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SICTIAM is establishing a dynamic acquisition system to buy artificial intelligence tools and services across nine areas of local government, with the aim of improving public services and internal performance for its members and other beneficiaries of its purchasing centre. The breadth of scope and the promise of quicker, better-matched procurements make this an important route to market for AI in local administration.

What SICTIAM is buying

Published in February 2025, SICTIAM’s AI Solutions for Public Services sets up a Dynamic Acquisition System (DAS) to select a pool of providers able to deliver off‑the‑shelf products and custom developments. The system is designed to respond quickly to changing needs across a wide range of municipal functions.

The scope spans nine lots:

• Administrative performance: AI for document production and analysis, process modernisation, access to information, and data‑driven management for support services such as HR, legal, and finance.
• Waste management: Digital tools to optimise routes, monitor sorting quality, and analyse flows, improving environmental and economic outcomes.
• Urban planning: Sensors and services to improve public space management, safety, mobility, green areas, and traffic flow, supporting energy efficiency and quality of life.
• Environmental and technological risks: Solutions to anticipate, monitor, and mitigate natural and industrial risks, from floods and fires to toxic leaks, in support of public safety.
• Social action and disability: Tools to strengthen social and medico‑social policies, supporting autonomy, inclusion, targeted action, and better management of social resources.
• Intelligent health and care pathways: AI to support diagnosis and decisions, optimise patient pathways and administration, and improve safety and quality of care. The system is expected to be interoperable, secure, scalable, and compliant with current regulatory standards.
• Safety of goods and people: Technologies for prevention, detection, and faster intervention, including intelligent video protection and automated alerts, within a framework that respects public freedoms.
• Enhancement of the territory: Digital tools and platforms to boost attractiveness and economic activity, highlight cultural and natural assets, and improve the territory’s image.
• Territorial decision support: Visualisation, simulation, predictive analysis, and data‑crossing tools for risk mapping, financial forecasting, and management control.

The DAS will serve SICTIAM, its current and future members, and other users of its purchasing centre. The ambition is to build an ecosystem of companies able to address real‑world use cases across local services.

Why a dynamic system—and why now

SICTIAM’s approach reflects two practical needs set out in the notice. First, local authorities want faster, more suitable procurements as technology evolves. The DAS is intended to “allow a quick and appropriate response to the evolving needs of the community.” Second, the buyer wants breadth. By pre‑selecting providers across nine categories and allowing both ready‑made solutions and bespoke builds, the system aims to match diverse service needs from back‑office administration to frontline safety and care.

The health lot is explicit about technical expectations: interoperability, security, scalability, and compliance with current regulations. While those requirements are stated for health, they signal the governance, assurance, and integration hurdles that will matter across the programme—particularly for data‑rich functions such as decision support, risk management, and video protection.

Several policy drivers emerge from the lot structure:

• Efficiency and quality: Modernising internal processes and document handling, and bringing data into everyday operations.
• Environmental performance: Optimising waste and mobility, and managing natural risks.
• Public safety and resilience: Preventing and responding to incidents while protecting freedoms.
• Inclusion and care: Strengthening social action and clinical pathways for vulnerable groups.
• Economic vitality: Using digital tools to enhance attractiveness, tourism, and local commerce.

Part of a wider European shift

SICTIAM’s plan sits within a broader move to use dynamic systems for AI and data services across the public sector.

In January 2021, HealthTrust Europe signalled healthcare demand with a prior notice for a dynamic purchasing system covering diagnostic and operational AI across NHS facilities (link). That move was formalised in August 2023 with a contract notice to establish the system and support development and deployment of AI tools (link).

Elsewhere in the public sector, a social insurance IT body set up a dynamic procurement system for AI projects in December 2023 (link). In May 2024, the French central purchasing body Resah opened a consultation for AI software solutions for health, available as SaaS or on‑premise (link).

Recent notices suggest both consolidation and specialisation. In January 2025, Finnish provider 2M‑IT created a dynamic system for data‑driven management and AI services for social and healthcare organisations (link). In February 2025, Greece’s state digital entity outlined analysis, design, and implementation of AI applications to enhance public‑sector functions (link).

Beyond core administration and health, other public bodies are structuring AI demand in specific domains. In September 2024, Madrid’s IT body sought support and maintenance for its AI software platform (link). In October 2024, Portugal’s Ministry of Economy moved to acquire an AI‑based threat‑detection security solution (link). And in May 2025, the Consorci d’Aigües de Tarragona sought a new GIS platform with AI applications to improve asset management and decision‑making (link).

Use cases that resonate with SICTIAM’s lots

The administrative performance focus in SICTIAM’s lot structure aligns with moves to automate document handling. In August 2024, the Principality of Asturias launched a project to design and implement an AI‑enabled system for digitising physical documents, extracting information, and validating records across the administration (link). Earlier, in August 2023, ASST Melegnano Martesana explored AI for automating the classification and routing of emails within its document protocol, including data extraction to reduce manual entry (link).

SICTIAM’s waste, urban planning, and risk management lots echo the growing place of AI in operational infrastructure. The Tarragona water authority’s May 2025 programme to pair a GIS upgrade with AI for asset management is one example of how data platforms and analytics can inform field operations and planning (link).

On citizen‑facing services, SICTIAM’s enhancement of the territory lot overlaps with information provision and tourism. In May 2025, a regional digital body scoped an AI‑powered virtual assistant to deliver information to citizens and visitors across dozens of municipalities via tablet interfaces (link).

Meanwhile, the safety of goods and people lot aligns with security initiatives that use AI for detection and response. Portugal’s October 2024 notice for an AI‑based threat detection solution illustrates the kind of capabilities public bodies are exploring (link).

An ecosystem approach—seen elsewhere too

SICTIAM wants to “create an ecosystem of companies” that can deliver across use cases. Other buyers are moving in the same direction. In June 2025, ARTE set out a dynamic purchasing system to pre‑qualify partners for data and AI services, highlighting the need to adapt to fast‑moving technology (link). In May 2025, France Télévisions established a system spanning data analysis, governance, and AI technical expertise (link).

The operational implications are clear: some authorities are now buying not just solutions but the capability to evolve them. Madrid’s September 2024 plan to maintain and expand its AI platform suggests life‑cycle management is becoming a normal part of public‑sector AI (link).

Outlook

Key details such as budgets and timelines are not stated in the notice. What stands out is the breadth of demand and the emphasis on speed and suitability. Watch for how SICTIAM shapes competition within each lot, how it balances off‑the‑shelf tools with bespoke builds, and how members use the DAS to prioritise use cases—from document handling and decision support to risk management and citizen services.

If the system attracts a diverse supplier ecosystem and maintains the interoperability and security signalled in the health lot, it could become a central route for local authorities to adopt AI at pace, with clearer pathways from pilot to service.

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