Build Lending Products Like You Build Slides
Drag, Drop, Automate with AI
Digital Lending Platform that launches credit journeys in just one week with our No-Code AI platform.
Build complete flows with screens, fields, rules, and workflows without a single line of code.
Build Lending Products Like You Build Slides
Drag, Drop, Automate with AI
Digital Lending Platform that launches credit journeys in just one week with our No-Code AI platform.
Build complete flows with screens, fields, rules, and workflows without a single line of code.
Why Banks Choose ezee.ai to Build Credit Journeys
Rulebooks to Real-Time
Update logic, deploy workflows,
stay compliant without code
AI That Knows Lending
Digital Lending Platform pre-trained for 100+ BFSI processes, validations, and data
No-Code with Governance
Business teams own the flow;
IT owns the guardrails
Your Complete Lending Technology Suite
Three powerful platforms that work together to transform how you
build, deploy, automate and manage lending products.
Launch Credit Products in Weeks, Not Quarters
Cut loan processing time by 70%
Boost STP rates by 50%
Turn Collections into Customer Conversations
Cut collection cycle times by 60%
Handle 10x more accounts
Optimize, Automate & Accelerate Lending Decision
Launch complex rules in minutes
Reduce decisioning time by 80%
Supporting Every Asset Type with AI Precision
Our flexible platform powers lending across all asset types with live implementations globally
- Configure any asset type with drag-and-drop workflows
- Pre-trained models for each asset class and geography
- Launch new asset types in days, not months with AI
Global Footprint
100+ Customers across 4 Continents, processing $100 million accounts and $2 billion in loans annually
Trusted by 100+ Banks & NBFCs Across Segments
Financial institutions globally choose ezee.ai for its unparalleled security, compliance, and AI-driven automation capabilities.
14 out of 43 RRBs in India Run on ezee.ai
Enterprise Security & Compliance
Meeting the most stringent regulatory requirements while enabling innovation
Head of Lending Technology
“Our previous credit launch cycles spanned 5–6 months. With lend.ezee, we launched a BNPL product in under 4 weeks—with no backlog and full compliance. Unmatched agility for enterprise-grade delivery.”
Head of Digital Lending
“With ezee.ai, we moved from long dev cycles to launching new SME lending journeys in just weeks. The platform empowered our business teams to build and go live—without relying on tech sprints.”
Product Head
“ezee.ai enabled us to go live with a fully digital SME loan journey in under a month. The platform’s AI-driven form builder and compliance-checked logic were exactly what we needed.”
Collection Head
“collect.ezee helped us streamline our workflows, reduce follow-up calls, and cut down post-closing document handling. We now save 100+ hours a month with zero-code automations.”
Chief Risk Officer
“We moved from unstructured calls to structured, AI-prioritized collection queues. Our team sees higher success rates, and our NPL recoveries have improved drastically.”
CFO
“With collect.ezee, we introduced self-serve options, automated workflows, and role-based queues. We now close cases in record time—with less effort and more visibility.”
CIO
“With decision.ezee, we reduced the time to apply new credit rules from weeks to hours. It gave us true agility in rule management—without relying on dev releases.”
COO
“Our team now uses decision.ezee to automate complex eligibility checks. The accuracy, consistency, and auditability of our credit decisions have gone up across product lines.”
Head of Risk Management
“decision.ezee made it easy for our risk and compliance teams to encode audit-ready rules without code. It’s future-proof, agile, and gives us full control over policy evolution.”
Real Implementations, Real Results
See how leading financial institutions launch credit products with unprecedented speed using ezee.ai
Lending Innovation, Explained Simply
Insights from the frontlines of digital lending transformation.
ezee.ai in Media
Build Credit Products with AI Speed and Enterprise Security
From concept to go-live in days, not months. Our platform combines the agility of no-code with the governance and security financial institutions demand.
FAQs: What Banking Leaders Must Know Before Adopting Digital Lending Software
Key considerations banks and NBFCs evaluate before adopting digital lending software
What defines a digital lending platform in modern banking and financial services?
A digital lending platform is software that automates loan origination, underwriting, disbursal, and servicing using APIs, rule engines, and workflow orchestration instead of manual handoffs. It reduces decision TAT by standardising KYC, bureau pulls, and credit logic, with many banks reporting 50 to 70 percent faster approvals per McKinsey.
How does an end to end digital lending ecosystem connect origination, decisioning, and collections?
An end to end digital lending ecosystem connects origination, decisioning, and collections through shared data models and real time workflows rather than disconnected tools. When an application is approved, the same borrower profile feeds disbursal, repayment tracking, and collections prioritisation, improving recovery efficiency by 20 to 30 percent per EY.
In what ways do digital lending platforms assess borrower risk differently from traditional lenders?
Digital lending platforms assess risk continuously using rule engines, bureau APIs, and transaction data rather than one time manual underwriting. Risk is evaluated during application, before disbursal, and even post booking, which reduces early delinquencies by nearly 25 percent per Experian.
Why is regulatory compliance a central design consideration in digital lending platforms?
Regulatory compliance is core because digital lending decisions must be explainable, auditable, and consistent at scale. Platforms embed consent capture, rule traceability, and audit logs across KYC, bureau checks, and underwriting, helping lenders pass regulatory reviews faster, as RBI has noted for automated decision systems.
How do enterprises evaluate a digital lending platform across compliance, scalability, and operational resilience?
Enterprises evaluate platforms when loan volumes, regulatory scrutiny, or product complexity exceed manual control. Key criteria include audit ready rule management, API scalability for peak volumes, and failure handling, with large lenders targeting systems that support 3x to 5x volume growth without added headcount per BCG.
What criteria do banks and NBFCs use to shortlist digital lending platforms for long term growth?
Banks shortlist platforms based on configurability of credit rules, integration depth with CKYC and bureaus, and operational control across products. Systems that support frequent policy changes without code changes reduce rollout time by over 40% as per Gartner.
When does a financial institution need a unified digital lending ecosystem instead of point solutions?
A unified ecosystem is needed when multiple point tools create delays, reconciliation issues, or inconsistent credit decisions. This typically appears when lenders launch multiple products or channels, where unified workflows cut handoffs and reduce processing errors by nearly 30% as per Deloitte.
How is artificial intelligence applied across the digital lending lifecycle?
AI is applied to automate data extraction, risk scoring, fraud detection, and collections prioritisation across the lending lifecycle. For example, models flag high risk applications during underwriting and predict roll rates in collections, improving portfolio outcomes by 10 to 20% as per industry studies.
What are the primary operational and risk challenges associated with digital lending models?
The main challenges are decision explainability, data quality, and operational dependency on external APIs. If bureau or KYC services fail, workflows must degrade safely, as regulators expect lenders to maintain decision consistency even during outages, a point repeatedly highlighted by supervisory audits.
What structural changes are shaping the future of digital lending platforms globally?
Future platforms are shifting toward modular rule engines, real time decisioning, and policy led automation rather than hard coded logic. This allows lenders to respond faster to regulation and market changes, with adaptive platforms reducing policy rollout cycles by over 60% as per Accenture.