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ArcelorMittal Case Study

CASE STUDY

Saving over 1,000+ engineering hours annually with AI, while improving wrench time by 13% and reducing technical knowledge lookup times by 98.7%.

INDUSTRY
Metallurgy
PRODUCTS
Steel
Production
HEADCOUNT
477 total
INTEGRATIONS
Google Drive, Excel
LOCATION
Eastern Europe
Steel production line in a metallurgy facility

Tacit AI helped us access manuals, drawings, and procedures instantly, reducing desk trips. Field teams spend more time on assets, improving work cycle and wrench times. The rolling mill pilot is just the beginning in our digital transformation journey.

Adrian Toma headshot
Adrian Toma
Head of Maintenance

CHALLENGE

ArcelorMittal Hunedoara faced inefficiencies in its rolling mill lines due to fragmented technical documentation access. Workers frequently left the production floor to locate, translate, and print manuals, procedures, and work orders, taking 43 minutes to find technical documents through a cumbersome process that reduced first-time fix rates and extended repair cycles.

43 minutes to retrieve physical technical documentation
Extended repair cycles and prolonged downtime
Reduced first-time fix rates, increasing rework
Engineers leaving production floor frequently
Paper documents damaged and discarded after use

SOLUTION

Instant Knowledge Access

Workers can search, view, and translate manuals in real time, reducing repair times and improving first-time fix rates

  • Seamless integration with existing systems to source and unify user manuals, procedures, spare parts and technical drawings.
  • Workers can search, view, and translate manuals in real time using mobile devices.
  • Eliminated 43-minute workflow reduced to under 1 minute access time.
  • Real-time recommendations and mobile guidance for decision-making.
Tacit AI Platform showing steel mill documentation and procedures

Unified Knowledge Base

AI consolidated manuals, procedures, and work orders into a searchable knowledge graph, enabling fast, accurate access to critical information

  • Unified unstructured data and built a knowledge graph, representing equipment functionality, failure modes and asset hierarchies.
  • Adapted the Tacit AI Companion interface to client requirements, standards, language preferences and asset types.
  • Fine-tuned industry-specific AI to understand asset functionality and guide technical teams in real-time, through their mobile devices.
  • Continuously optimize the AI model with feedback from mechanics and engineers, improving accuracy from 73% to over 96%.
Tacit AI Companion showing steel mill field operations efficiency

RESULTS

42 min
Saved per repair
(98.7% document lookup time)
13%
Improved wrench time
156
Hours saved per engineer per year

The pilot deployment on our rolling mill demonstrates the transformative potential of AI in our operations. Our engineers now have instant access to critical information, allowing them to focus on what matters most – keeping our assets running efficiently and safely.

Adrian Toma headshot
Adrian Toma
Head of Maintenance

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