FieldPilot - Agentic AI for Orchestrating Your Entire Field Service Lifecycle
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28%
Drop in helpdesk escalations
100%
Parts lookup accuracy
−15 min
Per on-site repair visit
50%
Faster technician onboarding
12 wk
From contract to production
Operations Manager
Real-time visibility across every active job, site, and SLA.
Field Engineer
AI-guided resolution — right answer, right now, no callbacks.
Capacity Planner
Resource utilization optimized before the schedule breaks.
Senior Leadership
Outcomes tracked, not just activities reported.
AI Administrator
Full governance and control over every agent, every workflow.
Every service visit is a race against SLA, cost, complexity, and customer patience. FieldPilot makes sure you win.
FieldPilot is iOPEX's agentic AI platform built for field service organizations ready to move beyond pilots to full operational transformation.
With 16 orchestrated AI agents, 500+ workflows, and 50+ KPIs across 8 operational segments, it delivers measurable outcomes for every stakeholder, from field engineers to the C-suite.
The coexistence architecture
FieldPilot is the agentic intelligence layer that plugs into the SoR, consumes their data, and runs outcomes the incumbents cannot: smart dispatch, technician copilot, inspection automation, first-time-fix prediction, and compliance.
TCO
Lower total cost of ownership — no bolt-on bloat, no licensing layers.
10–12 Weeks
Time to value. From deployment to outcomes, faster than any incumbent can roadmap.
Zero Dependency
No waiting on Salesforce or ServiceNow's next release to get what your operations need now.
One Platform
Every field service motion — dispatch, copilot, inspection, compliance — in a single platform.
Agentic AI Studio - Accelerate AI agent development at scale
The job is already half-done before the engineer leaves the depot.
FieldPilot pulls diagnostic signals, service history, and real-time asset telemetry to prepare a full picture of what the engineer will encounter — before they arrive.
Predictive Dispatch
Searching part numbers across disconnected systems — before a single repair begins.
Pre-Diagnostic Briefing
Engineers receive a structured brief: likely fault, confirmed parts, step-by-step resolution path — on their device before departure.
Parts Intelligence
Predictive inventory models pre-stage parts at the correct location based on the day's job mix and historical failure patterns.
+18%
First-time fix improvement from pre-visit intelligence
92%
Parts accuracy rate — trucks carry what jobs need
−25%
Reduction in dispatcher workload through automated scheduling
Every engineer has an expert in their pocket. Literally.
FieldPilot's Knowledge Agent surfaces the right resolution path in real time — drawing from service manuals, engineering notes, field history, and live diagnostics as the visit unfolds.
Guided Fault Resolution
Step-by-step diagnostic guidance tailored to the specific asset model, fault code, and service history.
Automated Field Reporting
Voice-to-structured documentation. Engineers speak naturally; FieldPilot creates the service record.
Live Rescheduling
If an onsite visit overruns, the dispatch agent automatically re-optimises the rest of the day's queue.
−30%
Mean time to resolution — onsite duration improvement
−28%
Repeat calls eliminated by correct first-visit resolution
15min
Average admin time saved per visit through voice documentation
Every visit makes the next one sharper.
FieldPilot pulls diagnostic signals, service history, and real-time asset telemetry to prepare a full picture of what the engineer will encounter — before they arrive.
Performance Analytics
Engineer performance, SLA adherence, parts consumption, and resolution patterns — surfaced automatically to operations leadership.
Predictive Maintenance Scheduling
Post-visit sensor data triggers proactive maintenance schedules before the next failure window opens.
Knowledge Enrichment
Resolution steps that worked in the field get captured and surfaced automatically in future similar cases.
+14%
Productivity gain compounds as the system learns your operations
247
Continuous model updating — no manual retraining required
<90
Days from deployment to measurable outcome delivery
Five agents. One unified operation.
Dispatch & Scheduling FieldPilot
Continuously monitors jobs, technician locations, skills, and SLA windows. Detects delays, reallocates resources, and notifies dispatchers before a breach occurs.
↑ Schedule compliance rate
↓ Emergency reassignment rate
↑ On-time arrival percentage
Parts & Inventory FieldPilot
Validates part compatibility before dispatch, tracks van stock and depot inventory, triggers replenishment, and routes parts dynamically to technicians on the move.
100% part number lookup accuracy
↓ Emergency parts orders
↑ Right-part-first-time rate
Diagnostic & Resolution FieldPilot
Continuously monitors jobs, technician locations, skills, and SLA windows. Detects delays, reallocates resources, and notifies dispatchers before a breach occurs.
↑ First-time fix rate
↓ Mean time to repair
↓ Repeat dispatch rate
Knowledge & Documentation FieldPilot
Unifies service manuals, OEM documentation, customer-specific procedures, ticket history, and telemetry into a single retrievable intelligence layer. Logs field activity automatically — voice-to-report, no manual re-entry.
