AI Implementation Capability Assessment and Development Planning: Towards a Tool for SMEs
Kudryavtsev, Dmitry; Moilanen, Teemu; Laatikainen, Elisa; Khan, Umair Ali (2025)
Huom! Embargollinen tiedosto,
avautuu julkiseksi: 20.02.2027
avautuu julkiseksi: 20.02.2027
Kudryavtsev, Dmitry
Moilanen, Teemu
Laatikainen, Elisa
Khan, Umair Ali
Institute of Electrical and Electronics Engineers
2025
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20251007100230
https://urn.fi/URN:NBN:fi-fe20251007100230
Tiivistelmä
Small and medium-sized enterprises (SMEs) lag behind in AI adoption and require support to assess and enhance their AI implementation capabilities. Such support is often provided via advisory sessions, but there is a potential to automate these tasks partially. Needs analysis identified the following key requirements for the supporting tool: 1. Ability to suggest and select improvement actions (prescriptive functionality) in addition to the assessment of current state (descriptive functionality); 2. SMEs-focus, which is mostly reflected in the selection of maturity assessment indicators and emphasis on low maturity levels; 3. Completeness justification of AI implementation capability assessment. The existing AI maturity models do not satisfy all these requirements, so there is a need to develop a new tool. The paper presents an ongoing research project aiming to create an AI implementation capability development planning tool for SMEs (AICapDev). This tool will include a prescriptive maturity model for AI implementation capability and roadmap drafting component to prioritise and plan improvement action. The current paper presents the preliminary research results, more specifically problem definition and requirements specification, description of the AICapDev tool and its usage demonstration. The future work presented in the conclusion.