Use Case • Training • Knowledge Management
Use Case:
Mining
AI-powered knowledge retention and predictive maintenance for industrial uptime.
Lumina: Knowledge Retention
🏭 Operational Challenge
Key knowledge disappears when senior staff retire. Teams are left without answers, and critical know-how is lost. Knowledge retention is a growing operational risk.
☑️ Applicable Solutions
- ☑️ Lumina Core: Central AI knowledge engine
- ☑️ Lumina Knowledge: Instant answers from SOPs and manuals
- ☑️ Lumina Support: 24/7 AI operational advisor
- ☑️ Lumina Academy: Lightweight refresher access, on demand
💰 Business Impact
- 💰 Reduces reliance on senior staff for answers
- 💰 Speeds up frontline decision-making
- 💰 Prevents delays caused by inaccessible knowledge
- 💰 Enables consistent responses across all shifts
📊 Quantifiable Metrics
- 📊 90%+ faster access to documented knowledge
- 📊 70% fewer escalations to senior staff
- 📊 AI coverage of 1000+ pages of SOPs
- 📊 Measurable improvement in shift-level autonomy
Predictive Equipment Maintenance
🏭 Operational Challenge
Each step in the mining process is tightly interlinked. If one component fails, the entire operation can grind to a halt. From crushers to pumps to loaders, a single fault can trigger site-wide downtime. Manual checks miss early signs, and unexpected failures can cost millions per day.
☑️ Applicable Solutions
- ☑️ Predictive Analytics: AI-driven monitoring of belts, motors, and rollers
- ☑️ 24h Advance Warning: Downtime risk alerts before failure
- ☑️ Vision: Component wear detection using high-speed cameras
- ☑️ Operations: Auto-generated maintenance schedules and work orders
💰 Business Impact
- 💰 Prevents costly line stoppages
- 💰 Reduces breakdown frequency with planned maintenance
- 💰 Improves asset life across high-wear systems
- 💰 Avoids emergency repair logistics and downtime penalties
📊 Quantifiable Metrics
- 📊 24-hour advance alerts with 98% accuracy
- 📊 52% reduction in unexpected shutdowns
- 📊 18% increase in production uptime
