The decision at the center
Which AI workflows deserve more investment, which need redesign, and which should stop?
The conversation
The session starts with a familiar problem: a compelling demonstration with an unclear business result. It connects workflow design, acceptance criteria, cost, and accountability so leaders can ask sharper questions before scaling.
What to consider
- Choose a business outcome and a credible baseline before declaring success.
- Separate time saved, capacity created, and realized financial benefit.
- Account for review, rework, integration, and ongoing operation.
- Build a concise expand, redesign, or stop decision for a pilot.
How to use this guide
Use these questions for a reading group, team discussion, or event-planning conversation. Choose examples that fit the audience and avoid sharing confidential information. This guide describes a topic, not a program offered by a particular speaker.
Questions to explore
- What stage is the audience at: exploration, pilots, or scale?
- Which investment decision is approaching?
- What evidence can the team share without exposing confidential information?
Read before the conversation
[AI Burst] The "Anti-Efficiency" Trap
An AI tool can save time on a task and still make the whole process more expensive. Measure the outcome that survives review.