City of Helsinki’s Social, Health and Rescue Services Division – AI roadmap

Driving strategic impact in the age of AI – a roadmap, pilot model and shared direction for Helsinki’s Social Services, Health Care and Rescue Services Division.

The work resulted in a practical model and roadmap that strengthen leadership, accelerate piloting and make the value of AI visible across the whole division. 

Strategy consulting

Client: City of Helsinki, Social Services, Health Care and Rescue Services Division

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Executive summary

Miltton facilitated a five-part workshop series and analysis for Helsinki’s Social Services, Health Care and Rescue Services Division to identify the focus areas for AI, outline the required changes and create a concrete roadmap for implementation. The work combined an assessment of AI maturity and the current state, the definition of a shared vision and metrics, and a practical model for piloting. The outcome is a clear steering tool, grounded in the division’s own understanding, for responsible and impactful AI adoption.  

Highlights

  1. A co-created direction

    We co-created a clear direction: we defined AI objectives, metrics and decision-making principles through workshops (themes: leadership, employees, customer experience) and analysis.  

  2. First focus areas defined

    We identified four areas with fast-visible benefits: documentation & reporting, forecasting, resource management, and language & accessibility. Use cases and metrics were described for each area.  

  3. Implementation-ready package

    We built the implementation model: prioritisation of pilot projects, definition of ownership and team roles, standardised checklists, and a timeline framework – with data protection and evaluation embedded.  

With Miltton’s experts, we strengthened our shared understanding and created a roadmap that links our strategic objectives to everyday leadership and concrete action. Our AI adoption now proceeds both effectively and responsibly. 

Juha Jolkkonen

Executive Director, Social, Health and Rescue Services, City of Helsinki

Results

  • AI vision and shared understanding from the perspectives of leadership, everyday work and customer experience.
  • Objectives and metrics to strengthen data-driven management – including societal impact, customer experience, processes and cost effects, employee wellbeing and the progress of adoption.
  • Prioritised focus areas and example use cases for the first-wave pilots.
  • Pilot checklists and responsibility structure (ownership, sponsors, teams) and a phased timeline for implementation, evaluation and scaling.
  • A framework for responsibility and regulation (e.g., data protection and fundamental rights assessments) and principles for communications and stakeholder engagement.  

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