Government agency launches tender for generative AI assistant system
A central government body seeks a secure generative AI system to boost staff productivity, signalling growing demand for practical AI tools in administration.
A central government body seeks a secure generative AI system to boost staff productivity, signalling growing demand for practical AI tools in administration.
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Direktoratet for forvaltning og økonomistyring (DFØ) has gone to market for a generative artificial intelligence system to support its staff. The Generative AI System for DFØ contract notice, published on 15th July 2026, covers a new digital work surface with access to AI assistants, the infrastructure behind it, support for secure data use, and full implementation and training. The move shows a central government directorate treating AI assistants as a mainstream tool for improving employee productivity and the quality of day-to-day work.
According to the notice, DFØ is seeking “a generative artificial intelligence system to enhance employee productivity and quality”. The scope is broad, combining software, infrastructure and change support in a single procurement. The requirement includes:
Packaging core functionality with infrastructure and training suggests DFØ wants a complete service rather than a narrow pilot. By asking for a work surface with AI assistants, the directorate is signalling that it expects tools embedded directly in the environment where officials already work, instead of niche systems sitting apart from everyday tasks.
DFØ is not alone in exploring AI assistants for officials. In February 2026, Ministerstvo vnitra published a contract notice for an AI Assistant for Administration. That procurement covers delivering and implementing a web cloud application AI assistant to support public officials in administrative proceedings, together with its ongoing operation and development as directed by the contracting authority.
City administrations are also testing broader AI platforms. In May 2026, Statutární město Brno launched the AI Platform for Brno City project to design and implement a multi-agent AI platform. The plans include integrating public communication with internal automation processes and deploying chatbots and AI agents, with a clear emphasis on scalability and high service availability.
In the health sector, contracting authorities are turning to AI to reshape planning and support functions. In February 2026, SYKEHUSINNKJØP HF began a competitive dialogue for a KI-based Work Plan Generator for health companies in Helse Nord RHF. In June 2026, the Regional Specialist Hospital in Grudziądz issued an AI Solutions for Hospital Processes notice to procure an AI and machine-learning platform that will enhance both medical and management processes, backed by user training, technical support and principles of environmental and sustainable development.
Taken together, these procurements point to a shift from experimental AI trials to operational systems that sit alongside core business tools. DFØ’s planned generative AI work surface fits this pattern, positioning AI as a co‑pilot for civil servants rather than a separate, specialist technology.
One of the more striking elements of DFØ’s specification is the explicit requirement for support for secure data usage. For a central directorate dealing with finance and management issues, the data handled by employees is likely to be sensitive, so providers will have to show how they can protect information while still delivering useful assistance.
Elsewhere in Europe, buyers are starting to frame AI procurements around governance and regulatory compliance. In February 2026, Helsingin kaupunki issued an information request titled Management System for AI Information Request. The city wants to understand market solutions for a management system that complies with the EU AI Act and helps it manage and document obligations related to its artificial intelligence systems.
Managing risk and transparency is also central to projects that use AI to support funding decisions. In February 2026, the Wojewódzki Fundusz Ochrony Środowiska i Gospodarki Wodnej w Katowicach launched an Automation of Application Handling procurement for an information system with AI capabilities to automate the assessment of applications for funding. The scope includes technical support, staff training and space for future modifications, underlining that governance is an ongoing task rather than a one‑off configuration exercise.
From the short description available, details such as volumes, timelines or specific use cases for DFØ’s system are not visible. Even so, the reference to secure data usage places similar weight on governance, training and process design. Suppliers will need to convince the directorate that generative systems can be controlled, audited and aligned with internal rules while still offering tangible productivity gains.
Beyond individual platforms, several public bodies are procuring long‑term access to AI expertise. In January 2026, Keski-Uudenmaan hyvinvointialue began an Expert Services for AI and Data Management tender, seeking specialist support in data‑driven management and AI‑assisted services for the Central Uusimaa welfare area, with a focus on enhancing operational efficiency and using AI agents.
In July 2026, govdigital eG went to market for comprehensive AI Development Services covering the design, integration and quality assurance of AI solutions in public administration. The procurement sets out personnel requirements across a range of roles and stresses language and security qualifications, reflecting the need for multidisciplinary teams to deliver trustworthy AI.
In June 2026, Oikeusrekisterikeskus invited bids for Artificial Intelligence Expert Services to support various projects within the Ministry of Justice. The contract will cover system development and maintenance, with assignments directed by the Legal Register Centre, giving the ministry flexible access to specialist skills as needs evolve.
Dynamic procurement systems are emerging as another route for bodies that expect their AI needs to change over time. In June 2026, Istekki Oy opened an AI and Automation Solutions dynamic procurement system focused on a wide range of AI and automation solutions across healthcare and other sectors. That same month, CONSORCI LOCALRET established a dynamic procurement system for AI Solutions for Public Contracting, aimed at artificial intelligence solutions that support public contracting.
Energy and utilities are also investing in AI capabilities. In March 2026, N-ERGIE Aktiengesellschaft sought framework agreements for Data Platforms and AI Development, covering software development services to enhance data platforms and provide AI and machine-learning support, from design and implementation to integration and quality assurance.
DFØ’s competition sits at the intersection of these trends. It seeks a concrete generative AI system, but also expects suppliers to handle infrastructure, secure data usage and staff training. Any winning bid will have to combine technical capability with the capacity to support long‑term change inside a central administration.
From the information released so far, DFØ is clearly aiming for a production‑ready generative AI service rather than an isolated experiment. For suppliers, the inclusion of implementation, training and secure data usage in a single contract will demand credible plans for both technology and adoption.
For other public bodies, the outcome will be worth tracking as a practical example of how a central directorate introduces generative AI into everyday work. Together with developments in Helsinki, Brno, justice ministries and sectoral bodies across Europe, DFØ’s procurement will help define what “normal” AI use looks like in government over the coming years.
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