From Alerts to Agents:
How Agentic AI is Redefining Asset Reliability at Enterprise Scale
Most APM solutions stop at anomaly detection, flagging a potential failure and leaving humans to figure out what to do next. But the real bottleneck isn't detecting problems; it's orchestrating the response across data silos, maintenance teams, and supply chains. In this session, we'll show how agentic AI goes beyond prediction by autonomously reasoning across operational data, coordinating field services, and continuously learning from outcomes. Drawing on real-world deployments at companies like Dow, see how C3 AI turns asset performance management from a reactive dashboard exercise into an autonomous operating capability.
Audience Takeaways:
1. Why "better predictions" alone aren't enough: Understanding the gap between detecting an anomaly and preventing a failure, and why workflow orchestration is the missing link in most APM programs.
1. Why "better predictions" alone aren't enough: Understanding the gap between detecting an anomaly and preventing a failure, and why workflow orchestration is the missing link in most APM programs.
2. What makes agentic AI different from traditional ML-based APM: A practical breakdown of how autonomous AI agents reason, act, and learn in complex industrial operations, and how this compares to the static model-alert-dashboard pattern most vendors still rely on.
3. How to scale predictive maintenance across an entire enterprise: Lessons from organizations like Holcim and Shell, which scaled C3 AI Reliability across their enterprises, and what made rapid enterprise-wide deployment possible vs. the "proof-of-concept purgatory" many organizations get stuck in.
4. The emerging role of AI-powered field services in closing the last-mile reliability gap: How AI agents are equipping field technicians with real-time insights, step-by-step guidance, and seamless access to remote experts, turning field work from reactive troubleshooting into guided, data-informed execution.
Our Presenter
Graham Provost
Director, Products at C3 AI
Graham Provost is a seasoned enterprise product leader with more than 25 years of experience at the intersection of industrial operations, digital transformation, and AI. He currently works with C3 AI, helping asset-intensive organizations leverage agentic AI to transform reliability and operational performance.
Graham's career spans some of the most recognized names in industrial and enterprise technology. At AVEVA, he led award-winning programs including multi-year operational excellence initiatives with Shell that earned a Hydrocarbon Processing Award for Best Health, Safety, or Environmental Contribution. At CORYS, he served as Vice President of Portfolio Strategy and Business Development for Process Industries, driving go-to-market strategy across simulation, digital twins, and operator competency solutions. He also held product roles at Cisco, where he gained deep expertise in enterprise networking, cybersecurity and digital infrastructure.
Graham began his career as a nuclear operator in the U.S. Navy, an experience that gave him a firsthand understanding of the criticality of asset reliability, operational discipline, and safety culture. These are themes that continue to shape his work today. He holds an MBA and graduate certifications in cybersecurity, a bachelor's degree in organizational effectiveness a nuclear operator certification, and specializes in oil & gas, power, cement and mining. He is based in Palo Alto, California.