The moving boundary

Agentic AI is moving fast. But most organizations are building on the wrong assumptions - and the cost of getting it wrong doesn't show up until you're already deep in production. Understanding where autonomous reasoning ends and deterministic process begins isn't an architectural nicety. It's the financial and regulatory decision that separates AI that scales from AI that spirals.

Key insights:

• Stop treating agentic AI as a co-pilot upgrade - discover why autonomous agents operate under fundamentally different unit economics than co-pilots, how unchecked reasoning chains grow token consumption quadratically, and why the difference between a $200K deployment and a $19M liability is architectural - not technological.
• Learn how the "Risk Dial" puts control back in your hands - explore how an independent planning function separates decision-making from execution, pins each step to the right model at the right cost, and gives CTO and business leaders a principled, auditable path from AI experimentation to AI operations - without betting the bank on a single unguided decision.
• Find the boundary that works for your regulated environment - understand how Pega's operating harness addresses agent drift, silent cost inflation from vendor model updates, and regulatory audit defensibility - so you can dial autonomy up or down based on real operating data, not guesswork.