ezee.ai partners with the global credit union community as a Platinum Sponsor at WCUC 2026

Read the announcement

Feb 16, 2026

Digital lending in 2026 is no longer just about faster approvals and slick journeys but it’s about reshaping how risk, capital, and technology work together across the balance sheet. At a time when regulators are tightening expectations, capital is more selective, and DPI has rewired the rails beneath credit, every decision you automate now shows up directly in asset quality, ROE, and supervisory scrutiny.

At the crossroads of AI-native decisioning, embedded distribution, and regulation-by-design, we are seeing a structural power shift in how banks and NBFCs run lending. The leaders are not simply “going digital”; they are weaponizing architecture, data, and AI to hard-code discipline into how credit is priced, approved, monitored, and recovered. What used to be a front-end innovation race is now a contest of operating models, where unit economics, explainability, and lifecycle control decide who grows and who gets absorbed.

Inside the Transformation

Uncover what’s next in our whitepaper, State of Digital Lending 2026:

  • From growth to return on capital: How the profitability reset is exposing “zombie” portfolios and elevating lenders that can prove CAC payback, credit cost control, and ROE, not just disbursement growth.
  • From API-wrapped to AI-native stacks: Why surface-level digitisation is no longer enough, and how unified decision layers, model governance, and auditable logic are becoming the real moat.
  • From standalone apps to embedded, DPI-native credit: How UPI, Account Aggregator, and GST are shifting advantage to lenders that treat DPI as a backbone for origination, pricing, monitoring, and collections, not an add-on.
  • From siloed lifecycle to one decision fabric: How integrating underwriting, monitoring, restructuring, and collections on a single decision system is turning credit from a risk amplifier into a profit engine.

Download the whitepaper trusted by CEOs, CROs, and Heads of Digital Lending.

Access hard data on market size and growth, survival metrics boards actually need to track, and practical playbooks drawn from leading banks, NBFCs, and MFIs already operating on 2027-ready architectures.

Because the next chapter in digital lending is discipline – measurable, explainable, and built to be resilient in a world where every automated decision is both a profit lever and a supervisory exposure.

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<a href="https://ezee.ai/author/lalitha-a/" target="_self">Lalitha Arugula</a>

Lalitha Arugula

Fintech Content Strategist

Lalitha Arugula is a fintech content strategist with years of experience focused on how financial institutions make technology decisions at scale. She has authored analytically grounded blogs and case studies trusted by C suite and senior banking leadership teams to evaluate digital transformation, risk posture, and operating models. Known for her research depth, she translates AI driven decision engines, underwriting automation, and digital lending platforms into strategic clarity. Lalitha writes to influence long term decision posture, not surface level transformation narratives.

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