Madrid to Introduce AI-Driven System to Optimise Park Maintenance, Inspections and Environmental Monitoring

Madrid plans to launch a three-year programme in February 2026 to modernize how the city manages inspections, maintenance tasks and environmental monitoring across its parks, gardens and municipal nurseries. The initiative is backed by a €2.9 million municipal contract and aims to move the city toward a predictive, AI-supported green-infrastructure management model.

AI Tools to Enhance Inspection Planning and Daily Operations

According to the Ayuntamiento de Madrid, the planned system will introduce AI capabilities to improve how inspection routes are scheduled, enabling staff to prioritise areas based on need, historical conditions and spatial distribution. The system will also digitize reporting processes and integrate new data into the city’s MINT urban-services platform.

The programme includes the adoption of technologies such as mobile and drone-based mapping, fixed cameras and automated image analysis. These tools are expected to support early detection of landscape degradation, tree-health issues and inefficiencies in maintenance workflows.

Quality-Control Overhaul for Service Contracts

A new framework for monitoring municipal service contracts—covering cleaning, maintenance, plant health assessments and nursery operations—will also be implemented as part of the initiative. The goal is to standardise how performance is measured and streamline oversight across Madrid’s urban-green-services portfolio.

Strategic Context: Improving Resilience and Resource Efficiency

The city’s investment aligns with broader policy goals to strengthen sustainability, improve biodiversity resilience and optimise water usage under climate-pressure scenarios. Madrid’s wider digital-transformation agenda positions AI as a core enabler for environmental and operational efficiency.

Early benefits expected include:

• More efficient horticultural and landscaping interventions

• Data-informed irrigation planning

• Reduced manual inspections

• Faster response to tree-health and environmental risks

Outstanding Details

• Madrid has not disclosed the selected vendor or consortium.

• The exact number of hectares, assets or sensors to be included has not been released.

• Clear KPIs for cost savings, water efficiency or maintenance-response times will likely be defined during the first phase of implementation.