The increasing pervasiveness of software-intensive systems requires involving domain experts more directly in technological development. Visual models, expressed in semi-formal notations, can act as shared artefacts that support communication and collaboration between developers and domain experts. However, modelling with semi-formal notations can be challenging for novice modellers. This study presents an AI-infused, web-based modelling tool designed to support users in formalising domain knowledge without requiring advanced modelling skills. The tool features a block-based, domain-specific language that automatically transforms user-generated structures into semi-formal diagrams. AI-based functionalities include a diagram reader, contextual hints, natural-language instructions, and interaction logging. We evaluated the tool through a Wizard of Oz experiment with agronomists in digital agriculture, where participants completed an exploratory modelling task while interacting with AI assistance. Results reveal three key design implications: (i) adaptive AI support accommodating diverse modelling strategies, (ii) concise, actionable guidance delivered at moments of difficulty, and (iii) practice-oriented assistance that preserves user agency and supports learning-by-doing.

[Context and motivation] Digitalisation in agriculture is a socio-technical process that involves multiple stakeholders with diverse backgrounds and skills, e.g., in farming or technology. Capturing process transformation requires focusing on different dimensions, i.e., system structure, process flow, and actors' goals. Model-driven requirements engineering (MoDRE) techniques can offer the means to elicit and represent this multi-dimensional information. [Question/problem] This research investigates how MoDRE techniques can support the information exchange within interdisciplinary teams involved in the representation of process transformation in digital agriculture. [Principal ideas/results] We propose a method for process modelling in agricultural domains consisting of (1) a set of different diagrams, namely UML, i* and BPMN, (2) a procedure based on guidelines and (3) a tool to support the co-creation of the diagrams within the context of living labs (LLs, i.e., networks of stakeholders involved in a common socio-technical system). We plan to apply the method through action research in the context of 20 European living labs in the agricultural domain and evaluate the method through standard user questionnaires. [Contribution] There is little empirical evidence on using MoDRE techniques in real-world environments. This study fills this gap by developing a method for socio-technical process modelling in co-design contexts.

This contribution presents ModeLLer, a prototype of a web tool for system modelling based on a block-based visual editor. The aim of ModeLLer is to enable collaborative environments in requirements elicitation, allowing end-users to create UML class diagrams without any knowledge of the (semi-)formal UML notation.