System for Combining Visual and Audio Maintenance Signals

The problem

In day-to-day operations, equipment images, audio and maintenance history are held in separate records and files, preventing the team from reviewing the same case in a single view.

As a result, the link to source evidence can be lost while preparing a reason for review and maintenance queue entry, leading to repeated checks and uncertainty about the basis for the decision.

Incomplete automation may overlook new equipment or insufficient records, while poorly controlled automation risks unnecessary downtime or a missed fault.

What we set out to improve

• Time required to prepare a reason for review and maintenance queue entry
• Correct routing of cases involving new equipment or insufficient records to the appropriate specialist queue
• Recording of recommendations corrected or rejected by the maintenance engineer

How the system works

1. 01 Retrieve equipment image, audio and maintenance history data from an authorised source
2. 02 Verify the source system, record identifier and recency information
3. 03 Transform the fields into the target process schema
4. 04 Prepare a reason for review and maintenance queue entry draft
5. 05 Compare the draft with business rules and source records
6. 06 Check for exceptions involving new equipment or insufficient records
7. 07 Obtain the maintenance engineer's approval, correction or rejection
8. 08 Write the input, recommendation, changes and final decision to the audit log

Methods we used

• Source-traceable data extraction from equipment images, audio and maintenance history
• Structured output that restricts review reason and maintenance queue fields through business rules
• An exception gate that separates cases involving new equipment or insufficient records
• A queue that shows the source and recommendation together for the maintenance engineer
• Duplicate-processing controls and rollback records to mitigate the risk of unnecessary downtime or a missed fault

Where people stay involved

Data and security

Only the fields required for the task are processed from equipment images, audio and maintenance history. Source-system permissions remain in force, and personal or commercially sensitive data is minimised before being provided to the model. Every read, recommendation, human amendment and write to the target system is logged.

Who this suits

Frequently asked questions