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Checklist: Choosing the Right Voice AI Platform for BFSI

Choosing the right Voice AI platform for BFSI isn’t just a technology decision—it directly impacts cost, compliance, and customer experience. This guide breaks down exactly what to evaluate, from use-case alignment and integrations to scalability and ROI, so you can make a confident, future-proof choice.

5 Steps to a Context-Ready Voice AI Handoff

The handoff is where most Voice AI deployments fail. The AI handles the call well — and then transfers to a human agent who asks the customer to repeat everything from the beginning. Five seconds and the experience collapses. This blog covers the 5 steps that make a Voice AI handoff context-ready, so your agent picks up knowing exactly who they are talking to, what was already established, and what needs to happen next.

8 Multilingual Voice AI Mistakes That Are Killing Your Call Drop Rate in India

Most Voice AI platforms in India support regional languages on paper. Very few handle them the way customers in those regions actually speak. Mispronounced names, wrong dialects, unnatural cadence, and Hindi fallback are quietly driving up call drop rates across every multilingual Voice AI deployment in India — and most businesses do not know where the leak is. This blog identifies the 8 most common regional language mistakes and what each one is costing you.

Guide to Voice AI Compliance for Banks, NBFCs & Insurers in India

Banks, NBFCs, and insurers are increasingly using Voice AI to automate customer calls—but compliance is critical. This guide explains how financial institutions in India can deploy Voice AI while aligning with telecom regulations, consent requirements, DND rules, and data protection frameworks.