2026-10-05T21:32:55Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:28060 2026-10-05T06:44:07Z ddc:004 open_access

AI-Enabling Requirements: An Industrial Experience Report from a Data-Driven Recruitment System Kopczyńska, Sylwia Ochodek, Mirosław Kosmala, Eryk Musiał, Jędrzej Mroziewski, Rafał Nitychoruk, Dominik requirements engineering AI-based systems AI-enabling requirements industry case study data-driven recruitment Requirements Engineering commonly distinguishes between functional and non-functional requirements. In AI-based systems, an orthogonal perspective might also be worth considering: whether requirements concern AI components or not. This paper reports on a 2.5-year R&D project building MONEKTO, a holistic data-driven recruitment system for a Polish temporary employment agency. The system integrates three data streams: recruitment process events, candidate and job order profiles, and employment histories - to support both candidate-order matching and employee retention prediction. Drawing on project logs covering June 2023 to January 2026, we identified three categories of requirements in AI-based systems: Non-AI-based requirements, AI-based requirements, and AI-enabling requirements. We show how these categories differ in their lifecycle: while traditional requirements stabilize after implementation, AI-enabling requirements emerge incrementally and require continuous investment throughout the system lifetime. We report five observations on the emergent nature of AI-enabling requirements and derive seven practitioner lessons for RE in AI-based system projects. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Sylwia Kopczyńska and Mirosław Ochodek and Eryk Kosmala and Jędrzej Musiał and Rafał Mroziewski and Dominik Nitychoruk 2026 Is Part Of LIPIcs, Volume 394, 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ESEM.2026.92 urn:nbn:de:0030-drops-280604 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESEM.2026.92 eng https://creativecommons.org/licenses/by/4.0/legalcode