Take the human out of the equation and the agent issues the credit, routes the shipment or updates the account on its own. If it starts from the wrong record, the mistake carries through every step after, often with no clean way to undo it. Join Profisee’s Chief Data Officer, Malcolm Hawker, on December 8 at 11:00 AM AEDT to learn what must be in place before an agent can act without review.

You’ve succeeded in grounding the behavior of an AI-based solution that depends on data coming from multiple sources of truth and meaning. Now the task is to implement a solution that can respond in real time to queries from agents that span every conceivable context, and data sources from across the entire enterprise. This is the ‘run’ phase of your AI grounding journey, and it requires high levels of both technical complexity and data governance maturity, both of which are appropriate for a solution capable of delivering this level of transformational value.

What to Expect:

• Why an early error in a multi-step agent compounds without human oversight
• How the notion of ‘context’ can itself become contextual based on your use case
• How to keep trusted records current so the agent flags a stale record or declines to act instead of acting on old data
• Where to draw the line for actions that still need human review, and why that line is a deliberate control, not a failure
• The role that AI must increasingly play in augmenting (and automating) the governance and management of your trusted sources of truth and meaning.

If you’re a data or AI leader preparing agents to act on their own, register now and bring your questions. We’ll answer them in chat throughout the session.