Why Judge LLMs Matter for AI Guardrails in Debt Collection | Ep. 6
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Can you trust AI without someone watching it?
Karan Sood of EXL explains why the future of enterprise AI isn't about building bigger models, but smarter systems. Learn how Judge LLMs, multi-agent AI architecture, and prompt guardrails work together to validate responses before consumers ever hear them.
From AI models evaluating other AI models to modular system design, this conversation explores the architecture that enables compliant conversational AI.
Listen now and subscribe for more Applying AI episodes with host Adam Parks and co-host Mike Walsh.
Applying AI Podcast:
https://receivablesinfo.com/applying-ai/judge-llms-ai-guardrails-exl-karan-sood
EXL:
https://www.exlservice.com/
Karan Sood on LinkedIn:
https://www.linkedin.com/in/karansood7/
Mike Walsh on LinkedIn:
https://www.linkedin.com/in/mike-walsh-b88b271/
ai guardrails for debt collection,
judge llm architecture,
compliant conversational ai,
intent classification for ai agents,
multi-agent AI architecture,
customer intent recognition,
ai governance,
enterprise ai,
debt collection technology,
applying ai podcast
#AIGuardrails #CompliantAI #AIinCollections #DebtCollection #EXL #KaranSood