Resilient AI: How to Protect, Verify, and Recover Your Agents Before They Fail You
A model gets deprecated, a prompt gets a one-line edit, a connector gets added — and none of it trips an alarm. This session breaks down the operational, technical, and financial resilience gaps in AI systems and how to close them before the next change forces your hand.
Watch On Demand: Resilient AI: How to Protect, Verify, and Recover Your Agents Before They Fail You
A model gets deprecated and there’s nothing to roll back to. A prompt gets a one line edit to fix an edge case and the agent’s behavior changes with no review, because a prompt edit doesn’t look like a change, it looks like a configuration update. A new connector gets added and nobody signed off on what data or tools that agent can now reach. None of this trips an alarm. Performance can degrade while the dashboard still shows green, and the bill that tells you token costs moved usually arrives weeks after the decision that caused it.
Traditional RTO plans assume a disruption event: something breaks at a specific moment, you roll back, you move on. AI doesn’t give you that moment, and you’re often not even the one making the change. The provider deprecates the model on their schedule, not yours.
This session breaks down the three areas where that gap actually lives, operational, technical, and financial, and what building resilience into each one looks like in practice.
Key Takeaways:
- Operational resilience is decided in advance. Promotion gates, named approvers, and scenario testing before a change ships, not an audit after something breaks.
- Technical resilience runs through one control plane, not the prompt. A single point between every agent and every model provider means routing and failover survive a model swap, plus deprecation warnings at 90, 60, and 30 days with the exact agents affected.
- The prompt catches teams off guard, not the model. A model change comes with a vendor and a date. A prompt edit has neither, and it’s the change you had full authority over.
- The failover cost is set before the failover fires. By the time traffic reroutes, you’re watching the number, not managing it. That happens when you choose your backup model and set your caps.
Watch on demand for the full breakdown of how to build promotion gates, a control plane, and cost caps into your AI systems before the next change forces your hand.