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Reference 03 — Industrial AI & automation
AI-Powered Data Center Optimization
AI-driven automation across data center operations reducing energy consumption by 35% with €2M annual savings.
Location
Multi-site programme
Sector
Digital infrastructure
Technology
Industrial AI & automation
Year
On request
01 · The challenge
The challenge
Multi-site data center operations carried substantial and growing energy overhead, with cooling and load management controlled by static setpoints that ignored real thermal and workload dynamics.
02 · TOKEF approach
- 01
Energy audit and data infrastructure assessment across sites.
- 02
Deployment of AI-driven automation for cooling and load management.
- 03
24/7 monitoring with predictive alerting ahead of thermal excursions.
- 04
Knowledge transfer so client teams own the system after handover.
Engineering scope
- Energy analytics
- AI & automation engineering
- Monitoring systems
- Operator training
03 · Results
The AI automation system measurably reduced energy consumption across operations while maintaining availability targets, delivering recurring operating savings.
Key data
| Energy reduction | 35% |
| Monitoring | 24/7 |
| Annual savings | €2M |
Figures as published for this project. Formal re-verification against current operating data is in progress.
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