City authority launches tender for multi-agent AI platform
New tender seeks scalable AI agents and chatbots to support internal workflows and digital services, marking another step in platform-based administration.
New tender seeks scalable AI agents and chatbots to support internal workflows and digital services, marking another step in platform-based administration.
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Statutární město Brno has launched a tender for an AI Platform for Brno, a multi‑agent system designed to support both citizen‑facing chatbots and internal AI agents. The city wants a scalable platform with high service availability, backed by comprehensive support and training for staff. The move points to a shift away from isolated pilots towards embedding artificial intelligence into the core of municipal services and internal workflows.
In May 2026, Brno’s procurement sits within a broader turn towards shared AI platforms in government. In April 2026, the Sächsisches Staatsministerium für Umwelt und Landwirtschaft published a contract notice for an AI Platform as SaaS Provision, seeking a multi‑tenant service that offers text‑based AI functionalities and lets eligible employees create and manage AI assistants and workflows. In February 2026, Folkhälsomyndigheten went to market for a Hosted LLM Service, combining an end‑user assistant and agent platform with customisation, support and maintenance.
Rather than treating chatbots or assistants as one‑off tools, these projects frame artificial intelligence as digital infrastructure. Shared services are intended to be reused across departments, with governance, security and compliance handled once. Brno’s multi‑agent brief points in the same direction: instead of specifying a single, narrow use case, the city is asking for a platform that can host several AI agents and support wide use, provided it remains scalable and highly available.
The contract notice specifies that the supplier will design and implement a multi‑agent AI platform for the city administration. At its core are two types of functionality: intelligent chatbots that can interact with external users, and internal AI agents to support staff in their daily work. The platform must be built for scale and resilience, with high service availability, so that AI‑driven services can be relied on as part of routine operations rather than treated as experimental add‑ons.
Although the notice is high level, several priorities are clear:
The emphasis on a multi‑agent architecture suggests an environment where different AI agents can handle different types of interactions, from external queries to internal processes. This is in line with the Saxon and Swedish tenders, which both envisage environments where AI assistants and workflows can be created and adapted over time, rather than a single chatbot fixed to one website or process.
Crucially, the city is not only buying technology. Comprehensive support and training are core parts of the scope. That echoes a run of other AI procurements where capacity‑building is as important as the platform itself. In November 2025, Poland’s financial supervision authority set out a similar mix in its AI Platform Expansion tender, which combines technical design, delivery and installation of equipment with documentation, assistance during testing and training, and workshops on model implementation. In January 2026, Serviciul de Telecomunicatii Speciale framed training and integration services as key elements of its AI and ML Software Development Services contract for optimising operational processes and supporting emergency management activities.
Brno’s requirement for training signals an expectation that officials across the administration will engage directly with AI tools, whether through internal agents or by configuring workflows. In March 2026, Państwowa Akademia Nauk Stosowanych im. Ignacego Mościckiego w Ciechanowie launched an AI Micro‑Learning Platform Services tender that couples an AI‑supported learning platform with analytical and technical support. And in December 2025, the Land Saarland, vertreten durch das Ministerium für Bildung und Kultur, sought an AI Tool for Education for its Online School Saarland, explicitly including training programmes so teachers and students can use the web application effectively. Across sectors, buyers are writing support, analytical assistance and user education into their specifications.
The Brno platform also sits alongside a series of national‑level investments in artificial intelligence infrastructure. In January 2026, Národní agentura pro komunikační a informační technologie, s. p., published a prior information notice for AI Platform Delivery and Integration, covering a hardware solution with the computing power, data storage and network infrastructure needed to operate and manage AI systems, including integration capabilities for both cloud and on‑premise environments. In February 2026, Ministerstvo vnitra launched its AI Assistant for Administration procurement, seeking a web cloud application to aid public officials in administrative proceedings, alongside its ongoing operation and development.
Taken together with Brno’s city‑level plans, these contracts indicate that the Czech public sector is beginning to build both shared infrastructure and concrete applications for AI. While Národní agentura pro komunikační a informační technologie focuses on the hardware and integration layer, and Ministerstvo vnitra on a cloud‑based assistant for officials, Statutární město Brno is asking for a multi‑agent platform that bridges external chatbots and internal agents. How these streams interact in practice – and whether local platforms eventually plug into national ones – will be an important question for suppliers and policymakers.
Brno is far from alone among regional and municipal authorities exploring AI platforms. In November 2025, the Staatskanzlei published a tender for an AI Platform for Municipalities to serve Zurich municipalities, aiming to enhance administrative efficiency, support workflows and facilitate access to AI technology for smaller municipalities, while centralising legal and IT security clarifications. In January 2026, Digital Burgenland GmbH went to market for an AI Platform for Burgenland to provide a secure and compliant AI platform for the regional administration and its companies. These projects show clear demand for shared platforms that smaller bodies can consume without building everything themselves.
Other buyers are tackling more specific pieces of the puzzle. In February 2026, Germany’s Bundesanstalt für Wasserbau issued its AI‑based Chatbot Development contract notice, focused on developing and implementing an AI‑based chatbot using open‑source models for on‑premise deployment, structured across several work packages. In April 2026, Lithuania’s Nacionalinė švietimo agentūra sought AI Learning Platform Services through the acquisition and implementation of an AI technology‑based learning platform tailored for specific needs. Each of these tenders, like Brno’s, treats AI as a structured programme of work – with defined platforms, workflows and services – rather than a one‑off gadget.
For Brno, attention will now turn to how the multi‑agent platform is architected and governed. The contract notice sets clear goals around scalability, availability and training, but does not specify whether the solution should be cloud‑based, on‑premise or hybrid. Other buyers are experimenting across that spectrum, from the cloud‑agnostic, multi‑cloud PaaS sought in the BMDS‑AI Platform framework in November 2025, to on‑premise deployments such as Bundesanstalt für Wasserbau’s chatbot project. How Statutární město Brno balances flexibility, data protection and operational control will shape which suppliers can credibly respond – and how far AI agents can be woven into the city’s everyday administration.
For the wider market, the tender is another signal that buyers are no longer asking whether to use AI, but how to embed it at scale and with appropriate safeguards. As multi‑agent platforms, assistants and chatbots move from pilots into procurement pipelines, questions around interoperability, reuse and skills will become more prominent. Brno’s procurement will be one to watch as a test of how a large city can turn high‑level ambitions into a concrete, operational service.
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