There’s no scarcity of distributors promising to remodel enterprise communications with AI. What’s tougher to seek out is proof that it’s working at scale.
Carson Hostetter, EVP and Basic Supervisor of AI at RingCentral, sat down with me to speak by the place the actual traction is, what’s driving buyer adoption, and the way RingCentral is considering the highway forward.
You may watch the total interview right here.
RingCentral’s AI Enterprise Is Rising Quick
The place to begin for any trustworthy dialog about AI technique is industrial actuality. Ten % of RingCentral’s income now comes from clients who’ve bought no less than one AI product. Round 15,000 of its 500,000 clients are actively utilizing AI instruments, representing roughly $250-260 million of income for a $2.7 billion firm.
These are clients paying incremental {dollars} for merchandise they weren’t shopping for earlier than, which makes the adoption curve extra important than it would first seem.
“It’s a must to think about there’s a hurdle charge,” Hostetter stated.
“Clients at the moment are paying RingCentral extra money for one thing they weren’t shopping for from us earlier than, and most occasions weren’t shopping for wherever in any respect.”
Why Context Separates Efficient AI from the Relaxation
Ask Hostetter what makes the distinction between AI that genuinely modifications a enterprise and AI that merely will get layered on prime of current processes, and his reply is constant: context.
Not in a technical sense, however within the sensible sense of truly understanding what a buyer is making an attempt to perform earlier than constructing something.
“What RingCentral has been actually profitable at is knowing the context of our clients,” he stated.
“Numerous these things is fairly fundamental. We’re within the communications house. Clients wish to be certain that they get all of their calls answered.”
That grounded strategy is mirrored in the place the corporate has seen its strongest early outcomes. RingCentral’s AI Receptionist product, AIR, was designed round an easy premise: companies, significantly in regulated industries like healthcare, battle to employees inbound communications reliably. AIR handles calls, solutions questions, and books appointments autonomously, across the clock.
The headline instance Hostetter factors to is a Colorado psychological well being clinic now serving 60% extra sufferers since deploying AIR. Workers beforehand tied to telephones at the moment are working immediately with sufferers. Calls that will beforehand have gone unanswered exterior enterprise hours at the moment are dealt with in actual time.
“Sadly, psychological well being isn’t a nine-to-five job,” he stated. “Having the ability to catch these calls and cope with easy questions no matter after they are available in just isn’t solely good for the enterprise. It’s good for the sufferers.”
Enterprise Customers, Not IT Groups, Are Deploying This
One of many extra telling particulars in Hostetter’s account is who really arrange AIR at that clinic. Not an IT skilled or a developer, however the receptionist.
RingCentral has made accessibility to non-technical customers a deliberate design precept throughout its AI portfolio. The pitch to enterprise clients is that the one who is aware of the workflows finest, not the one who is aware of the know-how finest, must be the one configuring the instruments.
“You simply level it to an internet site, it scrapes the positioning, you join a data base when you’ve got one, give it any guardrails it wants, and also you’re off to the races,” Hostetter defined. “We’re not constructing this for IT or dev retailers. That’s a core tenet of our AI, whatever the product.”
He acknowledged that extra highly effective merchandise will inevitably carry extra complexity, however held the road on the precept. The purpose is all the time to carry configuration again to the individuals doing the job.
How RingCentral is Measuring AI ROI
On the query of how organisations ought to measure whether or not AI is definitely delivering worth, Hostetter pushed again in opposition to the metrics which have traditionally dominated the contact centre house.
Common deal with time, maintain time, and abandonment charges have been indicators constructed for a world the place the purpose was to comprise and automate interactions as cheaply as doable. Hostetter’s argument is that AI creates a chance to reframe the query completely.
“The companies we’re serving aren’t saying ‘nice, I can eliminate one individual.’ They’re saying ‘nice, I can serve twice as many shoppers. I can discuss to twice as many sufferers.’”
Quite than optimising current processes, the shoppers seeing the strongest outcomes are utilizing AI to develop what their enterprise can do.
That framing additionally shapes how RingCentral is constructing out the remainder of its AI portfolio. AVA, its AI Digital Assistant, gives real-time help to brokers throughout dwell calls. ACE, its AI Dialog Professional, analyses interactions after the actual fact to floor teaching insights and efficiency patterns. The suite is designed to boost total enterprise efficiency, not simply scale back operational price.
RingCentral’s Agentic AI Roadmap
Since this dialog happened, RingCentral has moved rapidly to increase its AI capabilities. The corporate used Enterprise Join 2026 to announce AIR Professional, a voice-first AI agent platform that brings agentic capabilities into the contact centre, constructed round a no-code improvement atmosphere referred to as AIR Professional Studio.
It’s the product Hostetter was pointing towards when he described an “AI Consultant” with broader capabilities than the AI Receptionist, capable of deal with extra advanced workflows like billing and insurance coverage claims whereas remaining configurable by enterprise customers.
The primary vertical supported by AIR Professional is healthcare, in step with the place RingCentral has constructed its strongest early case research. Monetary providers, retail {and professional} providers are anticipated to comply with.
What Organisations Ought to Take Away
For companies working by their very own AI methods, Hostetter’s recommendation is sensible slightly than prescriptive. Outline an actual enterprise purpose first. Not a value discount goal or an automation metric, however a real development goal. Then discover suppliers you belief sufficient to deal with as companions slightly than distributors.
“The breakthroughs we’ve been capable of unlock with our clients are constructed on belief,” he stated.
“We earned the precise to sit down down with these clients and say, let’s discover what you are promoting. Right here’s what’s new. Let’s have a look at how we will apply it.”
It’s a place that displays over 25 years within the communications trade, from early VoIP deployments at Nortel by large-scale contact centre work at Avaya to constructing RingCentral’s enterprise enterprise from scratch. Hostetter has watched sufficient know-how cycles play out to be sceptical of each probably the most bullish and probably the most cautious predictions round AI.
His learn is that issues will land someplace within the center, as they often do, and that organisations with clear targets and the precise partnerships will likely be finest positioned to take benefit because the know-how matures.
Watch the total interview with Carson Hostetter right here.
