Beyond Banks by Cobalt Intelligence
In this episode, Jordan sits down with Ali Kidwai, Director of Product & Engineering at Bectran, to get the tactical, no-fluff answers. Ali provides a masterclass on how Bectran built a resilient platform that now processes billions in B2B credit weekly. This is a granular, "in-the-trenches" breakdown of how to apply AI to the real friction points of lending. In This Episode, You Will Learn: ✅ How to use AI in collections to tell the difference between a high-risk client and a good, predictable "slow-payer"—and why this is key to protecting your margins. ✅ The tactical use of AI to catch document fraud before it hits an underwriter’s desk (e.g., flagging a name mismatch like "Jordan's Bar" vs. "The Lease Bar" on a tax cert). ✅ The three engineering and philosophical tenets that kept Bectran alive—and growing—while technology shifted beneath their feet. ✅ Why Bectran’s success is built on a "configurable workflow," not a static "black box score," and how this allows them to manage risk for millions of customers at scale. ✅ The brilliant internal AI Bectran built to transcribe customer meetings and automatically create engineering tickets—a solution to product roadmaps being driven by politics instead of data. Here's your video guide 00:00 - Introduction and partnership overview 00:50 - Ali's background and journey to BECTRAN 02:20 - What is BECTRAN and B2B credit 02:30 - Real-world example: How business credit works 04:40 - The complete order-to-cash lifecycle explained 06:15 - Handling disputes and deductions in B2B 08:00 - Ali's career evolution at BECTRAN 15:30 - Integration challenges and technology solutions 22:00 - Building vs buying technology solutions 29:55 - AI in business and everyday life 31:00 - Ali's personal AI automation project 32:15 - Concerns about AI over-reliance 33:05 - Data privacy and security approach 33:45 - Where to find Ali and closing thoughts The Ali Show Apple Podcast: https://podcasts.apple.com/us/podcast/the-ali-show/id1763081896 Youtube Podcast: https://www.youtube.com/playlist?list=PLVUAZX5JVjhSHeVLC2K0_1-nu5S2MxiAl
31 episodios
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