Manufacturing / Industrial — Trusted “Ops Knowledge Copilot” with Governance

Client profile: Multi-site manufacturer / industrial operator

Situation

Operational knowledge was fragmented (manuals, SOPs, tickets), creating slow troubleshooting, inconsistent procedures, and onboarding bottlenecks—yet AI rollout had to be safe and controlled.

What MHN implemented (public-safe)

• Knowledge asset governance: ownership, versioning, trusted-source controls

• Governed RAG: retrieval restricted to approved procedures and plant/site scope

• Trusted agents: controlled tools (assist, log, route) with safety constraints

• CacheGuard: cost guardrails for repetitive operational queries

• One-Click SoT (GitHub → AWS): reproducible deployment + observability suitable for operations teams

• Evidence pack: scenario-based evaluation and audit artifacts for safe rollout

  
  

Outcomes (typical)

• Faster troubleshooting and fewer repeat incidents

• Increased consistency across sites (clear ownership + trusted procedures)

• Faster onboarding and reduced reliance on “tribal knowledge”

• Predictable AI costs and safer operational adoption

  
  

CTA: Run a “Downtime Reduction Sprint” on one plant/workflow.

Note: These examples are anonymized composites and may combine elements from multiple engagements to protect confidentiality.