A client was paying per employee for a tool where half the features never got touched. Here's how one connected license fixed that.
Paying per seat can get expensive fast for an SME. When a tool is used to its full capacity and it's genuinely useful in your day to day, the price makes sense. But what about when you're only using a small percentage of that tool? Maybe the managers use it fully, but not the employees. That was the case for one of our clients.
They were paying for a timesheet management tool billed per employee. A price per person, every month, for a tool where more than half the features never got used. Nobody in the company was using half of what they were paying for. Worse, employees were only touching one feature: the timesheet itself. So why pay the same price for a manager who wants every feature and an employee who just wants to log their hours?
We looked into it closely. The problem wasn't the tool itself, it was the model: paying for unused capacity, multiplied by every employee, every month, without end. What if that bill, the one that keeps coming back every month, could just be smaller?
What we built
We built a small application on the side, connected to a single paid license. Every employee now sees just what they need to log their time. No extra modules, no hidden feature buried in a menu nobody opens. It even matches the company's look. A small bonus.
The concrete result: no more per-employee annual payments. One license now does the work for the entire company.
What AI changes in this kind of project
Our development process, built and refined by experts, combined with artificial intelligence, lets us build exactly what you need, at a price and within a timeline that didn't exist before.
A custom tool like this, connected to what already exists, would have taken longer and cost more to build a few years ago. Today, our development process, built and refined by experts using the most recent methods and technologies, combined with artificial intelligence, lets us deliver this kind of solution at a price and within a timeline that didn't exist before.
AI didn't replace the work of understanding the real problem, in this case a per-head billing model rather than a lack of features. Our team is the one who spotted that. AI then helped build the solution faster.
The investment pays for itself within a matter of months.
What about you
If you're still paying per employee for a tool that half your team never opens in full, that's probably not a fatality. We can sit down with you and look at what a single, well-connected license could replace at your place, or even whether you could stop paying for a license altogether.
-ÈL
