BaaS Shift Toward Vertical SaaS
Roy Ng, EVP, Chief Business Officer at FIS, on the future of BaaS
This shift says embedded finance is becoming a feature sold into existing software workflows, not a standalone startup category. Bond started with both fintechs and vertical SaaS, but inside FIS it can now sell a fuller stack of issuing, compliance, KYC, KYB, fraud, and bank connectivity to larger software companies that already run an industry workflow and want to add cards, accounts, lending, or payouts without assembling the plumbing themselves.
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Vertical SaaS is attractive because the customer already has distribution. A radiology platform, restaurant system, or field services tool already handles scheduling, billing, or payments, so adding finance is a natural extension of money already moving through the product. That usually makes the sales pitch clearer than selling to an early stage fintech that is still proving its core business.
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The acquisition changed Bond from a startup serving startups into infrastructure for enterprises and banks. FIS brought long standing bank relationships, its own issuer processing, and larger compliance teams. That matters because embedded finance products need tight bank oversight, standardized workflows, and more reporting than a simple API layer can handle.
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This also matches the broader market direction. Recent BaaS winners are either becoming specialized point solutions or getting absorbed into larger platforms with distribution. In that environment, the most durable customers are software companies like Shopify or Toast style platforms that use finance to deepen product value, lift monetization, and capture better customer data.
Going forward, the center of gravity in BaaS should keep moving toward industry software platforms and away from undifferentiated fintech launches. The winners will be providers that can package regulated financial products into simple software modules for vertical SaaS companies, while giving banks and enterprises one system for compliance, money movement, and customer level data.