Why industrial AI needs operational context
AI becomes more useful when it understands the facility's equipment, terminology, workflows and verified operating history. A generic chatbot cannot tell you why Conveyor Belt B keeps failing on the night shift.
AI becomes more useful when it understands the facility's equipment, terminology, workflows and verified operating history. A generic chatbot cannot tell you why Conveyor Belt B keeps failing on the night shift.
Generic LLMs vs Operational AI
Large Language Models are excellent at processing text, but without grounding in your specific CMMS and production data, they hallucinate or provide generic advice. Adunni AI is designed to read only from your approved operational records.
"Intelligence is only as good as the context it operates within."
The data foundation required for AI
Before implementing AI, facilities must ensure their equipment hierarchies are standardized and their shift logs are digitized.
Clean Data Ingestion
Ensure all historical work orders have proper closure codes.
Nomenclature Standardization
Make sure 'Pump 1' and 'P-01' are recognized as the same asset across all departments.
Agboola Adio Shonekan, C.Tech.
Founder and Chief Executive Officer
Experienced in industrial asset management, reliability engineering, and plant digital infrastructure.
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