Welcome back to Fintech Takes. I’m Alex Johnson, joined by David Snitkof (GM of SMB at Ocrolus) to explore one of my all-time favorite topics in financial services: small business lending.
Consumer lending is basically homogeneous. People move through predictable life stages, and underwriting comes down to assessing reliability and capacity. Small business lending is nothing like that. Understanding a business well enough to safely lend to it requires context, and context is expensive, which is exactly why small businesses have been underserved by credit for as long as I’ve worked in financial services (the context margin paradox, if you will).
So, can AI finally resolve the tension between personalization and scale for SMBs?
We dig into:
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Why SMBs get caught in the middle between bespoke commercial underwriting and mass-market, and how lenders have tried to cost-engineer their way out of it
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Why cash flow underwriting shines for SMBs
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Why the underwriter of the future might be silicon-based instead of carbon-based
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How AI agents could work both sides of the table: helping owners seek the right credit at the right time (and on the right terms), while lenders deploy agents across underwriting, fraud, servicing, and collections
Tune in to explore why SMB credit has been so hard to get right, and why that might be changing.
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This episode is brought to you by Ocrolus.
Better lending starts with better intelligence. A borrower’s cash flow only tells half the story, so Ocrolus fills in the rest with behavior signals and industry benchmarking. Visit https://www.ocrolus.com/ for more.
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