AI integration with existing Swiss systems

Integration creates a bridge between existing data and context-based AI. SteP-met connects learning platforms, enterprise systems and other data sources to AI-powered analysis and support functions via suitable interfaces. This solution is not tied to one single platform; instead, it is tailored to each specific system, usage strategy and authorised context.

Connecting existing systems with targeted AI

Businesses and institutions often already have valuable data, platforms and established processes. That is precisely where SteP-met comes into play. Instead of completely replacing existing structures, suitable interfaces can make all the relevant information available for a predefined AI usage strategy.

The guiding principle remains the same regardless of the area of application: an existing data source is connected via a suitable integration structure. The relevant authorised information is then prepared and acts as the context. This permits the creation of practical, AI-generated analyses, recommendations and assistance functions.


LTI 1.3 - LMS integration - APIs - data providers - custom interfaces

LTI integration for learning platforms

In the education sector, SteP-met supports integration with existing learning platforms. For example, LTI 1.3 and other suitable LMS interfaces can be used to make learning progress, assignments, learning pathways and other authorised contextual information available in accordance with a predefined usage strategy.

This turns any learning platform into a relevant data source for context-based AI. Personalised learning support, feedback, analyses and recommendations can be built up using information taken directly from the actual learning context. This concept is suitable for educational settings ranging from lower and upper secondary education through vocational education and training to pilot and development contexts at HF/FH and university level.

APIs, SCORM and institution-ready interfaces

SteP-met follows a technology-agnostic approach. In addition to LTI and LMS integrations, APIs, data providers and custom interfaces can be used whenever they fit the existing system and the intended usage strategy. SCORM compatibility is also part of the available integration options and may be relevant for typical e-learning scenarios.

This flexibility makes it possible to accommodate different technical starting points. Sports applications, for example, may employ relevant performance or match data from a data provider. Elsewhere, corporate and customer support may utilise existing knowledge bases, products, processes and support contexts to provide the necessary information.

Clearly separating the public overview from the confidential implementation

Professional integration requires more than a technical connection. The information made available to the AI always depends on the specific usage strategy, permissions and stipulated requirements of each respective company or institution.

SteP-met thus clearly separates the public presentation of the architecture from the confidential implementation details. The SteP-met website provides an overview of integration options and the basic operating principles. It does not disclose confidential technical implementation details. This stance is designed to protect know-how and intellectual property while still enabling potential partners to understand the general approach.

Define the optimal integration for your usage strategy

Explore how your existing platforms and data sources can be connected to context-based AI via a suitable interface.