50% faster onboarding
↓ SME dependency
↑ Documentation accuracy
↓ Compliance violations
Predictive Maintenance FieldPilot
Processes IoT sensor data, telemetry, and failure history to forecast equipment degradation — converting reactive emergency calls into planned interventions.
↑ Schedule compliance rate
↓ Emergency reassignment rate
↑ On-time arrival percentage
The questions every
leader asks us first.
Will it survive at enterprise scale?
"We onboarded 1,000 technicians. It held."
FieldPilot runs on ElevAIte — iOPEX's production-grade agentic AI platform. Not a proof-of-concept. Not a pilot. A system that deployed to 1,000 field engineers in 12 weeks and has run in production since, with 92% overall AI accuracy and 100% on parts lookup.
How is this different from our existing FSM tool?
Your FSM records. FieldPilot decides.
ServiceNow, Salesforce FSM, SAP — they are record systems. FieldPilot layers agentic AI on top, connecting to them as data sources while adding reasoning, prediction, and autonomous action that no FSM offers out of the box.
What's the actual integration complexity?
In production in 12 weeks. No rip-and-replace.
FieldPilot connects to your existing stack through pre-built connectors for ServiceNow, Salesforce, SAP, SharePoint, and ERPs. No infrastructure overhaul. The platform ingests your data — manuals, tickets, telemetry, parts catalogs — and goes live alongside your current systems.
Will engineers actually use it?
Voice-first. Biometric login. Under 10 seconds.
Adoption fails when technology fights the field. FieldPilot was designed with field technicians, not just for them — voice-enabled queries, biometric login, mobile-first interface, and responses grounded in trusted documentation with source citations. Technicians stopped calling the help desk because they prefer the tool.
How does iOPEX charge for this?
Outcome-linked. Not per-seat.
Traditional providers earn revenue from truck rolls. We don't. FieldPilot is priced on outcome-linked models tied to asset uptime and SLA performance — so our incentive is the same as yours: fewer visits, faster resolution, lower cost-per-job. Cost commitments decline as the system improves.
What happens when the AI gets it wrong?
Every answer is traced. Every error is corrected.
FieldPilot doesn't guess. Every response links to its source documentation. Confidence scoring runs continuously — low-confidence answers surface for SME review. Technician feedback closes the loop. The system improves with every job completed, not just at scheduled retraining cycles.
FieldPilot is built around how your operation measures success. Define and track your priority KPIs from over 50 metrics across 8 operational segments — Time, Productivity, Customer, Financial, Quality, Parts & Inventory, Dispatch & Scheduling, and Administrative. Every agent, every action, every outcome is mapped to what your business actually cares about.
1,000 engineers.
12 weeks.
Results from month one.
"Our technicians can retrieve this information as quickly as they can speak into the system. This is an absolute game-changer. Across a thousand-person field force — you start to form a picture of the productivity gains."
— Director, Service Innovation & Transformation, Global Retail Technology Provider
100%
Parts number lookup accuracy
28%
Reduction in helpdesk escalations (519 → 372/week)
−15min
Per on-site repair visit
50%
Faster technician onboarding
14%
Productivity gain, top users (3.5 → 4 tasks/day)
92%
Overall AI accuracy from week one
Built for industries
where downtime has a price.
Telecom
Network uptime SLAs. High truck roll cost. Distributed field force across millions of endpoints.
Retail
POS downtime is lost revenue, every minute. Multi-vendor device complexity across hundreds of locations.
Medical Devices
Device failure affects patient outcomes. Compliance and traceability are non-negotiable at every step.
Banking & FinTech
ATM and payment infrastructure failure has regulatory and revenue implications simultaneously.
Utilities
Grid and EVSE service where predictive intervention is the difference between scheduled and emergency.
Powered by ElevAIte
Agentic AI Studio
FieldPilot agents
Knowledge Layer
RAG · Vectors · Telemetry
Enterprise Connectors
ServiceNow · SAP · Salesforce
Governance & Audit
RBAC · Logs · Confidence scoring
Model-agnostic. Your best LLM today — and whatever comes next.
Built for scale. Designed for outcomes. Ready on day one.
Every response links to its source document. Technicians see the manual page, the ticket ID, the procedure number. Nothing is hallucinated.
Confidence scoring and technician feedback create a learning loop that runs in the background. The system improves with every job — no scheduled retraining, no downtime.
New product line. New customer. New OEM device. FieldPilot ingests it through standard connectors and makes it immediately available to the field.
Model monitoring, retraining, accuracy audits, SME review workflows. Your operations team never carries the AI burden — we do.
