Desirable.ai Founders Detail Agentic AI’s BFSI Hurdles — SkimNews
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- Prime Venture Partners Podcast hosted Gaurav Ranjan with Desirable.ai founders Uttam and Omkar to discuss building and selling agentic AI in Indian banking and insurance.
- Uttam and Omkar discussed the product-engineering and compliance work required to build agentic-AI offerings for Indian BFSI.
- Gaurav Ranjan explored enterprise sales with the founders, focusing on how agentic-AI products are sold to Indian financial institutions.
- Desirable.ai addressed scaling beyond the first use case as a distinct business challenge for BFSI deployments.
Why it matters: For Indian banks and insurers, the material test for an agentic-AI vendor is whether the offering can address four linked execution issues: product engineering, compliance, enterprise sales and scaling beyond one use case. Desirable.ai’s two founders put those commercial requirements in one discussion, making the evaluation broader than technical capability alone.
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