Capri Loans collaborates with OpenAI to bring Enterprise-Grade AI to lending operations

In July 2026, Capri Global Capital Limited, known by the brand name ‘Capri Loans’, one of the leading, retail-focused Non-Banking Financial Companies (NBFC’s), announced that it is working with OpenAI to adopt enterprise-grade generative AI across key business functions. The initiative supports Capri Loans’ technology-led growth strategy.

Over the coming months, Capri Global Capital is set to explore the deployment of secure AI-powered deployments and workflow tools to enhance customer service, knowledge management, and operational processes across its network of more than 1,400 branches, serving over 7.6 lakh customers all across India.

Capri Loans will initially be focused on evaluating advanced AI use cases across selected workflows, including document and information analysis, policy and knowledge retrieval, application support, exceptional handling, and early-warning processes. These tools are intended to help relationship managers, branch teams, and operations personnel navigate multiple processes, synthesize information across different sources, and take faster, more informed actions. Human oversight will remain central to underwriting and credit decisions, with Capri Loans’ proprietary credit models, underwriting policies, and risk management frameworks continuing to guide all lending decisions.

The rollout will also follow a phased approach with enterprise-grade governance, including robust security controls, role-based access, monitoring, and compliance with applicable regulatory and data privacy requirements. Sensitive customer information will continue to be managed in accordance with Capri Loans’ existing information security, consent management, and governance standards.

Impact on the ICT Market

In the fast-evolving landscape of IT services, partnerships and alliances between companies are becoming increasingly crucial. Collaborations and partnerships enable firms to leverage each other’s strengths, access new markets, and foster innovation, thus resulting in mutual benefits. The ability to innovate, scale, and deliver true value to customers is no longer a function of what a single company can do, but of what it can achieve in concert with others. These alliances are not mere tactical arrangements or simple sales channels; they are the fundamental, load-bearing pillars of modern business strategy.

Co-development partnerships allow two or more companies to share the immense costs and risks associated with developing a new, unproven technology. This enables the pursuit of ambitious projects that would otherwise be too risky for a single entity to handle. When engineers and product managers from different companies and cultures collaborate, it creates a powerful cross-pollination of ideas. This acts as a key driver for breakthrough innovation that would be unlikely to occur within a homogenous internal team.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, the market is establishing a foothold as enterprises evolve from predictive systems to autonomous, in search of a more efficient, cost-effective, and adaptive intelligence. Deeper integration with enterprise software and the speed at which AI is developing mean that agentic AI will cause a paradigm shift within enterprise operations. Organizations are moving toward autonomous systems that limit human decision-making. This movement helps spur the adoption of agentic AI because AI can find the right sequence of actions and minimize human involvement in the enterprise workflow.

Data is being produced quickly and is getting bigger and more unstructured, and organizations need intelligent systems to manage that data. Agentic AI agents can autonomously examine data and extract meaning from it, and act upon insights to speed up decision-making and improve accuracy in different departments. Organizations all over the world are under pressure to reduce costs, reduce mistakes in processes, and return on investments. Agentic AI automates repetitive, resource-consuming tasks with greater accuracy and smarts that improve efficiencies and free up employees to do the strategic portions of their jobs.

Impact on the IT Operations Analytics Market

The global IT operations analytics market size is calculated at USD 22.47 billion in 2025 and is predicted to increase from USD 29.15 billion in 2026 to approximately USD 278.70 billion by 2035, expanding at a CAGR of 28.63% from 2026 to 2035.

According to Precedence Research, the market has grown significantly as a result of many major factors, including increasing business use of ITOA solutions and services to decrease operating costs and improve infrastructure. Organizations are looking for effective solutions to monitor and manage their operations as contemporary IT systems become more sophisticated. ITOA solutions give useful insights into system performance, detect possible obstacles, and fix issues proactively, resulting in better operational efficiency and cost savings.

Strong momentum in the IT operations analytics market is being driven by the increasing complexity of IT infrastructure, the use of hybrid IT environments, and the demand for real-time insights into performance. Enterprises are relying more heavily on predictive analytics to lower the likelihood of downtime and enhance the efficiency of operations. The global expansion of IT operations analytics is also being driven by multinational companies implementing standardization of IT visibility across different geographical locations. Cloud-native analytics platforms also support centralized monitoring, enable fast incident resolution, and maintain consistent levels of service by providing visibility into globally-distributed IT operations.

Expert Opinion

Commenting on the collaboration, Rajesh Sharma, Managing Director, Capri Global Capital Ltd., said,

“As Capri Global continues to strengthen its technology and data science capabilities, we see tremendous potential for AI to transform the way we serve customers, empower our employees, and make better decisions. Our collaboration with OpenAI will help us identify and deploy practical AI use cases across the lending value chain, while maintaining the highest standards of governance, security, and human oversight.”

“More importantly, this collaboration reflects our long-term ambition to build an AI-native lending institution, one that is designed not only for today’s scale, but for the future of financial services in Bharat. We believe AI will be a strategic force multiplier, enabling superior productivity, stronger risk management, faster innovation, and more inclusive access to credit. Our goal is not simply to adopt AI, but to help define the next generation of responsible, intelligent, and customer-centric financial services in India.