Justin DiPietro, Co-Founder & Chief Strategy Officer of Glia, shares how they are leveraging AI to enhance the customer experience in the highly regulated world of financial institutions.
Topics Include:
- Glia provides voice, digital, and AI services for customer-facing and internal operations
- Built on "channel-less architecture" unlike traditional contact centers that added channels sequentially
- One interaction can move seamlessly between channels (voice, chat, SMS, social)
- AI applies across all channels simultaneously rather than per individual channel
- 700 customers, primarily banks and credit unions, 370 employees, headquartered in New York
- Targets 3,500 banks and credit unions across the United States market
- Focuses exclusively on financial services and other regulated industries
- AI for regulated industries requires different approach than non-regulated businesses
- Traditional contact centers had trade-off between cost and quality of service
- AI enables higher quality while simultaneously decreasing costs for contact centers
- Number one reason people call banks: "What's my balance?" (20% of calls)
- Financial services require 100% accuracy, not 99.999% due to trust requirements
- Uses AWS exclusively for security, reliability, and future-oriented technology access
- Real-time system requires triple-hot redundancy; seconds matter for live calls
- Works with Bedrock team; customers certify Bedrock rather than individual features
- Showed examples of competitors' AI giving illegal million-dollar loans at 0%
- "Responsible AI" separates probabilistic understanding from deterministic responses to customers
- Uses three model types: client models, network models, and protective models
- Traditional NLP had 50% accuracy; their LLM approach achieves 100% understanding
- Policy is "use Nova unless" they can't, primarily for speed benefits
Participants:
- Justin DiPietro – Co-Founder & Chief Strategy Officer, Glia
Further Links:
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