Service Operations AI Transformation
Multi-agent architecture for field service with intelligent triage, knowledge retrieval, and workflow orchestration across CRM and field service systems.
01 Challenge
Field service operations generate high volumes of service requests that need triage, knowledge retrieval, and coordination across multiple systems. That created response delays and inconsistent handling across the service team.
02 Solution
DesIDEA designed a multi-agent AI architecture for service operations: an intelligent triage agent classifies and prioritizes incoming requests; a knowledge retrieval agent surfaces documentation, past case history, and resolution guidance using RAG; workflow orchestration coordinates handoffs between the AI system, field service management platforms, and CRM.
Triage agent
Classification, priority assignment, and initial diagnosis.
Knowledge agent
RAG retrieval from docs and case history.
Orchestration
Workflow routing between agents and enterprise systems.
Integration
Field service management, CRM, and knowledge base.
03 Approach
- Separate triage, knowledge, and orchestration so each agent has a clear job
- Ground recommendations in service documentation and prior cases with RAG
- Coordinate handoffs into existing field service and CRM platforms
- Keep humans in the loop for complex or high-risk service decisions
Technologies: Multi-agent AI, RAG, field service integration, CRM integration, workflow orchestration.
04 Impact
- Faster, more consistent triage across high-volume service requests
- Relevant knowledge and case history surfaced at the point of work
- Orchestrated handoffs that reduce manual coordination across systems