Overview
An enterprise aimed to improve service efficiency and reduce dependency on experienced technicians by enabling faster troubleshooting and knowledge access.
The objective was to reduce time-to-onboard, improve first contact resolution (FCR), and lower average handle time (AHT) while maintaining high customer satisfaction.
Challenge
Service and troubleshooting workflows were heavily dependent on human expertise:
- Knowledge scattered across manuals, systems, and experienced technicians
- Long onboarding time for new service staff
- High average handle time due to manual diagnosis and information lookup
- Low first contact resolution for complex issues
- Inconsistent troubleshooting approaches across teams
This resulted in slower issue resolution, higher operational costs, and inconsistent service quality.
Solution
- A GenAI-powered service assistant was deployed to provide contextual, real-time troubleshooting support:
- Context-Aware Troubleshooting Guidance
Provides step-by-step resolution based on issue, equipment, and history - Unified Knowledge Retrieval
Aggregates manuals, service logs, and historical cases into a single interface - Interactive Diagnostic Flows
Guides technicians through structured problem-solving workflows - Natural Language Query Interface
Enables technicians to ask questions and get precise, actionable answers - Learning from Historical Cases
Continuously improves recommendations using past resolutions and outcomes - Mobile & Field Integration
Supports technicians on-site with real-time assistance
- Context-Aware Troubleshooting Guidance
KPIs Impacted
- Time-to-Onboard
Reduced by enabling faster learning and guided troubleshooting - Average Handle Time (AHT)
Lowered through faster diagnosis and resolution - CSAT (Customer Satisfaction Score)
Improved through quicker and more consistent issue resolution - First Contact Resolution (FCR)
Increased by resolving more issues in the first interaction
Results
- 30–50% reduction in time-to-onboard
- 20–40% reduction in average handle time
- 10–20% improvement in CSAT
- 15–30% increase in first contact resolution
Business Impact
- Reduced dependency on senior experts for routine and mid-complexity issues
- Faster onboarding and scaling of service teams
- Improved consistency in troubleshooting and service delivery
- Lower service costs with higher efficiency
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