The decision at the center

What evidence supports releasing or expanding an AI-enabled workflow?

The conversation

The discussion connects prompt injection, data boundaries, and tool access to business consequences. It emphasizes control demonstrations and ownership rather than implying that any model or vendor can remove every risk.

What to consider

  • Trace how untrusted content could influence a business action.
  • Ask for tests of boundaries as well as model quality.
  • Define release evidence and meaningful change triggers.
  • Plan an escalation path for unexpected AI behavior.

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

  • Is the audience building applications, buying them, or governing both?
  • What sensitive data or consequential actions are in scope?
  • Which release or investment decision needs clearer evidence?

Read before the conversation