Beyond Demo to Deployment: The Production Playbook for Voice AI in BFSI

10 September 2026

6:30 PM – 9:00 PM

Jio Convention Centre, BKC

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Overview

Voice AI platforms often excel in controlled demonstrations but deploying them successfully at enterprise scale presents a different set of challenges. Production-ready Voice AI must go beyond natural conversations to reliably execute complex workflows, integrate with enterprise systems, support multiple languages, manage exceptions, and deliver consistent business outcomes. This exclusive CXO roundtable will bring together senior leaders from the banking and financial services sector to explore what it takes to move Voice AI from proof of concept to production. Discussions will focus on enterprise readiness, reliability, system integrations, workflow execution, governance, multilingual performance, and continuous optimisation. Participants will also examine practical use cases across sales, servicing, collections, renewals, and customer support, while gaining real-world insights into deploying and scaling Voice AI across BFSI operations.

Agenda

6:30 PM – 7:00 PM

Registration & Networking

07:00 PM – 07:05 PM

Welcome Address by GFF

7:05 PM – 7:20 PM

Context Setting by Blue Machines AI

7:20 PM – 7:35 PM

CXO Open Discussion

7:35 PM - 8:20 PM

Interactive Breakout Sessions

8:20 PM - 8:25 PM

Closing Remarks by Blue Machines AI

8:25 PM - 8:30 PM

Closing Address by GFF

8:30 PM - 9:00 PM

Drinks, Dinner and Networking

Discussion Highlights

What the conversation sets out to achieve.

From Demo to Production

Why do Voice AI solutions that excel in demonstrations often face challenges in real-world enterprise deployments, and what defines production readiness?

Building for Enterprise Scale

What is the reliability, performance, and resilience requirements for Voice AI handling high-volume customer interactions across BFSI

Workflow Automation Beyond Conversations

How can Voice AI move beyond answering queries to executing end-to-end workflows across enterprise systems and customer journeys?

Enterprise Integrations That Matter

What role do integrations with CRMs, loan management systems, diallers, policy platforms, and core banking applications play in successful deployments

Multilingual Voice AI at Scale

How can financial institutions deliver consistent Voice AI experiences across multiple languages, accents, and regional customer segments?

Governance, Security & Compliance

What governance, monitoring, compliance, and human oversight frameworks are essential for enterprise Voice AI adoption in regulated industries?

Scaling Across Business Functions

How can financial institutions expand Voice AI from a single use case to enterprise-wide deployments across sales, servicing, collections, and customer support?

Measuring Business Impact

Which operational and business metrics best demonstrate the success, reliability, and ROI of production-ready Voice AI deployments?

About Blue Machines

Blue Machines AI is an enterprise-grade Voice AI orchestration platform that enables organisations to deploy reliable, compliant, low-latency, and multilingual AI agents at scale. Part of the unicorn Apna Group, backed by Peak XV Partners, Tiger Global, Insight Partners, Lightspeed, Greenoaks, and Owl Ventures, the platform orchestrates STT, TTS, LLMs, enterprise systems, workflow engines, compliance controls, and real-time decisioning within a unified architecture. Built for P99 reliability, Blue Machines AI enables Voice AI agents to execute complex business workflows at enterprise scale. Its capabilities have also been demonstrated through a 60-minute unscripted live debate on national prime-time television. With its platform-plus-forward-deployment-engineering model, Blue Machines AI helps enterprises move from pilot to production in weeks rather than months.

Join the Conversation

This is a closed-door, invitation-led roundtable. Express your interest to be part of the discussion on Beyond Demo to Deployment: The Production Playbook for Voice AI in BFSI at Global Fintech Fest 2026.