Fix faster. Capture everything.
Agentic AI for industrial service operations. Fewer wasted visits, faster decisions on site, and audit-ready documentation — across elevators, manufacturing, F&B, pharma, and machine tools.
Not just answers.
Execution.
From first signal to final report
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.
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.
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.
Reference Deployment
Proven where uptime is non-negotiable
FieldServe is built on the platform behind one of the world's largest field-service operations in vertical transportation — a Fortune 500 operator running agentic AI on a real-time data foundation in Azure. In the first year of structured deployment, the platform helped avoid approximately 20,000 unplanned service visits and reduced callbacks by more than 40% per unit where AI-supported interventions were executed.
The same architecture — agentic AI, governed real-time data, and a learning loop that improves with every visit — is what we configure today for manufacturing, F&B, pharma, and machine-tool service organizations.
Talk to us about your fleetFigures from the first year of structured deployment in the United States at the reference customer. Source on file; customer name withheld at FieldServe's discretion.
Across the Operation
A learning loop that closes after every visit
Voice-guided debriefs and structured post-visit data feed back into the platform's knowledge layer. 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 fleet
Edge cases captured once, available everywhere
Standardized quality across regions and teams
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. Telemetry flows through Azure IoT into governed analytics on Azure Databricks — a trusted backbone that links field service to your operations centers. 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.
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.
* Reference deployment: Fortune 500 vertical-transportation operator, first year of structured deployment in the United States. Source on file.