Building Voice AI as the new digital front door

Introduction

In today’s AI-first world, conversational AI is no longer optional. It has become foundational for delivering seamless, human-like experiences across every channel. By combining Deepgram’s cutting-edge speech intelligence with Kore.ai’s enterprise-grade agent platform, enterprises can unlock a powerful synergy: scalable, multilingual, voice-first dialogue flows that drive engagement and measurable ROI.

Why This Matters Now

Research shows that by 2026, one in ten customer service interactions will be automated — with conversational AI projected to reduce agent labor costs by nearly $80B. This shift is being driven by the rapid rise of voice automation, where voice interfaces enable faster, more natural interactions and expand accessibility for diverse user bases.

The shift toward voice automation is accelerating. Voice interfaces provide faster, more natural interactions while also boosting accessibility for diverse user bases. For enterprises, the challenge isn’t just deploying bots—it’s deploying intelligent systems that understand users well and respond contextually at scale with analytics, compliance, and real-time insights, especially in regulated industries. Kore.ai brings unmatched agent orchestration and AI analytics to the table, while Deepgram specializes in speech transcription, endpointing, interim results, and nuanced voice handling. Together, they form a strong backbone for the next generation of AI agents.

Integration Overview

At the heart of this integration is seamless interoperability between Kore.ai and Deepgram. Deepgram delivers highly accurate, real-time transcription with streaming delivery, silence detection, confidence scoring, and metadata enrichment. Kore.ai ingests these outputs, detects intent, and orchestrates adaptive responses. The result is a fully managed voice AI assistant capable of natural interruptions, expressive personalities, and adaptive handling, without the need for custom coding.

Why Deepgram + kore.ai?

Use Case #1: Voice-First Contact Center

High call volumes, long wait times, and agent burnout remain some of the toughest challenges in customer service. With Deepgram and Kore.ai working together, enterprises can deploy voice-first assistants that qualify calls, automatically answer routine questions, and escalate to human agents when appropriate. Deepgram transcribes calls in real time, capturing every nuance of the conversation, while Kore.ai identifies intent, triggers workflows, and logs analytics for continuous feedback. The impact is measurable: faster resolution times, higher containment rates, and deep analytics that drive continuous optimization.

Use Case #2: Financial Services Virtual Assistant

Financial institutions face strict compliance requirements, legacy processes, and a diverse, multilingual customer base. This joint solution helps modernize customer interactions without compromising compliance. Virtual assistants can authenticate users, manage KYC questions, and route high-risk issues with confidence. Deepgram’s endpointing ensures that every utterance is captured in full, while Kore.ai provides detailed analytics on intent trends, channel engagement, and compliance adherence. The outcome is reduced support costs, improved consistency, and stronger customer trust across markets.

Looking Ahead

This collaboration also sets the stage for the future of enterprise voice. Deepgram’s Nova-3 model and advanced text-to-speech capabilities introduce expressive and professional voices like Helena, Electra, Thalia, and Vesta. These integrate seamlessly into Kore.ai’s Voice Gateway, where enterprises can configure primary and fallback ASR/TTS providers for resilience. Combined with Kore.ai’s no-code design tools, businesses gain the ability to prototype, deploy, and refine conversational flows faster than ever, while ensuring high-quality, contextual, and compliant interactions.

Conclusion

When Deepgram’s speech intelligence meets Kore.ai’s orchestration depth, enterprises gain more than just bots. They get a foundational model-driven conversational AI engine—voice-first, multilingual, compliant, and built to scale. This is how the next generation of enterprise voice is being reimagined, and it’s already here.