City authority launches tender for multi-agent AI platform
City authority seeks a scalable AI platform with chatbots, internal agents and automated workflows, signalling growing demand for AI-ready administration.
City authority seeks a scalable AI platform with chatbots, internal agents and automated workflows, signalling growing demand for AI-ready administration.
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Statutární město Brno has launched a tender for a universal multi-agent AI platform to support both citizen services and internal administration. Published on 2nd June 2026, the contract covers chatbots, internal AI agents, automated workflows, hardware delivery, staff training and high service availability, signalling a move to embed AI across the city’s day-to-day operations.
The notice describes the project as the design and implementation of a universal multi-agent AI platform for the city. Rather than procuring a single tool for a narrow task, Statutární město Brno wants a shared environment in which different AI agents can be created, managed and deployed.
According to the description, the platform must include three main components:
Bringing these under one platform suggests a focus on consistent AI capability across departments. Chatbots can support interactions through natural language. Internal AI agents can help staff with recurring tasks and information access. Automated workflows can streamline the handling of routine tasks and data flows.
The word “universal” is significant. It points to an ambition for reusability, where new agents or workflows can be configured on the same foundation instead of buying separate systems each time a new use case appears. That kind of approach is already visible in other public procurements for AI, which increasingly ask suppliers for flexible platforms rather than one-off applications.
The Brno contract notice goes beyond software functionality. It makes scalability, hardware delivery and high service availability explicit requirements. The selected supplier will have to provide the computing infrastructure, ensure that the platform can grow with demand, and keep services reliably online.
This makes the contract a combined software-and-infrastructure purchase, not just a licence for a hosted product. Similar patterns appear in a growing number of technology procurements. In June 2026, HRVATSKA AKADEMSKA I ISTRAŽIVAČKA MREŽA CARNet issued an AI infrastructure procurement to establish a local high-performance computing platform for compute-intensive operations. In April 2026, the Krajowy Ośrodek Wsparcia Rolnictwa went to market for an AI model training server, while in January 2026 the Instytut Chemii Bioorganicznej announced a contract for infrastructure to support material simulations using machine learning.
Alongside these hardware-focused projects, some public buyers are seeking integrated platforms that straddle on-premise and cloud environments. In January 2026, the Národní agentura pro komunikační a informační technologie published a prior information notice for the delivery and integration of a complex AI platform that would provide computing power, storage and network infrastructure for operating and managing AI systems, with integration to both cloud and on-premise solutions.
Statutární město Brno’s procurement also emphasises people. Staff training is built into the scope, recognising that AI tools only deliver value if officials can use and govern them effectively. This mirrors other recent contracts. In December 2025, the Urząd Komisji Nadzoru Finansowego launched an expansion of its AI platform that includes equipment, licences, security integration, documentation, testing, training and workshops for model building. Regional hospitals, such as the Regionalny Szpital Specjalistyczny im. dr Władysława Biegańskiego in a May 2026 tender for AI solutions to support medical and managerial processes, also specify user training and technical support as part of their AI programmes.
By combining platform build-out, hardware delivery and capacity-building for staff, the Brno contract positions AI not as a peripheral experiment but as part of the city’s core administrative infrastructure.
The Brno tender sits within a broader shift in how public bodies procure AI. Instead of isolated pilots, many administrations are now buying general-purpose platforms that can host multiple assistants, chatbots and workflows.
In April 2026, the Sächsisches Staatsministerium für Umwelt und Landwirtschaft published a contract notice for an AI platform as Software-as-a-Service, a multi-tenant environment offering text-based AI functions and supporting the creation and management of AI assistants and workflows for hundreds of employees. In February 2026, Ministerstvo vnitra went to market for an AI assistant for administrative proceedings, a web cloud application designed to help officials handle cases, with ongoing operation and development built into the specification.
Health and regulatory bodies are also turning to platform-style solutions. In February 2026, Folkhälsomyndigheten launched a procurement for a hosted LLM service that combines an end-user assistant and agent platform with customisation, support and maintenance, while ensuring scalability, security and compliance with legislation. In December 2025, the Oesterreichische Nationalbank sought services for a legal AI tool providing cloud-based support for legal research and complex questions on national and EU law.
Other contracts focus on specific interfaces but still adopt a platform mindset. The Bundesanstalt für Wasserbau has, since February 2026, been procuring an AI-based chatbot built on open-source models for on-premise deployment, structured in modular work packages. In January 2026, Serviciul de Telecomunicatii Speciale launched a contract for AI and machine learning software development services to create a platform optimising operational processes in an emergency management context, again including training and integration work.
Taken together, these projects show a clear direction of travel. Public bodies in different sectors are converging on a similar set of requirements: shared AI platforms, support for multiple agents and workflows, integration with existing systems, reliable infrastructure and structured training for staff. Statutární město Brno’s tender follows this pattern while emphasising local infrastructure and around-the-clock availability for municipal services.
The Brno contract notice is concise, and some important details are not yet visible. The description does not specify which city departments will be first to use the platform, how the chatbots and internal agents will be prioritised, or how the city plans to govern AI use across its administration. It also does not spell out how the new platform will connect to existing municipal IT systems.
What is clear is the breadth of the ambition: a universal platform, spanning citizen-facing chatbots, internal AI agents and automated workflows, underpinned by scalable hardware and a commitment to training. That combination suggests the city wants to move beyond experimental pilots and use AI to support productivity across routine public administration.
As more details emerge through the procurement process, points to watch will include the chosen balance between on-premise infrastructure and any cloud services, the approach to model management, and how the city structures its training and change management. Experience from other recent contracts — from multi-tenant SaaS platforms for civil servants to high-performance computing clusters for AI research — indicates that technology, infrastructure and skills now tend to be procured together.
For suppliers, the tender underlines growing demand from municipal buyers for AI capabilities that can be reused across many services rather than built in isolation. For other cities and public bodies, the project will offer a reference point for how to structure a comprehensive AI platform contract that spans software, hardware and people.
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