Fintechs face funding squeeze as compliance becomes king

The 2024 House Financial Services Committee hearing spotlighted bank-FinTech partnerships as critical infrastructure that modernizes payments through AI, APIs, and real-time capabilities, yet simultaneously introduces complex oversight challenges. Lawmakers emphasized that despite technological advances, banks remain ultimately responsible for compliance, especially as emerging digital assets add layers of regulatory complexity, underscoring the need for robust accountability frameworks.

By mid-2026, regulatory frameworks lagged behind the rapid evolution of embedded banking models, prompting calls for clearer, risk-calibrated supervision rather than diminished oversight. This regulatory uncertainty is compounded by the withdrawal of earlier guidance that placed compliance responsibility solely on banks, leaving community banks particularly vulnerable as they legally retain obligations under laws like the Bank Secrecy Act despite operational reliance on FinTech partners.

The intensification of regulatory enforcement against community banks partnering with FinTechs became evident with the May 2026 OCC consent order targeting a Northeast federal savings association for deficiencies in its anti-money laundering and Bank Secrecy Act compliance programs. This enforcement trend reflects a broader pattern of regulators scrutinizing smaller banks that have expanded rapidly into FinTech-related services without establishing adequate compliance infrastructures, raising the stakes for these institutions.

To navigate the murky compliance landscape, initiatives like the Coalition for Financial Ecosystem Standards’ Standardized Assessment for Risk Management & Compliance (STARC) framework have emerged, offering community banks a structured, audit-based certification of FinTech partners’ compliance maturity across critical areas such as BSA/AML and operational risk. Companies like AscentAI are positioning themselves as key allies in this space, aligning with regulatory awareness and risk management to help banks mitigate compliance risks amid ongoing regulatory ambiguity.

By early 2026, fintech leaders like CFO Anupam Vasdani emphasized that governance and compliance must be embedded into the very DNA of startups from inception, warning that these principles cannot be retrofitted at later stages. He advocated for compliance to be seamlessly integrated into core business functions, not treated as isolated or ancillary tasks, highlighting the importance of operational guardrails to maintain regulatory focus amid rapid innovation and growth. Vasdani also praised the regulatory environment, noting the effectiveness of bodies like the RBA in supporting this integrated approach.

By mid-2026, the role of compliance was undergoing a fundamental transformation from a peripheral control function into a central operational infrastructure within financial services. This evolution involved embedding compliance directly into workflows, technology systems, and product development processes, shifting from a post-decision checkpoint to an integral process integrator. This integration enables fintechs and banks to translate complex regulatory requirements into scalable, efficient business operations that simultaneously enhance growth and customer experience.

This embedding of compliance as a core operational principle is driven by the dual challenge of navigating increasingly complex, multi-jurisdictional regulations while meeting customer demands for frictionless, near-instant digital experiences. Financial institutions must balance regulatory resilience with seamless onboarding and user journeys, a tension that has become a defining challenge for the fintech sector and underscores why compliance can no longer be an afterthought but must be foundational to operational design.

In July 2026, the Reserve Bank of India (RBI) unveiled a draft Data Governance Framework that fundamentally redefines data management for banks and NBFCs by mandating board-level oversight and the creation of dedicated Data Governance Committees. This framework requires senior executives to assume clear accountability roles such as Data Owners and Stewards, ensuring governance structures are board-approved and robust. Crucially, it introduces the concept of a “Single Source of Truth” (SSOT) for all data elements, compelling financial institutions to maintain a single authoritative data repository to guarantee accuracy, lineage, and integrity, thereby addressing longstanding challenges in data quality and consistency.

The RBI’s framework aligns closely with the Digital Personal Data Protection (DPDP) Act of 2023, collectively raising the bar for auditability, regulatory compliance, and data principals’ rights enforcement. While the DPDP Act establishes foundational rights such as data access, correction, and erasure, the RBI’s framework fills critical gaps by embedding systemic data governance capabilities that go beyond mere consent capture. This synergy ensures that financial entities not only obtain verifiable consent with immutable audit trails but also maintain rigorous data protection obligations, transforming data governance from a voluntary maturity goal into mandatory baseline infrastructure across the financial ecosystem.

India’s evolving regulatory landscape imposes stringent requirements that surpass even the European GDPR in certain respects, particularly regarding consent and board-level accountability. Effective May 2027, the DPDP Rules demand detailed versioned consent records and enforce minimum data retention periods of one year, with penalties reaching up to ₹250 crore (~$28 million) for security lapses. This regulatory rigor underscores the necessity for financial institutions and government bodies alike to embed privacy-by-design principles, maintain comprehensive data inventories, and establish multi-tiered governance structures to ensure compliance and protect data principals’ rights.

