The banking industry has experienced a decade of transformation driven by the emergence of new payment rails. Following the 2008 financial crisis, cryptocurrencies introduced a new model for value transfer, while more recently The Clearing House (TCH) RTP® network and the Federal Reserve’s FedNow® Service have enabled real-time domestic payments in the United States.
Despite these innovations, ACH remains the dominant payment rail for both consumer and commercial transactions due to its ubiquity, low cost, and broad acceptance. Over the next decade, however, financial institutions will need to support a growing mix of payment rails—including ACH, Same Day ACH, FedNow, RTP, wires, cards, and tokenized deposits or regulated stablecoins—while maintaining operational efficiency and regulatory compliance.
| Payment Rail | 2025–2026 Baseline* | 2035 Potential* |
|---|---|---|
| ACH Volume | 35.2B payments | 47–57B payments |
| ACH Value | $93T | $150–200T |
| Same Day ACH | 1.4B payments | 3.6–5.7B payments |
| FedNow | Low millions of payments per quarter | Hundreds of millions to low billions annually |
| Tokenized Deposits / Stablecoins | ~$166B market | $1T+ under published forecasts |
The challenge for banks is no longer supporting a single payment rail—it is managing an increasingly diverse payments ecosystem without proportionally increasing operational cost.
Historically, banks have relied on legacy infrastructure that was designed around batch processing, siloed applications, and limited connectivity. While these systems continue to provide a reliable system of record for customer accounts and regulatory reporting, they were not designed to support the API-driven, event-based architecture required by modern Embedded Finance.
As Embedded Finance programs grow, banks often experience operational bottlenecks rather than technology limitations. Each new program introduces additional reconciliation, settlement, exception management, compliance reviews, and operational oversight. Without automation, scaling deposits and payment volume often requires proportional increases in operations and risk personnel.
A modern Embedded Finance platform changes this model by introducing a bank-owned operational ledger that is managed within the bank’s technology environment—not as an external system of record, but as an internal financial processing engine.
This internal ledger enables the bank to:
Because the ledger operates inside the bank’s-controlled environment, operational processes become standardized across all Embedded Finance programs. Rather than building custom workflows for every fintech or commercial customer, banks establish a common financial operating model that can be reused across products and clients.
The result is significantly greater scalability without introducing additional operational complexity.
Operational efficiency has become one of the defining success factors for Embedded Finance.
Daily settlement across ACH, FedNow, RTP, wires, cards, and other payment networks often requires manual reconciliation between payment processors, Federal Reserve accounts, correspondent banks, internal General Ledger accounts, and customer balances.
As Embedded Finance programs grow, these manual activities quickly become unsustainable.
Modern Embedded Finance requires automation across the entire financial lifecycle, including:
These capabilities require deep integration into banking operations and cannot be achieved through disconnected third-party financial ledgers alone.
A bank-native operational ledger enables every transaction to follow a predefined financial workflow. Funds movement, settlement, accounting entries, fee assessment, and reporting are generated automatically using standardized posting rules.
This approach eliminates repetitive manual processes while providing Banking Operations and Finance teams with complete visibility into every financial event.
Instead of managing spreadsheets and activity files, operations teams gain real-time insight into settlement status, reconciliation exceptions, liquidity positions, and operational performance across all Embedded Finance programs.
Scaling Embedded Finance requires more than connecting applications through APIs. It requires a commercial framework that can be consistently deployed across multiple partners while remaining operationally manageable for the bank.
Many technology providers have historically focused on helping fintech companies reach the market quickly. While these platforms often simplify customer onboarding and payment connectivity, they typically provide limited support for the financial operations performed inside the bank.
These activities often occur outside the platform, increasing operational overhead and reducing scalability.
Embedded Finance should instead be designed around the operational needs of the bank.
By combining a bank-native operational ledger with configurable commercial capabilities, financial institutions can standardize how Embedded Finance programs are launched and managed.
This includes automation of:
Rather than negotiating entirely new operational models for each Embedded Finance relationship, banks establish standardized commercial frameworks where configurable pricing and revenue levers can be adjusted without redesigning financial processes.
This enables banks to onboard new Embedded Finance partners faster while maintaining consistent governance, financial controls, and profitability.
The next generation of Embedded Finance is not simply about exposing banking capabilities through APIs. It is about modernizing how financial institutions operate internally.
A bank-native operational ledger provides the foundation for this transformation by enabling scalable financial processing, standardized automation, and consistent commercial management across all Embedded Finance programs.
When payment orchestration, ledgering, settlement, reconciliation, and commercialization operate as a unified platform within the bank, financial institutions can support multiple payment rails, attract new deposit opportunities, and expand Embedded Finance offerings without creating additional operational burden.
The result is a more efficient, more scalable bank operating model—one that allows banks to innovate confidently while retaining full ownership of their financial data, operational controls, and customer relationships.
Head of Product, Infinant. Product innovation leader with a strong foundation in software development and over 10+ years of experience implementing enterprise financial software. Aly heads up Infinant’s Banking & Payment Platform that drives the embedded finance, virtual account management, payment modernization, and digital asset markets.
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