Reporting & Operations Compare manual and AI-supported reporting. Discuss data quality, operational constraints, and risks. Identify possible next steps. • 2:00 PM – 2:10 PM | Break & Optional Connections Personal break and informal networking. Prepare for the next scenario. • 2:10 PM – 2:40 PM | Scenario 03: Human Decision Checkpoints Evaluate fictional AI-generated recommendations. Compare human and automated decision-making. Discuss approvals, exceptions, and accountability. • 2:40 PM – 3:00 PM | Individual Decision Mapping Paid attendees complete worksheets, identify review checkpoints, and select a small experiment. Complimentary attendees continue informal discussions and independent notes. • 3:00 PM – 3:15 PM | Peer Reflections & Closing Share optional reflections and practical next steps. Explain ticket-specific digital resources. Collect feedback and close the event. Milwaukee AI Use-Case Exchange: Ideas to Decisions is an in-person event for exploring AI use cases and turning ideas into decisions. Come ready to exchange perspectives, spark ideas, and talk through what’s next. AI ideas are everywhere. Clear business decisions are harder. For many founders, small business owners, and operations professionals, the challenge is no longer discovering that AI tools exist. It is deciding where AI actually belongs in everyday work. Should a repetitive task be automated? When is AI assistance more useful than a traditional process improvement? Where should human review remain essential? And how can a promising idea become a small, manageable experiment? Milwaukee AI Use-Case Exchange is a focused, 24-person professional gathering designed to explore these questions through realistic fictional business scenarios and structured peer discussion. Unlike a traditional AI workshop or expert-led presentation, this experience is self-guided. Participants use prepared scenario materials, clear activity instructions, and timed discussion rounds to examine practical AI opportunities and compare different approaches. There are no keynote speakers, coding tutorials, software demonstrations, or technical instructors. The experience follows four steps: IDENTIFY → COMPARE → CHALLENGE → DECIDE IDENTIFY - Understand the business problem and the workflow being considered. COMPARE - Explore manual, AI-assisted, and partially automated approaches. CHALLENGE - Question assumptions, risks, data requirements, and human oversight. DECIDE - Identify a reasonable next step and what should be tested before implementation.