All ideas
Framework

7 Safety Learning Innovations

Seven technologies and practices changing how companies teach safety, from Critical Controls and Smart Permits to VR/AR, Digital Twins, Edge AI, Connected Worker, and AI Agent Suites. I use it to brief leadership teams before they make a large investment.

Most safety training is still a slide deck. The leaders I work with know it’s broken; they’re less sure what credible alternatives exist, and even less sure how to sequence investment.

This framework names the seven serious innovations available right now, the technologies that have moved past pilot into production at scale somewhere in the world.

  1. Critical Controls Management. Operationalized barrier-based risk management. Workers and supervisors know which controls protect against which catastrophic events, and verification happens before the work starts, not after.
  2. Smart Permit to Work. Digital permitting that enforces sequence, integrates with isolation systems, and produces an auditable record. Reduces the “paper PTW signed without the actual checks” failure mode behind many permit-related incidents.
  3. VR / AR for high-consequence training. Scenario-based practice for events that are too dangerous, too expensive, or too rare to train on the real equipment. What matters is the deliberate practice loop that VR makes possible.
  4. Digital Twins for hazard rehearsal. A working model of the asset that lets supervisors walk through change windows, isolations, and emergency response virtually before the live operation.
  5. Edge AI for behavior-based safety. Cameras and sensors at the edge that flag specific risk behaviors (PPE, proximity, posture) without sending video to the cloud. The signal goes straight to the supervisor instead of sitting in a data lake.
  6. Connected Worker platforms. Wearables, mobile-first checklists, and structured field reporting. The worker becomes a real-time sensor of conditions that supervisors used to find out about days later.
  7. AI Agent Suites for safety operations. Conversational agents that walk supervisors through observations (like the SARA agent), draft incident write-ups, and surface trend signals from the field. The agent speeds up the routine work and leaves the judgment to the supervisor, who now has time for it.

The framework is sector-adapted. The mining variant emphasizes 1, 4, and 6. Power and utilities lean on 1, 2, and 5. Food and beverage prioritizes 3, 5, and 7. The investment sequence depends on the sector, the maturity, and the specific failure modes the leadership team is trying to address.

I use the framework to give leadership teams a vocabulary for a serious conversation about what to fund, in what order, and why, rather than to recommend all seven.

Where this came from

Built from working sessions across mining, power, and food/beverage sectors.