Maximal Group Case Study
Accelerating SME reliability engineering output, with 59% faster repair cycle times and 12x faster FMEA and work instructions generation, while improving data quality, planning and real-time visibility into failure patterns.
PRODUCTS
Cardboard
Packaging
INTEGRATIONS
Excel, Odoo, Google Drive
LOCATION
Hunedoara, Romania
As a small manufacturer, quick time to ROI and efficient resource allocation are top of mind. Tacit AI helped our technical team complete months of work in Week 1.
Maximal Group is a cardboard packaging producer running short-to-medium custom jobs across flexo printing, die-cutting, laminating, and folder-gluer lines. As uptime became the constraint on on-time delivery, leadership prioritized quick ROI and smarter use of limited technical resources, without compromising safety or EU compliance.
Reactive fixes. Incomplete CMMS data
No standard failure codes. Incomplete KPIs
Scattered spares, driven by tribal knowledge
Preventive guesswork. Limited CBM
Limited downtime coding and investigations
- Agentic AI processed 15 years of data across 7 critical systems, 42 OEM documents and 1193 work orders.
- Scored work order compliance across 8 critical dimensions.
- Troubleshooting and resolution acceleration.
- Estimated MTBF, MTTR and OEE.
- Generating a draft maintenance and reliability strategy from existing data and industry context with Agentic AI.
- Standardized failure modes, effects, causes.
- Work instruction generation from OEM manuals.
- Reviewed and implemented by engineers, in days not months.
59%
Faster repair cycle times
12x
Faster FMEA and work instructions generation
100%
Real-time visibility into failure patterns
We are now able to prevent failures from happening and do work much faster than before. The morale of our small technical team went up because they now see the value of the data they collect in the CMMS.