Detect and triage degradation earlier
Combine trend evidence, operating context, failure hypotheses, and maintenance options into one reviewable package.
MANUFACTURING + ENGINEERING OPERATIONS
This room shows how a multi-agent system can combine sensor evidence, digital-twin state, failure-mode reasoning, factory-automation boundaries, industrial safety, and quality evaluation while keeping live-control, interlock, shutdown, work-order, and maintenance authority with qualified people.
01 / BUSINESS PROBLEM
The demo separates condition evidence from interpretation, digital-twin state from physical fact, maintenance recommendation from authorization, and analytical support from any pathway capable of changing the machine.
Combine trend evidence, operating context, failure hypotheses, and maintenance options into one reviewable package.
The public room uses synthetic telemetry and read-only control-state representations. Production adapters would be server-side and least privilege.
Invalid sensor evidence, model uncertainty, unverified interlocks, unsafe control requests, or unresolved industrial hazards stop progression.
The system cannot write PLC logic, change setpoints, bypass interlocks, shutdown or resume equipment, release work orders, or commission a cell.
02 / ENGINEERING AGENT STACK
Click a card to inspect what each system consumes, produces, may access, and must never do autonomously.
MISSION ROLE
03 / INDUSTRIAL MISSION CONTROL
Run a case to generate the reliability trace.
Select an event from the trace.
QUALIFIED ENGINEERING AUTHORITY GATE
04 / OPERATING EXPOSURE MODEL
The model estimates monitored downtime exposure, not guaranteed avoided cost or savings.
This is a discussion model only. Real economic value depends on asset criticality, baseline failure rates, false positives, maintenance effectiveness, spare-parts lead time, production constraints, actual downtime cost, model validation, and operating behavior.
05 / HOW A CLIENT WOULD DEPLOY THIS
A strong industrial pilot begins with trusted telemetry and reviewable recommendations, not a direct path from a language model to a live controller.
Define criticality, operating envelope, sensors, maintenance history, failure consequences, and decision owners.
Review calibration, timestamps, sampling, synchronization, units, operating context, and configuration identity.
Generate recommendations without affecting equipment and compare them with engineer and maintenance outcomes.
Verify that requests to bypass interlocks, alter setpoints, or write controls are denied and logged.
Track precision, missed degradation, false alarms, uncertainty, lead time, reviewer agreement, and traceability.
Allow the system to prepare work-planning evidence while authorized personnel retain work-order and operating decisions.
DOCUMENTATION
The shared implementation guide explains state, orchestration, tools, permissions, evaluation, observability, failure behavior, and human gates. This room also links directly to F117, F114, F118, F119, F37, F32, and F36 so an engineering team can inspect the underlying reference architectures.
Open the implementation guide →