The Global Fintech Fest 2026 has opened in Mumbai with a focus on 'Agentic AI,' where software moves from basic tools to autonomous decision-making in lending and payments. While this shift promises lower costs and better services, it also brings major security and regulatory risks that investors must track.
The Global Fintech Fest 2026 commenced in Mumbai on September 8, bringing the financial sector's focus to the next stage of artificial intelligence. While the industry has used AI for years to detect fraud or answer simple customer queries, the new trend is 'Agentic AI.' Unlike basic AI tools that act only when a human directs them, these new systems can perform multi-step tasks independently, such as processing a loan application or executing a complex payment flow from start to finish.
Moving Beyond Basic Tools
The shift is visible across the banking and payments landscape. Industry leaders at the event noted that payment companies and banks are increasingly embedding these systems directly into their core workflows. For example, some large private sector banks, such as HDFC Bank, have already begun setting up internal frameworks to manage these autonomous agents. These frameworks are designed to keep the systems working within specific safety limits, using specialized architecture to ensure that the software does not go off track during complex tasks.
For businesses, the appeal is clear: efficiency. By letting software handle parts of the lending and service journey, companies hope to lower their operating costs and provide faster service to customers. A recent report from the Federation of Indian Chambers of Commerce and Industry and Boston Consulting Group highlights that these autonomous systems could significantly automate credit journeys, allowing for more personalized and faster approvals.
The Risk of Automation
Despite the excitement, a major theme at the conference is caution. As systems gain more power to make decisions, the risk of technical errors or malicious attacks rises. The Reserve Bank of India (RBI) has already identified AI-enabled cyberattacks as a top concern in its June 2026 Financial Stability Report. Because these autonomous agents connect deep into the financial ecosystem, a security breach could have a much wider impact than a typical software glitch.
Industry executives are emphasizing that speed cannot come at the cost of safety. The central challenge is creating 'human-in-the-loop' systems, where software can act on its own, but humans remain in control to verify important decisions and handle failures. Investors should watch how companies manage the trade-off between the efficiency gains from this new technology and the rising costs of building robust, secure, and compliant architecture.
What to Monitor Next
The move toward autonomous financial services is in its early stages. For investors, the most important updates will come from how regulators shape the rules for these systems. Companies that can scale these agents while maintaining strong cybersecurity and clear accountability will likely have a competitive advantage. In the coming quarters, the focus will shift from the promise of AI agents to the reality of how well these systems perform under real-world pressure without causing service outages or security lapses.