Find repeat quality issues. Reduce audit admin.
Manufacturers sit on production, quality and supplier data that rarely meets in one place. We build AI agents that join it up: non-conformance analysis, supplier performance, work instruction support and automated quality documentation.
The work that repeats, every week.
Non-conformance reports written up but never analysed as a set
Work instructions and quality procedures hard to find on the shop floor
Supplier performance tracked anecdotally rather than from the data
Quality documentation and audit packs assembled by hand
Less manual work. Better access to answers.
Spot recurring quality issues
Cluster NCRs by root cause, part and supplier, and show where the repeat cost actually sits.
Find the correct work instruction faster
Shop-floor answers from your own procedures, work instructions and quality manuals, with the revision shown.
See which suppliers need attention
Combine goods-in, quality and delivery data into a live supplier scorecard.
Less time gathering audit evidence
Assemble the evidence pack for an audit from systems of record rather than from memory.
Agree the targets. Test the improvement.
These are measures for a pilot, not claimed client results. We agree your starting point and targets during discovery, then review the evidence with your team.
Test whether recurring non-conformances can be traced by part, supplier and cause.
Compare time spent finding the correct work instruction and revision.
Measure staff time spent collecting and checking evidence packs.
Reduce copying between the tools you already use. We can work with any system that has an API or a database, with access and project scope agreed during discovery.
Tell us what your team repeats every week.
We will help identify a focused pilot and agree how to measure whether it saves your team time.