Service execution
thatworks in practice.
TriageOS helps industrial field service teams reduce repeat dispatches by identifying missing evidence, required parts, and the right technician before rollout.
1 in 4 dispatches fails first visit. ~€900 cost per repeat visit.
-40%
Repeat Visits
94%
Triage Accuracy
6×
Faster Pre-Dispatch
PRE-DISPATCH WORKFLOW
Stop guessing between ticket and dispatch
TriageOS sits between ticket creation and technician dispatch, helping teams decide if a job is ready — or what's missing.
Issue detected
Machine telemetry surfaces a fault in real time.
Context created automatically
Diagnostics, History, and Recommended Actions are bundled into a service ticket.
Correct dealer engaged
The right dealer is notified with full context and routing details.
Technician arrives prepared
Tools, parts, and guided procedures are ready before arrival.
Resolution tracked and shared
Outcomes flow back to OEMs and dealers to drive continuous improvement.
USE CASES
Built for industrial service teams.
TriageOS is built for service teams that work under uptime pressure, SLA commitments, and repeat-visit risk.
USE_CASE_01
HVAC service teams handling critical facility uptime
A regional HVAC service organization handling commercial facilities receives urgent fault tickets with incomplete information.
- Identify missing evidence before dispatch
- Determine whether remote resolution is still possible
- Recommend technician skill profile and likely spare parts
- Reduce repeat visits that put SLA commitments at risk
EXAMPLE DEPLOYMENT PROFILE
Mid-sized service provider supporting hospitals, research facilities, and commercial buildings under response-time SLAs.
USE_CASE_02
OEM service teams supporting installed industrial equipment
A mid-sized machine builder receives support cases from installed machines across multiple customer sites. Service engineers must decide quickly whether a technician should be sent, often with limited diagnostic evidence.
- Assemble machine and service context automatically
- Retrieve similar historical cases
- Score diagnostic readiness before dispatch
- Prepare the first visit with recommended technician profile and likely parts
EXAMPLE DEPLOYMENT PROFILE
European machine builder supporting a field-installed base of CNC and industrial equipment.
TRIAGEOS
From diagnosis to dispatch preparation.
TriageOS assembles machine context, identifies missing evidence, and prepares the full dispatch decision — including technician profile and parts recommendation.
CAPABILITY_01
Feature Extraction
Novel algorithms extract meaningful signals from raw sensor outputs.
CAPABILITY_02
Data Quality Check
Completeness . Noise detection . Outlier removal
CAPABILITY_03
Health Indicator
Formed into a single meaningful indicator
CAPABILITY_04
Current Health (Diagnostics).
Healthy: operating with normal parameters • Degrading: attention recommended • Faulty: action required.
CAPABILITY_05
Prognostics • Damage Prediction.
Forecast the trajectory of degradation.
WHY TEAMS USE IT
Why service teams use TriageOS.
REASON_01
Avoid blind dispatch
Make dispatch decisions based on evidence, not guesswork.
REASON_02
Improve first-time-fix
Send the right technician with the right parts.
REASON_03
Protect SLA commitments
Reduce repeat visits and escalations.
REASON_04
Capture service knowledge
Turn every case into reusable diagnostic knowledge.
EXAMPLE SCENARIOS
Example service scenarios.
Commercial cooling alarm at a healthcare facility
A critical HVAC fault is reported with limited initial detail. TriageOS identifies missing evidence, recommends remote verification steps, and determines whether the case is ready for dispatch under SLA pressure.
Spindle alarm on installed production equipment
A machine builder receives a recurring controller alarm from a customer site. TriageOS assembles prior service history, retrieves similar incidents, and recommends whether onsite service is required and what should be prepared before the visit.
DISPATCH INTELLIGENCE
Know when dispatch is risky.
TriageOS scores every case for repeat-visit risk before a technician is committed. Service managers see a clear, evidence-based signal — not a gut call.
Dispatch Risk Assessment
CAS-4891Repeat Visit Probability
Missing Evidence
Recommended Step
DOCUMENTED RESULTS
The cost of getting dispatch wrong.
McKinsey's 2025 research documents consistent, measurable improvements across industrial service organizations that have deployed AI-assisted diagnostics at scale.
+50%
First Contact Resolution
MCKINSEY — SCALING GEN AI IN AFTERMARKET & FIELD SERVICES (2025)
30m<1m
Troubleshooting time per case
MCKINSEY ASCENDUM CASE STUDY
+40%
Technician capacity increase
MCKINSEY OPERATIONS RESEARCH
€5M+
Annual operational savings
MCKINSEY TRUCK OEM DEPLOYMENT
10–30%
Productivity improvement
MCKINSEY FIELD SERVICE AI ANALYSIS
WORKFLOW INTEGRATION
Works with existing service platforms.
TriageOS sits between ticket creation and dispatch decision. It integrates into your existing service infrastructure — no workflow disruption required.
Without TriageOS
Ticket Created
INCOMPLETE ALARM DATA
Manual Assessment
ENGINEER INTERPRETS ALONE
Blind Dispatch
NO ROOT CAUSE CONFIRMED
Repeat Visit
40% RETURN RATE
Service Platform Layer
With TriageOS
Ticket Created
ALARM + CONTEXT INGESTED
TriageOS Analysis
EVIDENCE GATHERED AUTOMATICALLY
Verdict Issued
REMOTE OR DISPATCH + RISK SCORE
Informed Dispatch
FIRST-TIME FIX RATE IMPROVED
Service Platform Layer
CONTINUOUS LEARNING
Improves with every service case.
TriageOS learns from every resolved incident. It builds a structured diagnostic memory of machine failures, creating an institutional knowledge base that grows more precise with each case.
Knowledge Base — CNC Spindle Failures
Cases
847
Accuracy
96%
Patterns
23
Top Failure Patterns
PILOT PROGRAM
Start with a focused pilot.
Run TriageOS on one machine family and measure impact on repeat visits and dispatch decision quality in 6–8 weeks.
6–8weeks
Pilot duration
100cases
Service cases analyzed
1family
Machine family
2KPIs
Repeat visits & triage time
Ready to measure the impact?
We'll scope a pilot for your service organization within one week.