Digital governance requires transparent, auditable, and secure mechanisms for document circulation across public institutions. Existing workflow management and e-government systems, especially in the legislative field, often lack end-to-end auditability, leaving gaps in accountability and verification. This article introduces a blockchain-based workflow audit application designed to ensure integrity, traceability, and transparency of document exchanges and transitions in central and local administrations. This article presents a solution that oversees the auditing and monitoring of document circulation between different public institutions or within a single institution. The system is based on blockchain technology that stores data and preserves history, making every action traceable and auditable. The process of document creation involves the encryption, timestamping and addition of the document to the blockchain, the access to which is restricted only to authorised stakeholders. The system aims to enhance transparency and accuracy in the presentation of legislative process documents for public consultation. The preliminary prototype was subjected to a validation process by an end-user from the parliamentary legislative authority in Romania.

In many jurisdictions, property registration and transfers remain constrained by inefficient, paper-based processes that depend on multiple intermediaries and bureaucratic approvals. This paper proposes a decentralized, blockchain-based property platform designed to streamline these processes using Non-Fungible Tokens (NFTs) and artificial intelligence (AI) agents to modernize public-sector asset management. The work addresses the persistent inefficiencies of paper-based property registration and ownership transfer by embedding legal and administrative logic within smart contracts and automating compliance through an intelligent conversational interface. The system was implemented using Ethereum-based ERC-721 standards, React for the user interface, and Langfuse-powered AI integration for guided user interaction. The pilot implementation presents secure, transparent, and auditable property-transfer transactions executed entirely on-chain, while hybrid IPFS-based storage and decentralized identifiers preserve privacy and legal validity. Comparative analysis against existing national initiatives indicates that the proposed architecture delivers decentralization, citizen control, and interoperability without compromising regulatory requirements. The system reduces bureaucratic overhead, simplifies transaction workflows, and lowers user error risk, thereby strengthening accountability and public trust. Overall, the paper outlines a viable foundation for legally aligned, AI-assisted digital property registries and offers a policy-oriented roadmap for integrating blockchain-enabled systems into public-sector governance infrastructures.

This paper presents the design, implementation, and evaluation of a low-code document management and approval system developed on the Microsoft Power Platform. The solution integrates Power Apps, Power Automate, SharePoint Online, and Azure Active Directory to enable secure, traceable, and device-independent workflows for managing organizational documents. By combining graphical interfaces, automated approval logic, and enterprise-grade identity management, the system supports real-time collaboration and compliance with records’ governance standards. A comparative analysis with traditional enterprise content management and open-source web architectures demonstrates substantial advantages in deployment speed, scalability, and auditability. Empirical results from a six-week pilot involving multiple users indicate a reduction in approval cycle time, high user satisfaction, and strong cost-efficiency relative to conventional development models. The findings highlight how low-code ecosystems operationalize digital transformation by empowering non-technical users to automate complex workflows while maintaining security and governance integrity. This work contributes to the understanding of information system democratization, showing that low-code platforms can extend digital participation, improve organizational agility, and support sustainable operational efficiency across distributed environments.

This paper details the outcomes of a European scientific and development project aimed at developing a commercial solution for vehicle fleets, with a particular focus on assessing its usability and perceived efficiency. The solution is designed to enable businesses to optimize their routes in a more adaptive manner, taking into account a range of operational requirements, local conditions, and drivers’ expertise. The iRoute solution comprises a service for ingesting data from GPS devices, an integration layer connecting to end-customer applications, a route optimization engine, and two applications for web and mobile users. Unlike other approaches, this innovative solution leverages historical (well-known and familiar to drivers) route data to enhance, refine, and optimize routes. This approach ensures greater feasibility for drivers to follow these routes based on initial criteria such as time and distance. By incorporating historical track adjustments, we achieved up to a 20% improvement in the accuracy of executed routes, in terms of distance and time, compared to the planned route, outperforming standard optimization algorithms. This allows business owners to rely more confidently on the optimization results, providing a safer itinerary for their drivers. Due to lower incident rates on these known itineraries, the business will benefit from higher availability for their vehicle fleet and a decreased number of days in service which implies lower maintenance costs. The paper demonstrates the value of the proposed solution by statistically analyzing the feedback from dispatchers and business owners who used the iRoute solution.

Smart cities rely on digital infrastructures and utilize data-driven frameworks to enhance quality of life, optimizing public services by promoting transparency in urban and heritage management. Based on the ArchTerr project for archeological heritage protection, this study introduces an integrated framework uniting two components: GIS-based land mapping and blockchain-enabled document management. The system supports urban planning, land administration, and governance by combining spatial intelligence with secure data handling. The GIS module enables precise land mapping using geographic coordinates, facilitating spatial analysis, land use monitoring, and infrastructure planning. The document management system employs blockchain storage functionalities to ensure the immutability, transparency, and traceability of records such as land ownership documents, permits, and regulatory filings. Developed using the Design Science Research methodology, the framework translates abstract principles of data immutability and interoperability into a functional architecture that addresses persistent issues of fragmented datasets, insecure records, and limited institutional accountability and improves scalability, efficiency, and transparency in a variety of urban situations. We explored its implications for policy and governance, illustrating how interdisciplinary technology serves as a basis for transparent, accountable, and resilient urban management. This study advances theoretical understanding of how the convergence of spatial and trust-based technologies can foster geo-trusted governance and contribute to more transparent and resilient heritage management.

This article presents the results and conclusions of a research and development project for creating a commercial solution for vehicle fleets that will help businesses to have more adaptive routes optimized to the way they are running their businesses, local conditions, and drivers’ knowledge, avoiding road hazards known by drivers that frequently use the road path. Our solution consists of a data ingestion service from GPS devices, an integration layer with the end-customer applications, a route optimization engine, and two end-user applications: web and mobile. The solution presented in this article differs from other approaches as it uses historical route data to better adjust and optimize the final routes so that the results are more likely to be executed by drivers according to the initial criteria and plan in terms of distance and time. By using an innovative way of adjusting the optimized routes considering historical tracks, we obtained good results with up to a 20% improvement in terms of real executed distance and time versus standard optimizing algorithms. That means the business owners can better rely on the optimization process results, having access to a more realistic optimization plan that their drivers can easily follow.