Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Customer churn is predictable, but most organizations act too late
You're sittting on some of the richest behavioral data of any sector: usage patterns, billing history, support interactions, product adoption signals... Yet most churn prevention is still reactive, triggered after a customer has already decided to leave.
Operational complexity is growing faster than reporting can keep up
Networks, platforms, and infrastructure generate enormous volumes of data across dozens of systems. Manual monitoring cannot scale with the complexity, and the cost of missing a signal shows up fast.
Upsell and cross-sell potential goes untapped
With large captive customer bases and broad product portfolios, commercial teams cannot identify which customers are ready to upgrade. Campaigns go out to everyone, and incremental revenue gets left on the table.
Solutions
The solutions we offer
AI-powered churn prediction and retention
We build machine learning models that flag churn risk early and tell you which customers are at risk, why, and what intervention is most likely to work. Deployed directly into your CRM so your teams can move fast on the right customers.
Operational analytics and performance monitoring
We connect your operational data into unified dashboards and AI-driven monitoring tools that give technical and leadership teams a live view across your infrastructure. Less time investigating incidents after the fact, more time preventing them.
Upsell and next-best-action models
We build AI recommendation engines that identify the right product, the right moment, and the right channel for every customer in your base, based on actual usage and behavioral signals. More relevant outreach, higher conversion.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories
From maps to meaning: turning geographical data into actionable business intelligence
Discover how a public regulator transformed complex geographical data into actionable business intelligence. Learn how we improved efficiency by 60% and reduced mapping errors by 80%.
Competitive pricing with a dynamic model in telecom
A Belgian company operating in the telecom sector must regularly compare the price of their products and services. However, keeping an up-to-date method to compare product pricing between different operators in different countries was challenging. Done manually with Excel, it took a lot of time and often resulted in human error.
Churn prediction in telecom: turning data into customer retention
A telecom operator experienced a problem with customer retention, representing hundreds of millions of euros each year.
