Intellica Agents · Operational intelligence

Your plant already has data. Now it can answer.

Industrial agents that investigate efficiency losses, anticipate failures, and explain every recommendation with real evidence from your operation.

People remain in controlSCADA · Historians · CMMS · ERP
intellica / agentsSystems connected
New operational questionWhat needs attention before the next shift?
01 / EfficiencyOperational Agent

OEE, speed, and root cause

02 / ReliabilityMaintenance Agent

Wear, TTF, and intervention window

Evidence coverage92%
01Operational Agent · OEE

Understand every loss. Act on the cause.

Turns scattered SCADA, historian, and production data into clear explanations about availability, performance, and quality. No dashboard hopping.

  • Root cause and loss waterfall in seconds
  • Capacity impact and units not produced
  • Recommendations backed by real telemetry
Operational Agentlive
Line 3 · Morning shift82.4%6.2% vs. previous shift
OEE82
Availability91.2%
Performance94.8%
Quality95.3%
Main loss detectedMicro-stops · Packer 2
−5.2%
Loss waterfallNominal capacity vs. actual production
06:00—14:00
100%Available
−7.1%Downtime
−6.3%Speed
−4.2%Rejects
82.4%Actual OEE

Illustrative example · The interface is configured with each plant’s variables, rules, and systems.

02Maintenance Agent · PdM

Anticipate failure. Choose when to act.

Models degradation curves by connecting condition sensors with maintenance history. Ask directly for Time To Failure and turn risk into a practical action window.

  • Visible remaining useful life and confidence
  • Optimal window based on the next scheduled stop
  • Work order draft for human review
Observed assets2
Condition IoT + SAP PM
Maintenance Agentlive
Preventive attention
Selected asset

Feed Pump B-101A

Expected TTF14 days
Failure probabilityProjection at continuous 90% flow
89% confidence
Hoy8 días14 días21 días
Suggested intervention windowTuesday 12 · Scheduled shutdown
−95% risk
Vibration3.8 mm/s
Temperature+6°C
Estimated wear78%

Illustrative example · Predictions depend on the quality, continuity, and context of available data.

End-to-end traceability

No answer without evidence.

Every conclusion retains its sources, period, freshness, and confidence limits. Review how the agent reached a recommendation before approving it.

01Authorized sourcesSCADA, historian, CMMS, and manuals
02Verifiable analysisRules, calculations, and operational context
03RecommendationSuggested action with estimated impact
04Human approvalOperations retain authority
Sufficient evidence coverage92%
SAP PM · WO #40291 · OSIsoft PI · TMP_102 · Manufacturer manual · v3.1
Operational assessment · 30 minutes

Which decision should your agent answer first?

We assess your OT/IT sources, select one high-impact operational problem, and define the right agent for a first pilot.

Schedule an operational assessment