Outcreating Field Service Complexity with Intelligent Operations at Scale for a Global Infrastructure Leader

Our Client

Our client is a leading global infrastructure organization managing more than $25 billion in assets across 100+ countries. It provides utility, modular housing, and logistics services to more than 1.6 million customers. As service demands grew, the organization needed to modernize field operations while supporting broader infrastructure and sustainability initiatives. It partnered with LTM to create a connected, data-driven service ecosystem that could improve workforce efficiency, operational visibility, and customer experience at scale.

Industry Trends

Infrastructure, utilities, and energy organizations are modernizing field service to improve workforce productivity, operational resilience, and customer experience. AI-enabled scheduling, connected field execution, real-time visibility, and mobile-first experiences are replacing manual dispatch and spreadsheet-driven processes. At the same time, organizations are under pressure to improve safety, reduce service interruptions, optimize assets, and respond faster. Intelligent field service platforms are helping enterprises combine AI, automation, and real-time orchestration to create more responsive and scalable operations.

Challenges

The client's legacy field-service environment struggled to support a globally distributed workforce operating in critical infrastructure environments.

• Limited field connectivity: Technicians often worked in remote locations with limited or no cellular connectivity. Critical tasks had to be documented manually and entered later, creating delays, inaccuracies, and compliance risks.
• Lack of operational visibility: Business teams relied on delayed and fragmented data. Manual reconciliation slowed reporting and affected downstream activities such as billing and customer communication.
• Inefficient dispatch and scheduling: Dispatch teams lacked real-time visibility into technician skills, certifications, travel conditions, SLAs, and work priorities. This led to inefficient scheduling, avoidable truck rolls, and lower first-time resolution rates.
• High administrative burden: Skilled technicians spent significant time on administrative activities instead of core service delivery, limiting workforce productivity and service capacity.
• Scalability constraints: The existing operating model lacked the flexibility, automation, and intelligence needed to support future growth and sustainability initiatives across the global footprint.

LTM Solution

LTM partnered with the client to reimagine field service through an intelligent, connected platform powered by Oracle technologies.

LTM implemented Oracle Fusion Service, Oracle Field Service (OFS), and Oracle Integration Cloud (OIC) to connect customer service, dispatch, mobile field operations, and enterprise systems. This Oracle Field Service implementation created a connected foundation for intelligent scheduling, field execution, and operational orchestration.

The solution included:

• Offline-capable field applications: Custom experiences built with the Oracle JavaScript Extension Toolkit (OJET) enabled technicians to complete Job Hazard Analyses, capture labor and equipment time, and perform critical tasks without network connectivity. Data was securely stored locally and synchronized when connectivity was restored.
• AI-driven scheduling: Intelligent scheduling aligned resources based on technician skills, certifications, geography, SLA commitments, and work priorities. This enabled dispatch teams to optimize assignments and improve workforce utilization.
• Smart Work Filtering Engine: The engine dynamically prioritized technician activities based on service urgency, regulatory obligations, and customer commitments, helping field teams focus on the work that mattered most.
• Proactive platform monitoring: Automated health-check bots monitored the integration landscape, identified known failure patterns, and triggered ServiceNow incidents before issues affected business users. This strengthened platform stability and operational resilience.

Together, these capabilities created a connected field-service ecosystem that improved service execution while providing a scalable foundation for future operational growth.

Business Outcomes

• 133% increase in resource utilization: AI-driven scheduling and intelligent work orchestration improved workforce efficiency and assignment effectiveness.
• 95% billing accuracy: Improved field data and operational visibility reduced billing errors and manual reconciliation.
• 20% improvement in customer satisfaction: Faster, more predictable, and higher-quality service delivery improved the customer experience.
• 8–15% reduction in customer inquiries: Better operational visibility and communication reduced status-update requests and related customer interactions.
• 100% digital capture of pre-job safety checks: Digital field processes strengthened safety compliance and improved audit readiness.
• Improved workforce productivity: Reduced administrative effort enabled technicians to spend more time on value-generating service activities.
• Greater operational resilience: Proactive monitoring and automated incident management created a more stable and responsive service environment.
• Scalable field-service foundation: The connected platform created a foundation for future infrastructure modernization, business growth, and sustainability initiatives.

Conclusion

LTM helped the client Outcreate traditional field service by establishing an intelligent operating foundation built for scale. With connected workflows, AI-led orchestration, and resilient field execution embedded into daily operations, the organization can now adapt its service model as business needs evolve. This foundation positions the client to accelerate future automation, strengthen asset-led operations, and support its broader infrastructure and sustainability ambitions.