For telecom operators, churn is more than a customer experience issue. It is a direct hit to recurring revenue, lifetime value, and operating efficiency. In mature wireless, broadband, and pay-TV markets, subscriber growth is harder to find, competition is intense, and the cost of replacing lost customers continues to rise. Let’s face it, thought, that’s nothing new. The cost of attrition has always been greater than the cost of retention, yet operators have always leaned more into attracting new customers. The math should be simple: A higher retention rate means you have to attract fewer new customers to sustain growth.
There’s a competing budget priority, though, which fits into both retention and acquisition strategies. Providers are under constant pressure to launch new bundles faster, personalize offers more effectively, and reduce the friction between customer insight and real action.
Evergent believes many subscription businesses, especially in telecom and pay-TV, have been trying to address those pressures with systems that were built to manage accounts and billing, not to actively orchestrate retention and revenue. That’s an issue and the company has introduced its Agentic Revenue Orchestration Platform, a suite of AI-powered capabilities to solve it. It’s designed to help providers continuously analyze subscriber behavior, predict churn risk, and act on that intelligence in real time.
“We’ve entered the intelligence economy, where success depends on the ability to analyze, predict and act in real time,” said Vijay Sajja, Founder and CEO of Evergent. “Agentic AI is a fundamental step change for how subscription businesses operate. It turns passive billing into proactive revenue intelligence and genuinely personalized experiences that go far beyond content recommendations or bundled options.”
The new platform launches initially with three agents aimed at key pressure points across the subscriber lifecycle.
The retention agent identifies churn risk across subscriber segments, categorizing users into high-, medium-, and low-risk groups based on behavioral signals and recommending personalized interventions at the right moment. For telecom providers, that could mean proactively responding to usage changes, contract milestones, billing issues, or shifts in bundle engagement before a customer disconnects, downgrades, or switches.
Evergent says its churn prediction capabilities have already demonstrated accuracy levels of up to 94 percent across six active pilot deployments spanning more than 23 million subscribers.
The operations agent is designed to let business users configure new subscription packages, pricing models, and regional offers using natural-language inputs. In telecom environments, where launching new plans, promotions, and partner bundles involves significant engineering coordination, that kind of agility could help reduce time to market and operational overhead.
The customer support agent rounds out the launch with contextual engagement based on each subscriber’s history, including billing, behavior, and subscription status. For providers handling large volumes of service and billing inquiries, the promise is faster, more accurate resolution than conventional chatbots, along with seamless handoff to human agents when needed.
Telecom providers operate large-scale subscription and BSS environments that can support massive scale, but they are not always ideally suited for rapid product iterations or real-time retention action. Generic CRM platforms and standalone AI tools, on the other hand, may add engagement layers without the domain-specific depth needed to support telecom-grade subscription operations.
Evergent’s argument is that operators need both operational scale and embedded intelligence in the same platform. The company has some experience to support its position, having onboarded more than a billion users across customers in more than 180 countries. It also processes more than $8 billion in subscription transactions annually across a customer footprint that includes large subscription businesses like DIRECTV and Sky. These are the kind of high-volume environments where churn, packaging complexity, and regional offer management can materially affect results – just like telecom.
In a highly competitive environment where customers are able to switch providers more easily than ever, telecom providers need platforms that can help predict intent, personalize engagement, and protect revenue before a cancellation happens. They are no longer just selling connectivity; they are managing ongoing digital relationships across broadband, video, wireless, and bundled services. To Sajja’s point, the companies that can act on subscriber intelligence fastest will have the best chance of retaining customers.
Edited by
Erik Linask