Reflecting the government’s commitment to robust data governance, the Cabinet Secretary in August 2026 mandated all central ministries and state governments to develop compliance plans for the DPDP Act, appoint senior officials for oversight, and coordinate with the Ministry of Electronics and Information Technology (MeitY). This directive institutionalizes board-level accountability and operationalizes privacy-by-design across public digital services, signaling a nationwide shift toward comprehensive data stewardship that mirrors the private sector’s evolving standards under RBI’s framework.

By 2026, fintech firms have harnessed AI to revolutionize risk and compliance management, automating data-intensive tasks such as watchlist screening, alert prioritization, and drafting suspicious activity reports. This automation not only slashes operational costs but also boosts accuracy and scalability, enabling real-time responsiveness. However, human oversight remains indispensable for interpreting legal nuances and making final regulatory decisions, ensuring that AI complements rather than replaces expert judgment.

Moving beyond traditional static rule-based systems, AI-powered machine learning models analyze vast datasets to detect subtle, evolving fraud patterns and behavioral anomalies that conventional methods often miss. By dynamically updating customer risk profiles based on behavioral changes, these systems provide continuous risk assessment, enabling early detection of fraud or financial distress before they escalate. Most financial institutions integrate AI atop existing rule frameworks, leveraging AI’s ability to uncover emerging risks not yet codified into formal rules.

AI also dramatically accelerates Know Your Customer (KYC) processes through advanced computer vision and facial recognition technologies, automating document verification and sanctions screening that once took hours. This rapid onboarding reduces manual data entry and operational bottlenecks, enhancing customer experience while maintaining compliance rigor. Complementing these capabilities, AI-driven document analysis tools continuously compare updated regulatory texts against internal policies, identifying compliance gaps and necessary operational adjustments to keep pace with evolving regulations.

The tightening of RBI regulations alongside the Digital Personal Data Protection Act, 2023, has fundamentally reshaped bank-fintech partnerships by shifting the focus from rapid expansion to stringent governance and compliance. Banks now conduct exhaustive due diligence on fintechs, scrutinizing cybersecurity, cloud governance, and third-party risks, making operational trust the foremost barrier to entry. This regulatory environment compresses fintechs’ maturity timelines, forcing startups to adopt comprehensive risk management frameworks much earlier than before.

In response to the RBI’s new data governance framework and DPDP Act rules, Indian banks and NBFCs are overhauling fintech contracts to ensure direct control over data processing and storage, replacing legacy outsourcing models with compliance-first agreements. This shift has escalated operational expenses and contractual complexity, pressuring profit margins despite some relief from eased Default Loss Guarantee norms in early 2026. Industry bodies like the Indian Banks' Association and FACE are actively guiding members through this transition, underscoring a sector-wide commitment to tighter data protection standards.

Fintech funding dynamics have notably shifted, with investors funneling capital predominantly to startups that demonstrate robust, audit-ready compliance infrastructures, leaving smaller players struggling to secure funding. This is reflected in a sharp decline in fintech funding rounds—from $2.4 billion in 2025 to $822.9 million in 2026—highlighting a consolidation trend favoring companies with strong governance. As Sprinto cofounder Raghuveer Kancherla observes, the industry conversation has moved from patching regulatory gaps to embedding compliance into products from inception, making retrofitting both costlier and riskier.

By mid-2026, federal regulatory bodies such as the Federal Reserve, CFPB, OCC, and FDIC faced significant staffing cuts—up to 30% in the Fed’s Supervision and Regulation division and over 1,400 employees at the CFPB—creating a supervisory vacuum just as novel payment activities surged. This deregulatory climate compelled banks to internalize risk management by adopting real-time liquidity tracking, automated safety switches for high-frequency settlements, and rigorous stress testing to shield themselves from contagion risks stemming from nonbank counterparties and emerging payment models.

In response to diminished federal oversight, banks—particularly small and midsize institutions engaging with crypto and blockchain products—have been compelled to elevate their internal controls through continuous automated ledger reconciliation, real-time API monitoring, and independent reserve audits. This proactive technical due diligence ensures that failures are detected well before traditional examination cycles, effectively positioning financial services leaders as de facto technical auditors who uphold systemic stability amid a retreating regulatory presence.

Amid regulatory uncertainty, traditional banks are capitalizing on their FDIC insurance and direct central bank access to innovate proprietary digital payment rails and tokenized asset products, effectively monetizing a 'trust premium.' By leveraging a fully insured balance sheet and robust compliance infrastructure, these institutions differentiate themselves in a market increasingly wary of nonbank counterparties, turning regulatory headwinds into competitive advantage.