Thank you to those that joined us for the Applying Agentic AI: Industry Lessons Learned session we held with Matt Hardman from Cognite!

A Special Thank You​​

A big thank you to Matt for sharing a great in-depth presentation on Agentic AI. As well as our members that attended, we appreciate you taking the time to attend and be part of an engaging discussion on how AI is delivering measurable value across energy, manufacturing, and utilities. 

Event Recap and Key Takeaways

During the session, we focused on moving beyond AI experimentation and into real operational outcomes. Drawing on active customer deployments, Matt shared practical lessons learned from implementing agentic AI systems in complex industrial environments. Some of the key topics included:

• The Foundational Imperative
  A robust Industrial DataOps platform is non-negotiable. Contextualised data (including P&IDs, time series, 3D models, and ERP data) is essential to ground AI agents, eliminate hallucinations, and enable trustworthy outcomes.

• Accelerating Core Workflows
  AI agents are delivering tangible improvements, including:
  • Reducing Root Cause Analysis (RCA) from weeks to hours
  • Automating work package generation
  • Cutting shift handover effort by up to 50%
• Lessons in Deployment & Scaling
  Success comes from moving beyond isolated AI tools to a coordinated, scalable fleet of agents aligned to business workflows.
• Building Trust & Adoption
  Human-in-the-loop design, explainability, and empowering engineers and operators are critical to driving confidence and sustained adoption.