120 times in a 100-minute presentation. Yes, that’s the count for the number of times speakers mentioned Artificial Intelligence (AI) at a recent tech conference! [1] It’s a reflection on how AI is on everyone’s mind, with enterprises large and small, eager to understand and explore how to use it in their operations.
Concepts such as agentic AI, autonomous systems, predictive intelligence, and frictionless customer experiences are dominating conversations in boardrooms and leadership agendas across industries.
AI is now a business priority, and the hunger to adopt it, is peaking with the eagerness to adopt AI stemming from the conviction of its potential to dramatically boost enterprise growth, performance, and revenue.
Yet, in practice, how many of these businesses have applied AI? Do real-life cases exist? How easy or difficult is it to put these into action?
At Aprecomm, we have asked ourselves the same question. Over the last few years we’ve been actively exploring AI, embedding it into our processes, and into our algorithms to meet real world needs and deliver tangible results.
This persistence has paid off. In February this year, at The Fast Mode Awards 2026, one of the telecom industry’s latest and most competitive recognition programs, Aprecomm and broadband service provider, Fibernet, were recognized with the AI & GenAI Pioneer | Telco – Impact award – an award that validated our efforts in delivering measurable impact through the application of AI technologies.
The Problem Nobody Wanted to Talk About
ACT Fibernet (ACT) is a valued and key Aprecomm customer, and one of India’s largest fixed-line broadband providers. ACT faced a deceptively simple challenge on the surface: customer churn was holding back potential growth and undermining planning certainty. The reason was customer impatience with the WiFi quality at home.
It wasn’t just a speed problem. It was the channel interference from neighboring networks, lag from device congestion, and bandwidth hogging by background applications that was quietly degrading the experience of the subscriber. And that gap between “the internet is working” and “the internet feels broken” is where trust was eroding and leading to churn.
The traditional “reactive” response of waiting for a complaint, dispatching a technician, and resolving the issue was no longer satisfying the customer. Moreover, it was also expensive, slow, and by the time it was resolved, the customer had already decided that they were unhappy.
ACT Fibernet needed something fundamentally different. They needed an AI that could see the problem before the customer did.
What Aprecomm’s AI Actually Does For Businesses
Aprecomm’s platform is built around a core insight: Quality of Experience (QoE) is not the same as Quality of Service. A network can be technically healthy while still delivering a poor experience. What matters is what the subscriber actually experiences. Like the video call that stutters, the game that lags, and the stream that buffers.
To close this gap, Aprecomm put into action, an AI-powered solution across ACT Fibernet’s home subscriber base.
AI in Practice
The solution was Aprecomm-developed agentic AI solution, ACT SmartWi-Fi®. This platform works to optimize every device and application to enable a superior WiFi experience delivering among several other benefits, improved speed, reduced latency, and enhanced reliability.
Here is how the Aprecomm’s AI works in actual practice:
Continuous, real-time monitoring. The AI platform monitors WiFi performance at the application level. It monitors not just whether the connection is alive, but how each application is performing across every connected device. This generates a continuous stream of data that forms the basis for all downstream decisions.
Intelligent channel optimization. WiFi channels are a shared, contested resource. The AI continuously analyses channel utilization across the environment and automatically shifts devices and access points to less congested channels. This happens invisibly without subscriber involvement or a wait for a problem to be reported.
Traffic management by application priority. Not all traffic is equal. A video call has different latency requirements than a file download. Aprecomm’s QoE engine classifies traffic by application type and manages bandwidth allocation, accordingly, ensuring that high-priority, real-time applications get what they need, even when the network is under load.
Predictive issue resolution. Rather than waiting for a threshold breach or a support call, the platform identifies patterns that precede degradation and acts proactively. A device that is consistently underperforming, a channel that is trending toward saturation, a router exhibiting early signs of stress — the AI flags and responds to these signals before they become visible to the subscriber.
Unified visibility for support teams. ACT Fibernet’s support teams gained access to a real-time dashboard showing network health across the entire subscriber base. When a call comes in, agents have full context: device history, recent channel changes, application performance data. First-call resolution improves because the agent is no longer diagnosing blind.
Six Months In at ACT: What Changed
Results started showing at the six-month mark post the deployment across ACT Fibernet’s home subscriber base.
Quality of Experience (QoE) scores rose significantly. As the AI optimized channels, managed traffic, and resolved issues proactively, subscribers began experiencing the kind of consistent, reliable connectivity that broadband providers promise but rarely deliver at scale. A 3X times improvement in speed was recorded. Latency dropped by 15%. Device QoE scores improved by an average of 20% over the 1.35m homes where deployment was complete.
Support call volumes fell. With the AI catching and resolving issues before subscribers noticed them, the volume of inbound support calls dropped by 25%.
As the experience improved and complaints decreased, subscriber retention improved. The customers who had been leaving because of unpredictable WiFi quality had fewer reasons to leave.
Why This Matters for ISPs
The ACT Fibernet deployment illustrates something that is easy to miss in the broader AI conversation: genuine AI maturity lies in its appropriate and specific use in the application.
Aprecomm deployed a system with a precise understanding of how WiFi degrades, how application performance maps to subscriber experience, and how proactive intervention translates into business outcomes. The AI use is interesting because the outcome is measurable and commercially useful.
For ISPs evaluating AI investments, this distinction matters enormously. Instead of focusing on whether a platform uses AI, it is more important to ask how AI is used and if it is successfully closing the gap between what the network provides and the experience subscribers expect.
For ACT Fibernet, over six months of deployment, the answer was yes. Ravi Karthik, Chief Marketing and Customer Experience Officer of ACT Fibernet, stated “We are thrilled to see the transformative impact of ACT SmartWi-Fi® on our customers’ digital lives. Our initial launch data validates our commitment to delivering our promise—ensuring a significantly superior online experience for our customers. Whether streaming on a Smart TV, working on a laptop, or browsing on a mobile device, ACT is redefining what high-performing internet looks like in Indian homes.”
Aprecomm manages over 7 million home and business locations and partners with more than 50 service providers worldwide. The company won both the Analytics & Intelligence Champion and the AI & GenAI Pioneer awards at The Fast Mode Awards 2026.
[1] https://timesofindia.indiatimes.com/technology/tech-news/sundar-pichai-responds-to-viral-ai-ai-ai-meme-elon-musk-tempted-to-join-in-the-fun/articleshow/110244042.cms
