Rev.io COO On Doubling Revenue By 2028: ‘Our Focus Is Squarely On Service Providers’

‘In two years, I’d like us to be roughly double our size. We’re around 1,000 service providers today, I see us north of 2,500. Revenue‑wise, we’re around $40 million today and expect to be closer to $70–75 million,’ says Evan Rice, president and COO of Rev.io.

For most of its 20‑plus‑year history, Rev.io has been best known for its communications billing tools, but the Atlanta‑based vendor now is making a more intentional move toward MSPs with plans to double in size by 2028.

“In two years, I’d like us to be roughly double our size,” Evan Rice, president and COO of Rev.io, told CRN in an interview. “We’re around $40 million in revenue today, and we expect to be closer to $70 to $75 million. Our focus is squarely on service providers.”

That growth strategy is centered on MSPs grappling with scale. Rice said most MSPs are engineer‑first organizations challenged by headcount and manual workflows that limit how fast they can grow.

“Their biggest challenge is scalability,” Rice said. “They can only take on so many customers per technician, and they’re constantly fighting for talent. Our mission at Rev.io is to help MSPs grow revenue efficiently. In other words, how do you scale without linearly adding headcount?”

Its answer is an AI‑first platform designed not just to assist technicians but act as digital labor. The company has rebuilt its technology stack from the ground up combining PSA, communications billing and payments into a single system of record. And AI capabilities already allow users to interact conversationally with the platform and execute tasks.

“You can talk to it, it can talk back, it can do things in the system and show you what it did,” he said. “We’re evolving that toward longer‑running agentic automation, things like password resets or simple service requests that don’t require a human technician.”

Looking ahead, Rice expects Rev.io’s business model to evolve toward outcome‑based pricing with customers paying for tangible results delivered by the platform.

“We’ll be selling outcomes, not seats,” he said. “Pricing will be based on what the software actually does: tickets closed, revenue generated, work automated…not how many users log in.”

CRN spoke further with Rice about Rev.io’s AI strategy, growth plans and how the company is all in on MSPs.

What operational challenges are you seeing most among MSPs and telecom providers today, and how is Rev.io helping address those challenges?

The challenges are very different depending on which side they come from. MSPs tend to be engineer‑first organizations. They’re smaller, often local, very technology‑focused, and they usually grow through word of mouth rather than aggressive sales. Their biggest challenge is scalability. They can only take on so many customers per technician, and they’re constantly fighting for talent. Our mission at Rev.io is to help MSPs grow revenue efficiently. In other words, how do you scale without linearly adding head count?

That’s where automation and AI come in. Our native AI, Revii, already has agent‑style capabilities. You can talk to it, it can talk back, it can execute tasks in the system and show you what it did. We’re evolving that toward longer‑running agentic automation, things like password resets or simple service requests that don’t require a human technician.

Internally, about 80 percent of our own tickets are what we classify as low‑complexity ‘ones.’ That’s true for MSPs too. Automating those tasks, from quote to cash and through service delivery, lets providers focus on growth instead of firefighting.

Communications providers are almost the opposite. They’re very sales‑driven, often reselling other companies’ technologies. They’re dealing with price compression, commoditization and changing customer behavior. They’re being forced to expand into managed services, security and IT, often without having the in‑house expertise. Our advantage is the data, and we’ve supported nearly 1,000 service providers over more than 20 years. We understand the behavior, the workflows and the economics, and now we’re building AI automation around that to help both MSPs and communications provider’s scale.

As COO, what is your biggest challenge right now?

I span a lot of the business: marketing, sales, onboarding, client success and product. Over the last year and a half, my focus has been heavily on product. We started as a sales‑driven organization with a very strong but poorly distributed product. We solved that problem and we’re now deeply embedded in the communications billing market.

The challenge over the last two years has been reinvention. Rev.io was nearly a 20‑year‑old platform. Tigerpaw, which we acquired, was a 40‑year‑old platform. That’s roughly 60 years of accumulated development that we decided to rebuild in about two years. That’s only possible by deeply leveraging AI. More than 90 percent of our code today is AI‑written, with humans in the loop. We’ve completely re‑engineered our software development lifecycle to be AI‑first and we’re using, internally, the same agentic processes we want our customers to benefit from.

What is Rev.io investing in this year, and what does your 2026 roadmap look like?

“Our roadmap has two major components. The first is finishing the rebuild and bringing 40 years of functionality into a modern, unified platform with a radically better user experience. That includes PSA parity and the deep integration catalog the channel expects. The second phase is about true digital labor. Long‑running, agentic automation that doesn’t just assist users but actually performs work on their behalf. We believe SaaS is moving away from point solutions layered on systems of record. Rev.io is the system of record. We manage customer data, financial transactions, billing and payments. That puts us in a unique position to deliver AI‑driven outcomes rather than just software features.

So what is your M&A strategy going forward?

We’re in the later stages with our current private equity partner, Primus Capital Partners, who invested in 2020. Once we bring on a new partner, I fully expect us to become acquisitive again.

We’re most interested in adjacent technologies: managed security, managed AV, field service, mobile workforce capabilities. We also tend to favor distressed or legacy platforms, because we believe we can migrate those customer bases into a dramatically better experience.

What differentiates Rev.io from the competition?

We’re building a vertically specialized, end‑to‑end platform on a modern stack with AI built in from the first line of code. The platform is optimized not just for humans, but for machines. If you still have to manually onboard a customer, the system isn’t elegant enough. With Rev.io, you can ask the system how to do something, and then ask it to do it for you. That ability to unify data, automation and context in a single experience is what sets us apart.

So what does Rev.io’s AI strategy look like going forward?

All of our AI is developed in‑house, but we leverage best‑of‑breed models like OpenAI through Azure, Claude and others. We switch quickly as models improve. We’re AI‑first internally. Before hiring a new employee, we ask whether the work can be automated. Our chief AI officer oversees both the platform and how we use AI internally. We believe if we can automate ourselves, our customers can do the same.

Where do you want Rev.io to be in two years?

In two years, I’d like us to be roughly double our size. We’re around 1,000 service providers today, I see us north of 2,500. Revenue‑wise, we’re around $40 million today and expect to be closer to $70–75 million.

More importantly, we’ll be selling outcomes, not seats. Pricing will be based on what the software actually does: tickets closed, revenue generated, work automated…not how many users log in.

Finally, what’s your message to MSPs who are hesitant to move off legacy platforms?

We believe MSPs deserve the same level of technology they deliver to their customers. The fear around migration is understandable, but things that used to be impossible aren’t anymore. We handle migrations in‑house. We don’t push that off to third parties. We’ve been doing complex billing migrations for decades, and we bring that same rigor to PSA and ITSM.

MSPs don’t have to rip and replace everything on day one. We’re open, extensible and built for land‑and‑expand. But once they experience a centralized, AI‑driven platform, the value becomes very clear.