MATLAB Layer 1
Machine-assisted perception
Make weak signals in operational and CRM narratives visible at scale while keeping raw text inside the controlled environment.
How it works
- A versioned operational dictionary identifies causal language, mechanisms, severity, customer consequence, expedite requests and emergency claims.
- MATLAB Text Analytics can add token count, dominant terms and lexical novelty to identify vocabulary drift and candidate dictionary updates.
- The extractor emits bounded fields such as work center, why-level, mechanism, priority-review signal and corroboration requirement.
- Every percept records source, evidence role and dictionary version; raw narrative bodies and the bag-of-words matrix are discarded.
Judgment and authority
Operations, scheduling, service and governance experts construct, validate and approve dictionary changes.
Perception and consistency
The perception layer scans far more narrative evidence than an individual planner can continuously read and compare.
Auditable percepts and observations suitable for the shared situation model.