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 the audience can take away

  • 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.

Possible format

Discuss a keynote with audience questions or a facilitated review of an illustrative workflow. Technical depth and examples are agreed during planning.

Questions for your planning brief

  • 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