Context

Hydrogen networks operate in high‑risk environments where leaks, near misses, sensor anomalies, and equipment deviations can occur across production sites, storage facilities, and pipelines. When safety data is scattered across logs and manual reports, teams face delays in detecting issues, inconsistent triage, and limited visibility into systemic risks.

The Hydrogen Network Safety Intelligence solution, built with Microsoft Planner Designer, centralizes incident intake and uses AI to classify events, identify patterns, and surface early‑warning signals across the network.

Challenges

Hydrogen safety operations often deal with fragmented data, making it difficult to build a complete safety picture. Manual triage slows response times and introduces inconsistency. Without automated pattern detection, recurring risks go unnoticed. Governance reviews and corrective actions become slow when evidence and approvals are dispersed, and maintaining audit‑ready records is difficult.

Solution

Planner Designer structures safety processes, roles, and workflows, enabling AI‑powered safety management. Copilot triages incidents, assigns severity, groups similar events, and recommends containment steps. AI analyzes incidents and near misses to reveal trends and emerging risks. Supervisors review and approve corrective actions through a centralized dashboard.

Operators and safety teams use dedicated apps such as Incident Entry, Safety Review Dashboard, Audit & Compliance Portal, and Governance Insights Copilot. Automated workflows consolidate history, reviews, and action tracking—creating a transparent, auditable, and continuously improving hydrogen‑network safety ecosystem.