Legacy chatbot to NLP-powered Einstein Bot

The challenge

Legacy bot being retired with weak NLP accuracy, low F1 score, and poor intent detection. Customers frequently routed to wrong queues. High dependency on manual intervention.

System complexity

This $1.2B publicly listed fintech company had a legacy chatbot that was being retired. The existing bot had weak NLP accuracy (low F1 score), poor intent detection, and frequently routed customers to wrong queues and agents. The migration to Enhanced Einstein Bot required rebuilding the entire conversational AI layer while maintaining service continuity for a high-volume customer support operation.

Key technical challenges included implementing NLP-driven interactions with improved training phrases, building custom Pre-Chat Lightning Web Components, integrating into Embedded Service Deployment for the Community Direct Site, and designing a robust fallback strategy for edge cases.

What we built

• Migrated to Enhanced Einstein Bot with NLP-driven interactions
• Implemented self-service flows for common issues
• Built custom Pre-Chat LWCs integrated into Embedded Service
• Structured fallback strategy with improved routing rules

The outcome

• Significant improvement in F1 score and NLP accuracy
• Drastically fewer misrouted conversations
• Self-service for basic issues reducing chat volume
• Modern, consistent bot experience

Technologies: Service Cloud, Einstein Bot, NLP, LWC, Experience Cloud