Lonavala, 15 October 2026: ezee.ai participated as a Supporting Partner at the ETBFSI NBFC Leaders’ Retreat 2026, held from 9 to 11 October at The Radisson Resort & Spa, Lonavala. The retreat brought together leaders from India’s non-banking financial company (NBFC) sector to exchange perspectives on sustainable growth, technology adoption, risk management and the future of lending.
As NBFCs look to expand their lending operations, a key challenge is balancing growth with credit quality, operational efficiency and evolving customer expectations. Addressing these priorities requires more than faster digital journeys. It calls for connected lending operations that enable financial institutions to adapt to changing business needs without adding unnecessary complexity.
Connecting Technology Across the Credit Lifecycle
At its booth, ezee.ai presented its approach to lending technology across loan origination, credit decisioning, collections, process automation and Agentic AI. The showcase reflected a broader shift in lending technology: moving beyond digitising individual activities towards connecting processes and decisions across the credit lifecycle.
The areas highlighted included:
- Faster loan origination: Simplifying borrower onboarding and supporting more efficient digital lending journeys.
- Smarter credit decisioning: Enabling consistent, data-driven credit assessments aligned with lending policies and decision-making requirements.
- Intelligent collections: Applying borrower insights and risk-based strategies to support more effective collections operations.
- Agentic AI across credit workflows: Using specialised AI agents to support connected and intelligent lending processes.
- Greater business agility: Using 100% no-code technology to configure and adapt lending workflows as business requirements and credit policies evolve.
For NBFCs operating across diverse borrower segments and lending products, adaptability is particularly important. As market conditions, risk profiles and customer needs change, lending technology must allow institutions to respond while maintaining appropriate controls and oversight.
Moving from AI Adoption to Business Value
AI is becoming an important part of the conversation around lending transformation. However, meaningful adoption involves more than deploying models or automating individual tasks. Its value depends on how effectively data, decision logic, workflows and operational controls work together.
In credit operations, connected workflows can help financial institutions apply intelligence across different stages of the lending process rather than treating each activity in isolation. Agentic AI represents a further step in this direction, with specialised agents supporting defined tasks within broader business workflows.
Equally important is the governance surrounding these processes. Financial institutions need appropriate controls, monitoring, and review mechanisms to ensure that AI-enabled operations remain aligned with internal policies, risk management practices, and regulatory requirements.
The focus, therefore, is not simply on adopting AI, but on applying it where it can support meaningful business outcomes while preserving the oversight that financial services demand.
Engaging with India’s NBFC Ecosystem
Representing ezee.ai at the retreat were Sushmitshri Babu, Co-founder and Chief Technology Officer, and Neeraj Parashar, Chief Business Officer. Their participation reflected the company’s continued engagement with financial services leaders on modernising lending operations, strengthening credit decisioning and building technology foundations that can evolve with changing business needs.
The retreat provided an opportunity to exchange perspectives with industry stakeholders on the challenges and opportunities shaping the NBFC sector, particularly as lenders balance growth ambitions with portfolio quality, technology investments and operational resilience.
As the sector looks ahead, sustainable lending growth will depend on more than increasing loan volumes. It will require lending operations that can scale intelligently, respond to changing risk and adapt to evolving business requirements without adding unnecessary complexity.
