For enterprises considering the integration of agentic AI, operational reliability is a key concern. Companies don’t want to know what AI can do for them; they want to know what it will do. They need the type of proven performance metrics that Voicing AI gives the companies that trust its voice agents.
“Voicing AI is not a proof-of-concept solution,” says Abhi Kumar, Co-founder of Voicing AI. “Our platform has more than 25,000 minutes of uninterrupted AI performance that has pleased customers in industries ranging from banking to healthcare to travel. It has already shown it can be counted on to deliver. Its reliability is already proven.”
Voicing AI is an enterprise voice AI company focused on helping organizations deploy reliable AI solutions in regulated industries. Its hybrid voice intelligence stack is transforming how Fortune 2000 companies communicate by providing agents that finish the call on infrastructure the company controls.
Kumar’s background spans enterprise software and venture capital, including roles at Oracle, Microsoft, and M12, Microsoft’s venture arm, where he evaluated and invested in enterprise technology companies globally. Through his experience assessing which technologies achieved enterprise adoption, he developed a deep understanding of the challenges organizations face when implementing AI at scale. Today, Kumar focuses on bridging the gap between AI innovation and production reality by building voice AI solutions designed for real-world enterprise environments.
Voicing AI has proven it can deliver in the most challenging business situations
Often, the “proof” of performance AI companies offer involves simulations of best-case scenarios. With Voicing AI, companies see the value agents add to some of the most challenging scenarios, captured in real-world case studies. One study on the company’s website shows how Voicing AI overcame the difficulties associated with outbound collections and service notifications.
“Those familiar with enterprise telecommunications know outbound collections calls are notoriously difficult,” Kumar says. “If you don’t overcome the logistical and emotional challenges, you end up facing severe diminishing returns, which is what our client was experiencing prior to shifting to Voicing AI.”
Developing an effective platform first required addressing the reach problem associated with collections calls. Voicemail detection needed to be highly precise to prevent agents wasting countless hours listening to automated messages. And when calls were answered by a human, agents needed to be able to engage in a way that discouraged a “first-second drop-off.”
“With collections calls, you only have a one-second window,” Kumar explains. “The person receiving the call will simply hang up if they don’t experience polite and flawless engagement the exact millisecond they say ‘hello.’”
On top of addressing collections-related challenges, Voicing AI also made sure its solution would work in today’s noisy mobile environment. Its <11 millisecond automatic speech recognition (ASR) processing and <200 millisecond interrupt detection avoid the latency and interruptions that lead to the awkward pauses that frustrate customers.
Voicing AI provides purpose-built platforms leveraging proven technology
To improve its clients’ collections calls process, Voicing AI developed a multi-agent voice platform that was purpose-built for high-stress, noisy outbound scenarios. Custom text-to-speech and speech-to-text models that could handle the pace and idiomatic content of Spanish-language telecommunications use cases provided the foundation of the platform.
“The ‘barge-in’ component was the critical piece of the platform,” Kumar explains. “It allowed a rushed or angry customer to interrupt the agent — barge in — without breaking the system’s logic. If a customer were to barge in and say they paid yesterday, the agent would stop and pivot the conversation to verification.”
Once the foundation was secured, the client scaled, pushing the platform to the limit of the design. The workload included a full day of enterprise outbound volume on one platform, with concurrent language model, speech synthesis, and transcription streams held in step, and no drop in audio quality or reasoning. Voicing AI’s approach, process, and proven technology allowed the system to reach continuous, reliable coverage.
Voicing AI develops platforms that understand and meet enterprise goals
With collections calls, the top goal for voice AI is low latency. A company using voice AI gets a successful collection, rather than a “first-second drop-off,” only when platforms are able to achieve end-to-end latency that puts the reply within the window a caller interprets as a conversation, rather than a recording.
“Voicing AI’s sub-second response time, which sits right at the threshold of human perception, allowed our agents to sustain fluid exchanges even when encountering the noisiest real-world conditions,” Kumar says. “They provide fast and accurate speech that the human brain perceives as natural. In the case of our collections client, our platform was also able to scale safely to a full day of outbound calling, achieve function-call accuracy reliably, and run through its production period without an outage.”
Voice AI platforms can be game changers for enterprise businesses, but only if they truly deliver on their promises. Voicing AI has shown through more than 25,000 minutes of uninterrupted performance that it has the extreme speed, massive scale, and conversational empathy needed to reliably and accurately accomplish enterprise goals.