Applied AI

Governed access to operational data

An active manufacturing engagement making specialist operational data easier to find and use without bypassing permissions, provenance or human approval.

Environment: Manufacturing operations · Focus: Data discovery and controlled access · Status: Active delivery; client anonymised

The challenge

Useful data, difficult access

Machine and operational data sits across specialist systems, historians, files and databases. The people who need answers may not know which source to use or how it is structured.

For plant managers and CEOs, the commercial question is whether authorised teams can spend less time assembling information and produce useful maintenance plans sooner. The engagement begins with bounded questions and approved sources, then validates answer quality and traceability with the people doing the work.

Delivery approach

Discover

Inventory sources, classify information, identify users and agree the priority questions.

Prove

Connect a bounded source set and measure retrieval quality, usefulness and traceability.

Operate

Add permissions, audit trails, monitoring, approval gates and a support model.

What we are validating

This is an active engagement, not a completed ROI case study. Measured time savings are not yet published.

  • Time spent finding and preparing the data for an agreed question.
  • Time spent producing a maintenance-plan draft for human review.
  • Answer quality, source traceability and usefulness for authorised roles.