elevating customer experience w/ conversational AI
summary
Farmers builds a cloud chat system using Amazon Lex, Lambda, API Gateway and SNS layered over an existing web chat platform, starting with FAQ-style, high-volume/low-complexity flows and menu-based guidance before expanding to free‑flow and Alexa voice reuse. Deployment runs for ~2.5 years across 45,000 agents and 15M policies, tracks average handle time and containment (partial vs full), uses an 80/20 utterance split for automated regression tests, and hands off to a CSR when fallback triggers to preserve CX.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 0:57Agenda
- 1:45Business drivers
- 5:30Use cases
- 9:55Collaboration
- 14:14Design Approach
- 16:23Collaboration Skills
- 25:27Detailed Architecture
- 30:42Testing
- 35:38Learnings
- 39:10QA
- 42:58Business implications
- 46:40Questions
related talks
47mBuilding sophisticated conversational AI experiences
30mCreate sophisticated conversational experiences using Amazon Lex
31mSeamless Customer Service with Amazon Connect & Alexa
20mAWS On Air ft. Automated chatbot designer in Amazon Lex
39mPotencie su centro de contacto con la inteligencia artificial
36mGENAI-Powered chatbot to increase team efficiency
32mHarnessing Large Language Models for Enhanced Customer Experience
32mIncrease productivity and satisfaction with an intelligent contact center
