01 / KNOWLEDGE
Document-grounded troubleshooting
Retrieve relevant procedures, checks and machine knowledge from approved source material without pretending the answer is exhaustive.
PRAEZISER AI LAB
AI grounded in the work, not in the hype.
The AI Lab explores narrow, useful tools for manufacturing and operational decisions. Experiments remain clearly labelled until their accuracy, safety and value are demonstrated.
02 / DATA
Production analysis
Summarise losses, surface anomalies and focus attention while retaining the operational context behind the numbers.
03 / DECISIONS
Structured decision support
Compare requirements, assumptions, risks and scenarios for capacity, investment and improvement decisions.
WORKFLOW DEMONSTRATOR
See the evidence boundary.
This is a transparent example of how a narrow industrial AI workflow should frame inputs, output and limits. It does not process uploaded production data.
SAMPLE QUESTION
A machine stops with an intermittent drive alarm after warm-up. Which approved checks should the technician perform first?
01 / APPROVED EVIDENCE
Approved drive troubleshooting procedure
Machine-specific electrical documentation
Recorded alarm history
02 / BOUNDED OUTPUT
Returns the relevant approved checks with source references, flags missing machine context and escalates steps requiring authorised electrical work.
Explicit limit: It does not diagnose beyond the approved sources or replace lockout, electrical-safety and escalation procedures.
RESPONSIBLE BY DESIGN
Clear sources. Clear limits. Human ownership.
Useful industrial AI needs permissions, validation, traceability and explicit boundaries. It should support a responsible owner—not hide the decision behind a score.