AI Implementation Capability Assessment and Development Planning: Towards a Tool for SMEs
Year of publication
2025
Authors
Kudryavtsev, Dmitry; Moilanen, Teemu; Laatikainen, Elisa; Khan, Umair Ali
Abstract
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.
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Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Parent publication name
2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Pages
000471-000476
ISSN
ISBN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
No
Other information
Fields of science
Computer and information sciences
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
United States
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1109/sami63904.2025.10883262
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes