Field Services Operations

Turn Field Services into a revenue engine with agentic AI

When technicians get real-time knowledge and guided resolution workflows at the point of service, organizations see faster issue closure, fewer truck rolls, measurable cost reductions, and higher customer trust through better, more reliable outcomes.
35%
increase in first-time-fix rate
40%
increase in mobile
worker productivity
25%
decrease in truck rolls
75%
improvement in
parts availability and
forecast accuracy
THe shift

From reactive service delivery to predictive performance

Top Field Service challenges today

Downtime and service delays that erode customer trust and SLA performance
Low first-time-fix rates leading to repeat visits and higher cost-to-serve
Technicians lack real-time, contextual knowledge (manuals, history, and telemetry are fragmented)
Reactive maintenance and late issue detection that drives unplanned dispatches
Heavy manual coordination and escalations across dispatch, support, and engineering

Outcomes we enable with AI-infused Field Operations

Faster issue resolution (lower MTTR and shorter onsite repair time)
Higher First-Time-Fix rates (fewer repeat visits and truck rolls)
Improved technician productivity (more jobs closed per day, less time spent searching for info)
Proactive maintenance and reduced downtime (more planned work, fewer surprise outages)
Lower cost-to-serve (reduced overtime, fewer escalations, better parts/dispatch efficiency)
Better operational governance and visibility (clear dashboards for performance, quality, and ROI)
What We Run

AI-infused Field Service transformation

Four execution-led AI solutions that shift field operations from reactive service delivery to predictive, productivity-driven, and outcome-focused performance.

AI-Driven Service Intelligence & Guided Resolution

Embed AI into field interactions to deliver real-time contextual guidance, intelligent parts recommendations, and standardized resolution workflows that reduce MTTR by 40% and improve first-time-fix rates by 35%.

Predictive Maintenance & Proactive Service Orchestration

Enable AI-powered failure prediction and automated service triggers that shift operations from reactive dispatch to proactive maintenance, improving uptime by 60% and SLA performance by 90%.

Intelligent Dispatch, Scheduling & Workforce Optimization

Use AI-driven orchestration to optimize technician assignment, routing, and workload balancing, increasing tasks-per-day productivity and improving on-time service delivery by 80%.

Parts Intelligence & Service Supply Chain Optimization

Apply AI to correlate service data and BOM intelligence to ensure the right part is identified and fulfilled the first time, reducing repeat visits and lowering cost-to-serve by 40%.

Agentic AI in Action

Field service operations with intelligence embedded at every layer

Human expertise handles complex repairs and customer relationships. AI handles dispatch optimization, predictive maintenance, parts logistics, and performance tracking.

Agentic Technician Co-Pilot

The right tech. The right job. The right time.

Data sources - Dynamic dispatch optimizing by workload, proximity, skills, SLA urgency, traffic, and variability. Work order queues, technician GPS/location data, skill/certification matrices, SLA definitions, traffic/weather APIs, historical job duration data, cancellation patterns, and fleet telematics drive intelligent dispatch.

Platform & Integration - ServiceNow FSM, Salesforce Field Service, SAP FSM, Oracle Field Service, ClickSoftware, Samsara, Google Maps Platform, and HERE Technologies orchestrate optimal routing.

On-time arrival ↑ 10-15%
Workload rebalancing ↑
Skill matching ↑
Route optimization ↑
Schedule compliance >95%

Agentic Parts & Inventory Intelligence

Right part. Right place. Before they need it.

Data sources - AI-driven demand forecasting, auto-replenishment, and dynamic inventory routing. Parts consumption logs, BOM/FRU databases, warehouse/depot inventory levels, work order history, equipment failure patterns, supplier lead times, and technician trunk stock data predict and position inventory intelligently.

Platform & Integration - SAP MM/WM, Oracle SCM, ServiceNow FSM, Salesforce Field Service, NetSuite, Manhattan Associates, and Blue Yonder integrate for parts optimization.

Right-part-first >90%
Emergency orders <10%
Regional stocking ↑
Auto-restocking ↑
Parts returns ↓

Agentic Predictive Maintenance

Fix it before it breaks. Schedule it before it's urgent.

Data sources - IoT sensor data, telemetry, and failure patterns forecasting equipment issues for proactive intervention. IoT sensor streams, SCADA/PLC data, equipment telemetry APIs, historical maintenance records, failure/RCA logs, environmental data (temperature, humidity), and asset lifecycle records feed predictive models.

Platform & Integration - Azure IoT Hub, AWS IoT Core, GE Predix, PTC ThingWorx, Siemens MindSphere, OSIsoft PI, ServiceNow FSM, and Maximo enable proactive service.

Unplanned downtime ↓25%
Uptime >95%
MTBF ↑
Preventive ratio >70%
Remote diagnostics ↑

Agentic Field Service Assurance

The customer knows before they call.

Data sources - Proactive customer communication, automated reporting, QA workflows, and performance analytics. Work order status feeds, technician GPS/progress data, SLA timelines, customer contact preferences, post-visit survey responses, QA audit results, and invoice/billing data enable transparent service execution.

Platform & Integration - ServiceNow FSM, Salesforce Field Service, Twilio, SendGrid, Qualtrics, Power BI, Tableau, SAP FSM, and Oracle Field Service deliver proactive customer experience.

Proactive SLA alerts
CSAT ↑10-20%
Report accuracy >98%
Post-visit QA ↑
Invoice accuracy >99%
Industries

Anchored where product velocity and quality determine market position

High-Tech / SaaS

Agentic Field Operations embed intelligence into deployment, maintenance, and support workflows — ensuring faster installs, proactive issue detection, and reduced service friction across distributed customer environments.

Retail

Store uptime and fulfillment reliability directly impact revenue, brand trust, and customer retention. AI-driven dispatch, predictive maintenance, and parts optimization reduce truck rolls, protect peak season performance, and prevent revenue loss from in-store or logistics downtime.

Impact

What this looks like in practice

Outcomes from our enterprise clients. Not pilots. Production operations.
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Faster reconciliation cycles. Audit-ready accuracy. Stronger financial governance across retail footprint.

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RevOps

Commercial OEM streamlines sales operations with unified CPQ and OmniStudio

Reduced manual effort. Improved pricing accuracy. Unified, efficient workflow across regions.

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ServiceOps

UK telecom leader transforms customer support for millions with ServiceNow CSM

Boosted agent productivity. Improved journey visibility. Faster, reliable support at scale.

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RevOps

Leading social media platform unlocks revenue accuracy with finance automation

Reduced reconciliations and month-end delays. Improved forecast accuracy. Scalable revenue management.

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AI Operations

Enterprise facilities management accelerates automation discovery with Agentic AI

Streamlined discovery. Cut turnaround time. Roadmap for scaling automation in complex operations.

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Retail Tech Leader Achieves 92% AI Accuracy, 28% Fewer Escalations, and 50% Faster Onboarding with Agentic AI-led Field Service

Learn how a retail tech leader used agentic AI-led field service to reach 92% AI accuracy, reduce escalations by 28%, and accelerate onboarding by 50%

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Field Services Reimagined Through Innovation: Agentic AI-infused CX for Speed and Cost Optimization

Discover how Agentic AI transforms field services for speed, cost optimization, and strategic growth.

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Ready to explore?

Let's see what this model looks like for your field services operations.

No roadmap. No research project. A conversation about where adoption stalls, what defects you're discovering too late, and whether intelligence can close the loop faster. That's where we start.

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