Overview

The Agentic BFSI Enterprise - Architecting for Autonomy and Resilience

The BFSI sector stands at a critical inflection point where technology decisions now extend far beyond IT roadmaps to directly influence institutional resilience, growth, and long-term valuation. Many banks, financial institutions, and insurers continue to operate on complex legacy architectures that restrict agility, inflate costs, and amplify operational and regulatory risk. At the same time, expectations around seamless digital experiences, real-time intelligence, AI-driven efficiency, and cyber resilience are rising sharply. For CIOs, CTOs, and digital transformation leaders, the central challenge is no longer adoption, but how to break free from legacy constraints while preserving stability, compliance, and trust.

As the industry moves into 2026 and beyond, BFSI is transitioning out of the experimentation phase of digital transformation and into an era of Agentic Reality. Technology is no longer a supporting function; it has become a primary determinant of market survival and institutional valuation. While legacy systems remain a significant hurdle, the strategic focus has shifted toward autonomy, real-time decisioning, and cyber resilience. For technology leaders, the mandate is clear: evolve from being digital-first to becoming AI-native. This transition demands a fundamental redesign of operating models to support a hybrid workforce, one where human judgment and AI agents co-create value within a highly regulated, zero-trust environment.

Despite substantial investments in cloud, data platforms, AI, and automation, a persistent gap remains between technology spend and realized business value. Fragmented modernization efforts, unclear operating models, and weak alignment between technology strategy and enterprise objectives often dilute outcomes. From a capital markets perspective, this complexity introduces execution risk and uncertainty, factors that directly affect investor confidence, valuation multiples, and institutional credibility. As a result, technology leaders are under increasing pressure to simplify architectures, strengthen governance, and deliver transformation outcomes that are measurable, scalable, and sustainable.

Against this backdrop, this closed-door dialogue strives to bring together senior BFSI technology leaders to examine how institutions can transition from technology-heavy legacies to digitally led, value-driven enterprises. The discussion will explore how disciplined modernization, strategic capital allocation, and robust technology governance can unlock agility while reinforcing resilience, regulatory confidence, and long-term enterprise value.

Key Highlights

Legacy mainframes are no longer just "slow"; they are "Agent-Inhibitors." In 2026, data must be "Agent-Ready"—structured, accessible, and high-provenance.

  • Identifying Constraints: Which legacy layers are preventing the deployment of AI agents?

  • Technical Debt as Financial Risk: Quantifying how "legacy lag" impacts institutional credit ratings and investor confidence.

  • Modular Architectures: Transitioning to "composable banking" where core functions are exposed via high-performance APIs.

As AI takes autonomous actions (e.g., freezing a suspicious high-value transaction or adjusting credit limits), the risk of "black box" decisions becomes a regulatory nightmare.

  • Explainable AI (XAI): Implementing real-time "reasoning traces" that allow auditors to see why an agent made a specific decision.
  • Cyber-Resilience & AI Defense: Using AI to fight AI. Strategies to defend against deepfake-led social engineering and automated fraud bots.
  • Strategic Capital Allocation: Moving from "Pilot Purgatory" to "Inference Economics"—optimizing compute spend to ensure AI scales profitably.

We are entering the era of the "10x Bank," where lean teams manage fleets of digital co-workers to deliver exponential impact.

  • Workforce Transformation: Redefining roles for a workforce that must now "orchestrate" rather than "operate."
  • Ecosystem Orchestration: Building "Life Event" ecosystems (e.g., seamless home buying journeys) by integrating with non-financial APIs.
  • Sustainable Leadership: Aligning digital infrastructure with ESG goals, ensuring that massive AI compute needs do not compromise carbon neutrality commitments.

Speakers

Binit Jha

Chief Data
IDBI Bank

Harish Rama Rao

Senior Vice President of Engineering
Acko

Rohit Kilam

Group Chief Technology Officer
HDFC Life

Sampath Manickam

Chief Technology Officer
NSE

Saurabh Tiwari

Chief Technology Officer
PolicyBazaar.com

Agenda

Welcome & Networking
Opening Remarks & Context Setting by Moderator
Key Discussion Points60 minutes Timings TBD
Closing Remarks