Smart selection logic, real-time pricing, and visualization up to 3D, integrated with your ERP, PIM, or CAD environment. This allows your customer to independently assemble a complex product. Cube builds these custom configurators: not a plugin with limitations, but a scalable solution that speeds up quotes from days to minutes and eliminates errors from the ordering process.
Workflow automation involves automating recurring, rule-based business processes so that systems take over the work and your people can focus on tasks that require judgment.
Consider a request that comes in and has to pass through several people. Without automation, one person enters the data into the next system, another checks to see if everything is correct, and the rest wait until those steps are complete. With workflow automation, that data flows automatically from system to system, verification is done automatically, and a human only gets involved when a real decision needs to be made. Cube tailors this solution to your needs: a direct connection between your systems, with AI-driven decision-making at the points where it adds value. Not a bot that mimics human clicking, but an integration at the level where your processes actually converge.
Work that can be automated
Supertyping
Every day, someone transfers data from one system to another because the two systems aren't compatible.
Waiting
Applications remain pending until someone has reviewed them manually.
Errors
As soon as things get busy, mistakes creep into the repetitive work that you have to fix later.
Dependency
The process only runs as long as that one colleague is there, and stops as soon as they're not.
Volume
You're growing, but the process won't keep pace unless you keep adding people.
Fragmented
Steps get lost in inboxes and people’s minds, so no one has an overview of the entire process.
You know the scenario: an employee who starts the morning by retyping data, a stack of requests waiting to be checked manually, and that one process that grinds to a halt as soon as the right colleague goes on vacation. The work isn’t difficult, but it’s time-consuming. If you automate it, your people will have more time for the work that actually requires their judgment. You’ll make fewer mistakes, because a system never gets tired. You’ll process a higher volume without hiring extra staff, so growth no longer means more pressure. And because every step is logged, you’ll see exactly what’s happening. Faster, more reliable, and scalable—with control over every step.
We build custom automation that runs within your own systems and takes over your work. We connect your systems directly via their APIs, at the level where the data actually converges, and build in AI-driven decision-making at the points where a process requires a judgment call. An invoice that differs from the purchase order, a request that falls just outside the standard rules: let AI assess these and, where necessary, have a human review them. The rest runs automatically.
The work isn't difficult: it's just repetitive, error-prone, and doesn't offer opportunities for growth. Exactly the kind of work that can be automated.
Not every process is a good candidate. The best candidates are repetitive and rule-driven, have digital input and output, involve enough volume to make the investment worthwhile, and contain enough variation for AI to assess. Think of request processing, booking flows, invoice recognition, and data transfer between systems. The reverse test is just as useful: a process that isn’t formally documented anywhere and exists only in people’s minds isn’t a candidate. In that case, we first clarify the definition, and only then address the technology. That’s why we always start with your process, not the tool.
Wondering which of your processes can be automated? So are we.
Let’s start with the process itself: what steps are involved, where is the manual work, and is it defined clearly enough to be automated? Together, we’ll identify where the opportunities for improvement lie
We determine which steps can be automated and at which points a decision is needed. Based on that, we decide where AI will make the assessment and where a human will oversee the process.
We connect your systems directly via their APIs, using our own middleware instead of a bot that relies on a screen. We build AI-driven decision-making into the critical points and implement exception handling for anything that falls outside the rules.
We manage the automation ourselves, monitor the integrations, and catch any API changes as they happen. Based on that, we make adjustments so the process continues to run smoothly as your organization grows.
Shadow IT. Workflows that no one manages quietly become critical. We integrate them into a framework that your organization can oversee and maintain.
Fragile integrations. A bot that relies on a single screen breaks as soon as that screen changes. That’s why we integrate via the API, at the level where the data actually converges.
Missing exception handling. A workflow stalls as soon as something unexpected comes along. We build in advance what needs to happen in the event of exceptions.
A process that was never properly defined. This is the main cause of failed projects. That’s why we examine the process first and only automate it once it’s clear.
Cube has been automating processes for nearly fifteen years, from booking platforms and customer portals to bike-leasing platforms and LMS systems. Over the years, we’ve learned where automation runs into roadblocks in practice—and, just as importantly, where it truly makes a difference. We bring that experience to every project. We don’t build using a standard package, but rather tailor our solutions to your organization: using our own middleware, with AI where it matters most. Not just theory, but AI that’s integrated into your day-to-day operations.
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Claude (Anthropic) can process information and unlock knowledge without exposing or using sensitive data to train the AI model externally. This allows organisations to apply AI securely within internal tools, portals and business processes.
n8n is an open-source workflow automation platform that allows you to easily connect different applications and data sources. It allows you to automate tasks and processes, synchronise data and build workflows that fit exactly the way your organisation works.
Gemini is an advanced AI platform that combines natural language and other data sources to automate and improve business processes. It can interpret information, perform analysis and perform tasks within different applications and workflows.
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LangChain is a framework that enables language models to be linked to data sources, applications and workflows. It enables organisations to automate complex tasks, enrich knowledge bases and internal tools with AI, and make customer portals smarter.
PHP, or Hypertext Preprocessor, serves as a powerful scripting language for creating dynamic web pages and applications. It allows you to develop robust and flexible online solutions tailored specifically to your needs.
Python is known for its efficient performance and speed, making it ideal for data analysis, machine learning, and web development. With a wide range of modules and an active community, developers can create dynamic and customized solutions.
Vue.js, an innovative JavaScript framework, enables you to create dynamic and interactive web applications. It offers not only speed and flexibility but also a modular architecture suitable for both simple and complex projects. Its excellent documentation and performance make it even more appealing.
Let's talk about your processes
Curious about how your processes can be automated? Fill out the form and tell us what challenges you’re facing. Rogier would be happy to work with you to determine whether automation is a good fit and what the smartest first step would be.
With courage, pragmatism, and a focus on quality.
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RPA mimics human actions within existing software; it clicks like a human. Cube deliberately does not do that. We connect systems directly via API and build AI-driven decision-making into critical points. That’s more robust than a bot that relies on an unchanging screen.
Processes that are repetitive and rule-driven, involve digital input and output, have sufficient volume to justify the investment, and contain variations that AI can assess. Examples include request processing, booking flows, invoice recognition, and data transfer between systems.
