Architecting the Agentic AI Enterprise

10 September 2026

6:30 PM – 9:00 PM

Hall 205, Jio Convention Centre, BKC

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Overview

The next phase of Agentic AI will not be defined by the number of agents an enterprise deploys, but by the measurable business outcomes those agents deliver. Every interaction has the potential to generate customer intelligence, operational insights, and better business decisions but only when agent performance is observable, continuously evaluated, and aligned with enterprise outcomes. In this closed-door CXO roundtable, BFSI leaders will explore how to build a continuously improving Agentic AI ecosystem that accelerates growth, enhances operational efficiency, improves customer experience, and strengthens risk management while maintaining robust governance, cyber resilience, and trust at scale.

Agenda

6:30 PM – 7:00 PM

Registration and Networking

7:00 PM – 7:05 PM

Welcome Note by GFF

7:05 PM – 7:15 PM

Opening Remarks & Context Setting by Gnani AI

7:15 PM – 8:15 PM

Roundtabel Discussion

8:15 PM – 8:20 PM

Thank You Note

8:20 PM onwards

Networking over Dinner

Discussion Highlights

What the conversation sets out to achieve.

Escaping Pilot Purgatory

Why do promising Agentic AI initiatives struggle to scale into trusted enterprise capabilities?

Prioritising Outcomes, Not Use Cases

Which AI agents can deliver measurable impact across growth, cost-to-serve, customer experience, productivity, and risk management?

Building the Shared Agentic AI Foundation

What infrastructure, governance, and orchestration capabilities should be common across AI agents, customer journeys, and business functions?

Making Agent Performance Observable

How can enterprises measure agent decisions, actions, failures, costs, and business impact in real time?

Governing Agents at Machine Speed

How should identity, permissions, auditability, human oversight, and customer trust evolve as AI agents become increasingly autonomous?

About Gnani AI

Gnani AI is redefining what's possible in enterprise voice AI. Built from the ground up for the messy reality of real-world calls - background noise, regional accents, and mid-sentence language switching - Gnani's proprietary speech and language models are trained on over 14 million hours of telephonic audio across 40+ languages, delivering the accuracy that general-purpose AI simply can't match on the phone. Today, its voice agents, speech analytics, agent-assist, and biometric authentication solutions power 200+ enterprises across banking, insurance, healthcare, and government, processing more than 30 million real voice interactions every single day. Gnani AI stands at the frontier of Agentic Voice AI turning every customer conversation into an opportunity for automation, insight, and trust.

Join the Conversation

This is a closed-door, invitation-led roundtable. Express your interest to be part of the discussion on scaling Agentic AI at Global Fintech Fest 2026.