Spare-parts information is spread across roughly 1,000 technical manuals from 125 different manufacturers: PDFs, scans, multiple languages. The maintenance system holds incomplete parts lists, so crews lose time finding which parts are on board and orders go wrong.

Production runs on experience and gut feeling. Critical knowledge sits in the quality management system and in the heads of senior operators who are close to retirement. New staff take long to onboard, quality varies, and expertise walks out the door when people leave.

AI direction gets set at the top. Without a shared view in the boardroom, AI stays a collection of scattered initiatives instead of a company-wide capability.

Suppliers send confirmations, changes and updates by email in every format imaginable. All of it gets retyped into the ERP by hand: slow, error-prone, and impossible to scale as volumes grow.

GenAI opportunities across core systems like SAP, ServiceNow and M365, but no unified access, differing stakeholder needs, and strict compliance requirements under the EU AI Act. The result: fragmented tooling, redundant spend and no clear value case.