India, 29 May 2026: As financial institutions accelerate the adoption of AI for fraud detection, underwriting, and credit evaluation, Sunil Govindarajan, CRO and Director at Optimo Capital, is calling for a measured approach to the shift toward fully autonomous lending. He maintains that strong governance and human supervision are non-negotiable elements for successful implementation.
Speaking during a panel on Digital Transformation & AI Integration at the CXO Summit & Awards 2026, Sunil observed that while AI provides clear advantages in predictive precision and operational speed, lenders need to focus on building systems that remain transparent, auditable, and under constant human review.
"In lending, speed without governance can become a risk multiplier. AI should strengthen decision-making, not replace accountability," said Sunil Govindarajan during the discussion.
Drawing on over two decades of experience in lending, underwriting, and risk strategy—including time spent scaling portfolios for Indian NBFCs—Sunil explored how AI could reshape the Indian mortgage industry, particularly by streamlining underwriting processes and property valuation.
He pointed out that India’s mortgage-to-GDP ratio remains significantly lower than that of developed economies, creating a major opportunity for tech-led expansion. Sunil proposed that deploying AI-powered benchmarking and valuation tools could enhance processing speeds, improve lender confidence, and reduce fraud, especially in emerging markets and Tier-3 areas where verifying operations is often challenging.
A core focus of Sunil’s talk was the necessity of prioritizing governance when integrating AI into financial institutions and NBFCs. He emphasized that any AI tools used for underwriting, fraud detection, reporting, or enterprise risk management must be transparent, logic-based, explainable, and completely auditable.
He also reviewed the wider use of AI throughout the financial services lifecycle, covering areas like loan origination, underwriting, collections, compliance reporting, and enterprise risk management. While he recognized that AI can reduce manual tasks and improve predictive power, he insisted that data integrity, robust governance frameworks, and human oversight remain essential protections.
During the event, Sunil Govindarajan received the CXO Leadership Excellence Award, which recognized his notable contributions to credit strategy, risk management, and the broader lending sector.
Throughout the session, Sunil emphasized the importance of creating lending systems built on a foundation of governance, where technology enables fast, data-backed decisions without compromising underwriting discipline, accountability, or the long-term integrity of assets.
With extensive experience spanning MSME financing, loan against property, credit operations, and enterprise risk management, Sunil has played a key role in building and growing diverse lending portfolios across the Indian financial landscape.
Sunil Govindarajan is an expert in lending and risk management, with over 20 years of experience in underwriting, MSME financing, credit strategy, and enterprise risk management. He currently serves as Chief Risk Officer at Optimo Capital and Director at Nipun Projects and Finance Private Limited, where he has been essential in expanding credit portfolios and scaling lending operations for Indian NBFCs. His professional focus includes governance-led lending, risk strategy, loan against property (LAP), and the implementation of responsible AI in the financial industry.
