Ram Venkataraman, CTO & Co-Founder at Sei AI, is revolutionizing AI-driven compliance for financial institutions. Sei AI builds cutting-edge, compliant AI agents that transform customer interactions while optimizing costs.

Their AI-powered voice agents automate support, sales, and activation/reminder calls—boosting customer satisfaction and revenue without increasing contact center expenses. Meanwhile, their QA agent ensures compliance by monitoring customer conversations for regulatory and policy violations, while also extracting deep customer insights.

Sei AI is already trusted by publicly listed and enterprise financial institutions across the US, UK, and APAC, setting a new standard for AI-driven compliance and customer engagement in the financial sector.

Episode Highlights
- Ram shared his extensive background in financial technology, from working at PayPal during its shift from monolith to microservices, to launching Transferwise (Wise) in Australia and New Zealand. His experience in compliance-heavy industries set the stage for Sei AI.
- Sei AI started with a focus on marketing compliance for financial institutions—ensuring that banks and fintech's adhered to CFPB’s UDAP regulations in their advertising. They later expanded into customer support quality assurance, helping financial firms monitor compliance across support calls, emails, and chats.
- Ram detailed how Sei AI leveraged its compliance expertise to build AI-powered voice agents for regulated financial institutions. Instead of just automating calls, Sei AI ensures regulatory guardrails are in place, preventing AI from making misleading statements or omitting required disclosures.
- Discussing AI pricing, Ram highlighted how variable costs in AI (LLM & speech-to-text calls) make traditional SaaS pricing tricky. He explored strategies like enterprise licensing, amortizing variable costs, and outcome-based pricing—charging based on successful customer interactions rather than per API call.
- Sei AI uses an "AI readiness scorecard" to identify predictable, high-confidence use cases first. This phased rollout ensures AI adoption without compromising accuracy, gradually expanding coverage while keeping enterprises comfortable with automation.

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Connect with Ram Venkataraman:
https://www.linkedin.com/in/ramkumar-venkataraman/
https://www.seiright.com/

Connect with Demetrios:
https://www.linkedin.com/in/dpbrinkm/

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