SCHEMA FOR AI DRIVEN MUNICIPALITY

WHY A SIMPLE CHATBOT IS NOT ENOUGH

Authors

  • Leonard Walletzky Masaryk University
  • Hana Brůhová Foltýnová University of Jan Evangelista Purkyně
  • Janka Marschalková Masaryk University
  • Zuzana Hruška Masaryk University

DOI:

https://doi.org/10.66838/sauc.6440

Keywords:

Evidence Based Policy, AI Orchestration, Agentic AI for Cities, multicontextuality, Explainable AI, Smart Cities Concept, Explainable Decision Support

Abstract

Many municipalities adopt artificial intelligence without knowing if their supporting data is accurate, turning municipal decision-making into an opaque "black box." To address this, we introduce the AI Flow for Municipalities, an evidence-led orchestration system developed under the Czech CESMOD project. Built upon the national Smart Cities Concept, the system utilizes the 4-Diamonds framework and an expert-curated Information and Data Platform (IDP) to map unstructured municipal queries into multi-sectoral, policy-compliant recommendations. By providing auditable data provenance and clear contextual logic, this transparent framework enables genuinely data-driven territorial development and offers a scalable model for explainable AI governance.

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References

Buhnova, B., Kazickova, T., Ge, M., Walletzký, L., Caputo, F., & Carrubbo, L. (2022). A Cross-Domain Landscape of ICT Services in Smart Cities. In Smart Cities and Smart Grid (pp. 63–95). https://doi.org/10.1007/978-3-030-84459-2_5

Dragoicea, M., & Walletzký, L. (2020). Service Design for Resilience: A Multi-Contextual Modeling Perspective. IEEE Access, 8, 185526–185543. https://doi.org/10.1109/ACCESS.2020.3029320

Goldsmith, S., & Yang, J. (2026). AI and the Transformation of Accountability and Discretion in Urban Governance. Urban Governance, 6(2), 159–171. https://doi.org/10.1016/j.ugj.2026.02.005

L. Walletzký, L. Carubbo, & M. Ge. (2019). Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), 101–106. https://doi.org/10.1109/ICSTCC.2019.8885800

Lusch, R., & Nambisan, S. (2015). Service Innovation: A Service-Dominant Logic Perspective1. MIS Quarterly, 39, 155–175. https://doi.org/10.25300/MISQ/2015/39.1.07

Maglio, P. P., Vargo, S. L., Caswell, N., & Spohrer, J. (2009). The service system is the basic abstraction of service science. Information Systems and E-Business Management, 7(4), 395–406. https://doi.org/10.1007/s10257-008-0105-1

Ministry of Regional Development of the Czech Republic. (2021). Analytical Background for Smart Cities Concepts – Resilience through SMART Solutions for Municipalities, Cities, and Regions. https://budtesmart.cz/koncepce-smart-cities

Ministry of Regional Development of the Czech Republic. (2024). Implementation Plan for the Smart Cities Concept through 2030. https://budtesmart.cz/implementacni-plan

Neumann, O., Guirguis, K., & Steiner, R. (2024). Exploring artificial intelligence adoption in public organizations: A comparative case study. Public Management Review, 26(1), 114–141. https://doi.org/10.1080/14719037.2022.2048685

Pesch, P. J. (2025). Potentials and Challenges of Large Language Models (LLMs) in the Context of Administrative Decision-Making. European Journal of Risk Regulation, 16(1), 76–95. https://doi.org/10.1017/err.2024.99

Roehl, U. B. U., & Hansen, M. B. (2024). Automated, administrative decision-making and good governance: Synergies, trade-offs, and limits. Public Administration Review, 84(6), 1184–1199. https://doi.org/10.1111/puar.13799

Schwarzová, Z., Walletzký, L., Ge, M., & Procházka, P. (2024a). Application of context-driven methodology for implementing the smart city concept in Czech republic. ITM Web of Conferences, 62, 01002. https://doi.org/10.1051/itmconf/20246201002

Schwarzová, Z., Walletzký, L., Ge, M., & Procházka, P. (2024b). Application of context-driven methodology for implementing the smart city concept in Czech republic. ITM Web of Conferences, 62. https://doi.org/10.1051/itmconf/20246201002

Senadheera, S., Yigitcanlar, T., Desouza, K. C., Mossberger, K., Corchado, J., Mehmood, R., Li, R. Y. M., & Cheong, P. H. (2025). Understanding Chatbot Adoption in Local Governments: A Review and Framework. Journal of Urban Technology, 32(3), 35–69. https://doi.org/10.1080/10630732.2023.2297665

Stanicek, Z. (2009). SSME: Service Systems, Modeling, Execution, Education, Evaluation. SSME Study Material, Masaryk University, Brno. https://is.muni.cz/el/1433/jaro2013/PV202/um/SSMEstar_manuscript.pdf

Walletzky, L., Buhnova, B., & Carrubbo, L. (2018). Value-Driven Conceptualization of Services in the Smart City: A Layered Approach. In S. Barile, M. Pellicano, & F. Polese (Eds.), Social Dynamics in a Systems Perspective (pp. 85–98). Springer International Publishing. https://doi.org/10.1007/978-3-319-61967-5_5

Walletzký, L., Carrubbo, L., Ge, M., Schwarzová, Z., & Bayarsaikhan, O. (2023a). Multi-Contextual Smart City Model for Service Interconnections. ITM Web of Conferences, 51. https://doi.org/10.1051/itmconf/20235101001

Walletzký, L., Carrubbo, L., Ge, M., Schwarzová, Z., & Bayarsaikhan, O. (2023b). Multi-Contextual Smart City Model for Service Interconnections. ITM Web of Conferences, 51. https://doi.org/10.1051/itmconf/20235101001

Walletzký, L., Carrubbo, L., Toli, A. M., Ge, M., & Romanovská, F. (2020). Multi-contextual View to Smart City Architecture. In J. Spohrer & C. Leitner (Eds.), Advances in the Human Side of Service Engineering (pp. 306–312). Springer International Publishing. https://doi.org/10.1007/978-3-030-51057-2_42

Wang, G., Xie, S., & Li, X. (2024). Artificial intelligence, types of decisions, and street-level bureaucrats: Evidence from a survey experiment. Public Management Review, 26(1), 162–184. https://doi.org/10.1080/14719037.2022.2070243

Zhu, X. (2026). Public administration with, of, and through AI: Toward a new paradigm in the era of intelligence. Journal of Chinese Governance, 11(1), 30–57. https://doi.org/10.1080/23812346.2025.2578589

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Published

2026-10-05

How to Cite

Walletzky, L., Brůhová Foltýnová, H., Marschalková, J., & Hruška, Z. (2026). SCHEMA FOR AI DRIVEN MUNICIPALITY: WHY A SIMPLE CHATBOT IS NOT ENOUGH. Street Art & Urban Creativity, 12(5), 643–666. https://doi.org/10.66838/sauc.6440

Issue

Vol. 12 No. 5 (2026)

Section

Research articles

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