The AI-driven options developed for enterprise-scale use are enhancing buyer experiences, decreasing name dealing with occasions, and automating hundreds of thousands of day by day interactions throughout industries similar to banking, insurance coverage, and retail.
In a presentation at MLDS 2025, AI innovators at Gnani ai showcased how AI-powered voice brokers they developed are reworking industries.
Ganesh Gopalan, CEO and co-founder of Gnani.ai, shared an instance the place an AI voice agent helped a consumer who had forgotten about their PAN card utility inside simply 24 hours.
Voice Brokers That Speak, Suppose, and Help in Actual Time
AI voice brokers are extra than simply chatbots. “They’re the following degree of automation—dealing with real-time conversations at scale,” Gopalan defined.
Their AI-powered voice customer support brokers have already processed over 30,000 concurrent calls and hundreds of thousands of day by day interactions.
The expertise works throughout platforms, together with phone, WhatsApp, and iMessage, automating customer support and decreasing operational prices.
“Our AI can decrease name dealing with time by 15% and enhance outcomes for buyer help brokers by 40%,” Gopalan shared.
The Challenges of Constructing AI Voice Brokers
Creating an AI voice assistant just isn’t so simple as utilizing a chatbot. Bharat Shankar, co-founder and chief product officer at Gnani.ai, highlighted the necessity for high-quality speech recognition that works throughout numerous accents and languages.
One other main problem is dealing with interruptions naturally, as clients steadily lower in throughout conversations. “Clients interrupt rather a lot. AI should course of interruptions easily,” he stated.
Additionally, decreasing response time can also be crucial since lengthy pauses negatively affect consumer expertise. “Lengthy pauses kill the expertise. Our AI responds in underneath two seconds,” Shankar famous.
Whereas information safety stays a high precedence, particularly for enterprises that require strict compliance, scaling AI-powered conversations requires superior cloud infrastructure to deal with hundreds of thousands of conversations day by day.
AI That Thinks and Speaks Immediately
To unravel these challenges, Gnani.ai has developed a “speech-to-speech LLM” (Massive Language Mannequin) that processes each audio and textual content concurrently for quicker, extra environment friendly interactions.
“That is the long run—AI that thinks and speaks immediately,” Shankar stated, revealing that the expertise shall be showcased at NVIDIA’s GTC convention in California in March.
Within the insurance coverage sector, a dwell demonstration was showcased the place an AI-powered assistant seamlessly dealt with buyer queries by greeting callers politely, switching languages from English to Hindi mid-conversation, recognising buyer preferences, and providing customised insurance coverage.
The whole interplay was accomplished in underneath two minutes, together with a WhatsApp hyperlink for doc submission. In banking and authorities companies, AI voice brokers are serving to streamline processes, similar to retrieving PAN card particulars in document time, demonstrating how AI can enhance authorities companies. “Clients not want to attend days for a easy question—AI hurries up the method,” saidGopalan.
Agent Builder Platform
To make AI adoption simpler, Gnani.ai launched an “Agent Builder” platform, an end-to-end instrument for companies to create, take a look at, and deploy AI-powered voice brokers. The platform provides help for 40+ languages, 400+ pre-built AI templates, real-time voice orchestration, and seamless CRM and enterprise integrations.
“With one click on, firms can deploy AI brokers and automate conversations immediately,” stated Shankar.
Trying forward, AI voice brokers will perceive feelings and modify their tone, seamlessly swap between a number of languages, and deal with advanced multi-step duties robotically.
As companies more and more depend on AI to scale back wait occasions, enhance accuracy, and improve human-like interactions, early adopters will achieve a major aggressive edge. “The longer term is right here. AI voice brokers are usually not simply altering companies—they’re reworking buyer experiences ceaselessly,” Gopalan concluded.
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