Fix it on the first visit. Capture the knowledge for the next one.
The agentic execution layer for industrial field operations — briefing technicians before the visit, guiding resolution on site, and producing audit-ready records automatically. Fewer repeat interventions, faster resolution, and field intelligence that compounds with every job.
Field operations break down where it matters most — during execution.
Alerts come from one system, context from another.
Critical decisions rely on individual experience.
Reporting happens after the job, when it's too late.
Not an FSM. Not a chatbot.
Execution.
From first signal to closed work order
Understand the problem instantly
Error codes & live signals
Real-time equipment data the moment a job is dispatched.
Service history
Prior fixes, parts, and notes — instantly relevant.
Contract & entitlement visibility
Know what's covered before you arrive.
Recommended next steps
Suggested resolution paths based on context.
<60s
Context briefing generated per dispatch
1
Unified view across IoT, history, manuals & contracts
↓
Built to reduce repeat interventions
9:41FieldServe
In the moment
Now
Alert: Coolant pressure drop detected on Pump P-204.
Likely cause: gasket failure at flange F-3.
Recommended: isolate, depressurize, replace gasket per procedure GSK-204.
A notification with the full briefing for the affected unit — before the visit, not a report after it.
Fix it with guidance
Context-aware instructions
Step-by-step guidance built around the asset in front of you.
Manuals & expertise on demand
Pull the right document or spec without leaving the job.
Real-time adjustments
Workflow adapts as new readings and inputs arrive.
Fewer escalations
Resolve more on the first visit, on your own.
↑
Higher first-time fix rate
↓
Shorter resolution times
✓
Less cognitive load on technicians
On site · Step 3 of 5
Live
Tech: Confirmed leak at flange F-3 — gasket is shot.
Agent: Use GA-3041 (kit slot 4). Torque to 85 Nm in star pattern. Pressure test 02.A after.
Flange F-3 — Pump P-204
Next: Pressure test 02.A — verify seal at 6 bar
Live guidance that adapts to what the technician finds — voice in, the right next step out.
Capture the job properly
Work performed
Auto-summarized from your guided steps.
Parts & tests
Components used and tests completed, captured automatically.
Photos & video proof
Visual evidence attached to the right step in the job.
Audit-ready report
Every job complete, documented, and ready to bill.
Audit-ready
Every report, every job
Auto-captured
Parts, tests, photos & time logs
Continuous
Knowledge fed back into the platform
Debrief · Auto-captured
47 min
Work performed:
Replaced flange gasket GA-3041 on Pump P-204.
Tests:
Pressure stable at 6.0 bar after restart ✓
Evidence:
2 photos, 1 short video
Time on site:
47 min
Video:
Live readout — Pump P-204
Photos:
A complete work record built from voice on site — billable when the technician leaves, not transcribed after the fact.
Enterprise Foundation
Engineered where uptime is non-negotiable
FieldServe was engineered for enterprise field operations where downtime is measured in lost production, not inconvenience. It runs agentic AI on a governed, real-time data foundation in Microsoft Azure and is built to reduce repeat interventions, accelerate resolution, and turn every visit into reusable field intelligence.
Built on Microsoft Azure
Governed real-time operational data foundation
MCP
Secure system orchestration — no vendor lock-in
Audit-ready
Documentation captured by default
The same architecture — agentic AI, governed real-time data, and an operational learning loop that improves with every visit — is what we configure for manufacturing, facility services, food & beverage, logistics, utilities, and industrial maintenance.
Voice-native, not voice-added. A purpose-built voice runtime — STT, TTS, turn detection, live voice session state — captures every debrief. Resolutions, parts patterns, and edge cases become context the next technician sees automatically — not tribal knowledge stuck in one team's head.
Resolution patterns surfaced across the operation
Edge cases captured once, available everywhere
Standardized quality across regions and teams
Why this is different
Built to act, not to record
Legacy systems
FieldServe
Focus
Store and manage work
Execute work in real time
Interaction
Manual input
AI-guided execution
Intelligence
After-the-fact analytics
Live operational guidance
Knowledge
Lost in reports
Captured and reused automatically
Delivery
Vendor's web UI only
Web, native mobile, embeddable SDK
Focus
Legacy systems
Store and manage work
FieldServe
Execute work in real time
Interaction
Legacy systems
Manual input
FieldServe
AI-guided execution
Intelligence
Legacy systems
After-the-fact analytics
FieldServe
Live operational guidance
Knowledge
Legacy systems
Lost in reports
FieldServe
Captured and reused automatically
Delivery
Legacy systems
Vendor's web UI only
FieldServe
Web, native mobile, embeddable SDK
Where it runs
Use it where your teams already work
Web console
Full FieldServe in the browser — for dispatchers, supervisors, and back-office review.
Native mobile
iOS and Android apps for technicians on site. Offline-aware, voice-driven, built for gloves and noisy floors.
Embeddable SDK
Drop the FieldServe agent into the tool your teams already use — chat or voice, no new app to roll out.
Platform
Built for real-world service
Intelligent Service Agents
Agents that read live equipment data, prior service history, manuals, and contracts to recommend the right action — before, during, and after the job. Each visit feeds a learning loop, so the next technician arrives with sharper context. Configurable per asset class.
Unified Service Context
A real-time data foundation across IoT, digital twins, ERP/CMMS, manuals, and entitlements — connected via the Model Context Protocol (MCP). Telemetry flows through Azure IoT into governed analytics on Azure Databricks. Bring your own tools and systems — no vendor stack lock-in. The platform discovers and routes to them through a governed resolver. One source of truth, not five tabs.
Embedded Execution Tools
Mobile-first guidance, validation, and reporting in a single workflow. Voice-driven debriefs turn into structured records automatically. Audit-ready by default.
The combination is the moat
Workflow orchestration with human wait states. An agent runtime with schema-validated outputs. A purpose-built voice runtime. Governed tool execution via MCP. Each piece exists somewhere in the market. The combination — built for field service — does not.
If your field teams are working across disconnected systems, the problem isn't productivity. It's operational readiness.
We'll assess your current workflow, identify where data and decisions break down, and show you what FieldServe looks like configured for your assets and your teams.
