There’s no scarcity of distributors promising to rework enterprise communications with AI. What’s more durable to search 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 way of the place the true traction is, what’s driving buyer adoption, and the way RingCentral is considering the street forward.
You’ll be able to watch the complete interview right here.
RingCentral’s AI Enterprise Is Rising Quick
The start line for any sincere dialog about AI technique is business actuality. Ten % of RingCentral’s income now comes from clients who’ve bought at the least 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’d first seem.
“You must think about there’s a hurdle price,” Hostetter mentioned.
“Prospects are actually paying RingCentral extra money for one thing they weren’t shopping for from us earlier than, and most occasions weren’t shopping for anyplace in any respect.”
Why Context Separates Efficient AI from the Relaxation
Ask Hostetter what makes the distinction between AI that genuinely adjustments a enterprise and AI that merely will get layered on high of present processes, and his reply is constant: context.
Not in a technical sense, however within the sensible sense of really understanding what a buyer is attempting to perform earlier than constructing something.
“What RingCentral has been actually profitable at is knowing the context of our clients,” he mentioned.
“Numerous these things is fairly fundamental. We’re within the communications house. Prospects wish to be sure 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 a simple premise: companies, significantly in regulated industries like healthcare, wrestle 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. Employees beforehand tied to telephones are actually working immediately with sufferers. Calls that might beforehand have gone unanswered outdoors enterprise hours are actually dealt with in actual time.
“Sadly, psychological well being isn’t a nine-to-five job,” he mentioned. “Having the ability to catch these calls and take care of easy questions no matter once they are available shouldn’t be 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 that is aware of the workflows finest, not the one that is aware of the expertise finest, must be the one configuring the instruments.
“You simply level it to a web site, it scrapes the location, 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 outlets. 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 folks 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 towards 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 include and automate interactions as cheaply as attainable. Hostetter’s argument is that AI creates a possibility to reframe the query totally.
“The companies we’re serving aren’t saying ‘nice, I can eliminate one individual.’ They’re saying ‘nice, I can serve twice as many purchasers. I can discuss to twice as many sufferers.’”
Moderately than optimising present 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, supplies real-time help to brokers throughout dwell calls. ACE, its AI Dialog Skilled, analyses interactions after the very fact to floor teaching insights and efficiency patterns. The suite is designed to lift total enterprise efficiency, not simply cut back operational value.
RingCentral’s Agentic AI Roadmap
Since this dialog came about, 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 growth setting known 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, in a position to 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 keeping with the place RingCentral has constructed its strongest early case research. Monetary companies, retail {and professional} companies are anticipated to observe.
What Organisations Ought to Take Away
For companies working by way of their very own AI methods, Hostetter’s recommendation is sensible relatively than prescriptive. Outline an actual enterprise purpose first. Not a price discount goal or an automation metric, however a real progress goal. Then discover suppliers you belief sufficient to deal with as companions relatively than distributors.
“The breakthroughs we’ve been in a position to unlock with our clients are constructed on belief,” he mentioned.
“We earned the proper to take a seat down with these clients and say, let’s discover what you are promoting. Right here’s what’s new. Let’s take a look at how we will apply it.”
It’s a place that displays over 25 years within the communications business, from early VoIP deployments at Nortel by way of large-scale contact centre work at Avaya to constructing RingCentral’s enterprise enterprise from scratch. Hostetter has watched sufficient expertise 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 typically do, and that organisations with clear targets and the proper partnerships will likely be finest positioned to take benefit because the expertise matures.
Watch the complete interview with Carson Hostetter right here.
