Faster purchasing decisions, fewer questions for your team, and more completed orders thanks to an AI configurator tailored to your product lineup.




We get to know your offering, your customers, and your sales process. Together, we define what the configurator should simplify and what results it should deliver.
We can also build your configurator as a Custom AI Pod, tailoring a dedicated team, scope, and workflow to the complexity of your offering.
Discover AI Pods
We design the user journey, key questions, and selection rules. You receive a prototype showing how a customer moves from a need to a product, quote, or order.

We build the configurator, implement the business logic, and test it using real-world scenarios from your product offering.

We integrate the configurator with the systems that support your processes, such as your online store, CRM, ERP, PIM, or warehouse management system.

You receive a finished configurator, documentation, and the source code. The tool is ready to support your customers and your team in their daily work.


A standard configurator presents predefined variants. An AI configurator can additionally understand the needs described by the customer, ask more relevant questions, recommend choices, and utilize approved company knowledge. Its operation remains anchored in established business rules and product data.
Yes. We build configurators with integration into the client's ecosystem in mind, such as an online store, ERP, CRM, PIM, warehouse, payment system, or marketing automation tools. We determine the scope of integration during the analysis phase.
No. It can support B2B sales, offer creation, complex order processing, product or service selection, and internal operational processes. The scenario depends on the problem it is meant to solve.
Yes. We design the configurator around your rules: compatibility, product dependencies, constraints, pricing conditions, availability, and approval processes.
We design the solution with data processing within the European Economic Area. We determine the details of the architecture and processing before implementation, according to the type of data and organizational requirements.
We incorporate AI Act requirements into the design and implementation of the solution. We tailor specific actions to the application, data, and risk level associated with the given use case.
Yes. If you first need to determine the business potential, data, costs, and expected results, we will start with an AI Opportunity Pod. This allows you to make decisions based on process analysis rather than just intuition.
Your company. Once the project is settled, we hand over the code, documentation, and all materials produced. You can continue developing the solution with X-ONE or with your own team.
We will tailor the team, scope, and workflow to one specific outcome. You still work with a clearly defined team, deadline, and scope—just perfectly matched to your situation.