Agentic AI
CRH · Process Industry

Agentic Workflow to Optimise Cement Plant Operations

−18% energy cost per tonne
94% schedule adherence
Live in 6 weeks

The Challenge

Manual scheduling across 12 kilns had no connection to real-time energy price feeds. Significant cost overruns from running high-consumption processes during peak-rate windows, with no ability to re-sequence in response to intraday grid pricing fluctuations or kiln anomalies.

What We Built

An agentic AI workflow integrates live energy pricing APIs, kiln health telemetry and production demand signals into a single autonomous system. Agents re-order kiln batches during price spikes and pass full operational context across shifts — shift-handover continuity built in by design.

Operational Impact

Sustained 18% reduction in energy cost per tonne across all 12 kilns. 94% multi-kiln schedule adherence. Deployed into existing plant control infrastructure in 6 weeks.

Technology Used

OpenAI GPT-4
Pinecone
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Standards

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ENS Alto certificationENS Alto
ISO/IEC 27001 certificationISO 27001
ISO 9001 certificationISO 9001
GDPR complianceGDPR
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