NAZARE
Turn expert decisions into knowledge AI can read
Store interview-derived warning signs and checks against equipment and signals.
Explore the product
Resources
A practical way to organize site knowledge.
Start with the entities, relationships and rules needed for one recurring question.
The approach
How does it work?
- 01 Capture experience
Turn individual experience into shared guidance
- 02 Connect knowledge
Provide the context behind a decision
- 03 Review evidence
Evidence the responsible person can review
- 04 Apply to work
Knowledge that supports the next task
Details
Scope and considerations
Choose a question and its evidence path
Choose a question such as why a LOT failed inspection. Document the product, LOT, equipment, process interval and result, including identifiers and current lookup steps.
The first deliverable is a list of evidence and relationships. Separate missing data and inferred relationships.
Separate entities, relations and rules
Equipment and LOTs are entities; processed-by is a relation; inspect-first-under-condition is a rule. Map system aliases to a reference identity.
Record validity periods and evidence so past production is not incorrectly interpreted using current relationships.
Record conditions and exceptions
Replace “act when hot” with equipment/product scope, threshold, prerequisites, prohibitions and post-action checks. Record author, reviewer and review date; resolve conflicts or mark deferral conditions.
Keep unvalidated experience as hypotheses with traceable provenance.
Validate with real incidents
Replay historical incidents to check evidence retrieval and rule fit. Trace the knowledge used by NAVIS and incorporate operator review.
Begin with one equipment group and workflow. Maintain freshness, applicability and approval ownership as the knowledge base expands.
Start together
Tell us what you want to improve first.
Tell us about your equipment, data and priorities to review a path from connection to operations.