Europe – October 20, 2026 -- Capgemini and Microsoft are offering cities an as-a-service, AI-native City Support Center that merges multi-agency data into one operating picture for floods and urban heat events, aiming to avoid the cost of bespoke platform builds.
Siloed agencies drive delays, duplication and rising maintenance costs
In flood and heat island scenarios, water authorities, transport departments, health bodies and first responders typically each focus on their own responsibilities, with little data transparency between them. The result is delayed interventions, inefficient resource deployment, duplicated effort and counterproductive actions. Maintenance spending also rises because of potentially preventable damage, adding pressure on already stretched local government budgets.
Cost of custom-built platforms blocks adoption, especially in Europe
Many available solutions are custom-built for individual cities, requiring budgets that most cities, particularly in Europe, do not readily have. The cost is less prohibitive for cities that already run data platforms. Some cities are also still developing policies on data, big data and AI, along with the ethical questions involved, which has held back rollouts. Others worry about how long it would take to build a platform that makes interoperable data real.
Agentic AI and digital twins target predictive response
Capgemini built the accelerator with Microsoft, using agentic AI to connect and interpret disparate data sources continuously. AI agents correlate fragmented observations into a single incident view, recommend operating procedures and generate cross-agency workflows across public safety, transport, utilities, health, municipal operations and community services.
Combined with city digital twins, the agents let operators anticipate how an event may evolve, identify immediate impact areas, assess risks to vulnerable populations and critical infrastructure, and compare response strategies. If a weather report points to a significant storm, preparations can begin before it hits.
As-a-service model aims to cut build time and upfront investment
The companies deliver the platform as a service rather than a pure technology product. Capgemini builds and tailors the platform, installs it in the city's operational context, helps establish the AI-native operating model and governance, and runs it. The approach uses standards-based accelerators with Microsoft's AI, data and cloud technologies and can integrate with existing open, city or urban data platforms and operational systems.
Capgemini says this reduces build time, operating cost and upfront investment, while cities retain digital sovereignty and regulatory compliance.