AI Needs Human Oversight

“AI Cannot Replace Human Judgment in Lending”: Sunil Govindarajan Champions a Governance-First Strategy for Financial AI

India, 29 May 2026: As financial institutions ramp up their use of AI for credit assessment, underwriting, and fraud prevention, Sunil Govindarajan, CRO and Director at Optimo Capital, is cautioning against the trend toward fully autonomous lending. He argues that robust governance and human oversight remain critical components for any successful deployment.

During a panel discussion on Digital Transformation & AI Integration at the CXO Summit & Awards 2026, Sunil noted that while AI offers significant benefits regarding operational efficiency and predictive accuracy, lenders must prioritize systems that are transparent, auditable, and subject to ongoing human evaluation.

“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 more than 20 years of expertise in risk strategy, underwriting, and lendingโ€”including extensive work scaling portfolios for Indian NBFCsโ€”Sunil discussed the potential for AI to transform the Indian mortgage sector, particularly by optimizing property valuation and underwriting processes.

He highlighted that Indiaโ€™s mortgage-to-GDP ratio remains well below that of developed nations, presenting a substantial opportunity for technology-driven expansion. Sunil suggested that implementing AI-driven valuation and benchmarking tools could accelerate processing times, bolster lender confidence, and mitigate fraudโ€”particularly in Tier-3 regions and emerging markets where operational verification often proves difficult.

A central theme of Sunilโ€™s presentation was the imperative to prioritize governance when deploying AI within NBFCs and financial institutions. He stressed that any AI application utilized for fraud detection, underwriting, enterprise risk management, or reporting must be explainable, logic-based, transparent, and fully auditable.

He also examined the broader application of AI across the financial services lifecycle, including collections, loan origination, compliance reporting, and underwriting. While acknowledging that AI can enhance predictive capabilities and minimize manual tasks, he maintained that strong governance frameworks, data integrity, and human oversight are essential safeguards.

During the event, Sunil Govindarajan was honored with the CXO Leadership Excellence Award, acknowledging his significant contributions to risk management, credit strategy, and the wider lending industry.

Throughout the session, Sunil underscored the importance of constructing lending systems rooted in governance, where technology facilitates rapid, data-driven decisions without sacrificing underwriting discipline, long-term asset integrity, or accountability.

With a career spanning enterprise risk management, credit operations, loan against property, and MSME financing, Sunil has been instrumental in developing and expanding diverse lending portfolios across the Indian financial sector.

About Sunil Govindarajan

Sunil Govindarajan is an experienced leader in risk management and lending, possessing over two decades of expertise in credit strategy, underwriting, enterprise risk management, and MSME financing. Currently, he serves as the Chief Risk Officer at Optimo Capital and as a Director at Nipun Projects and Finance Private Limited, where he has played a pivotal role in expanding lending operations and credit portfolios for Indian NBFCs. His professional focus centers on risk strategy, governance-led lending, loan against property (LAP), and the deployment of responsible AI within financial services.