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City of Copenhagen
Government · Denmark
8,500 hours freed per year
Copenhagen automates 75 municipal processes and frees capacity across seven departments
Rather than running isolated pilots, Copenhagen built RPA as a scalable programme with a Center of Excellence, coding guidelines, governance, and structured collaboration across all seven city commissions.
Friction
Copenhagen served a growing population within tight budget constraints. More workload, higher service expectations, and no proportional increase in staffing. Manual processing of citizen information requests alone could take up to 10 hours per case.
Breakthrough
A hybrid model combining unattended robots for large repetitive tasks with attended robots and digital assistants supporting employees in individual process steps. A centralised Center of Excellence handles large automations while smaller ones are developed closer to the departments.
Impact
75 processes automated across 7 commissions. Digital workforce of 6 unattended and 50 attended robots. One automation for citizen information requests halved processing time from up to 10 hours to approximately 5 hours, freeing nearly 8,500 hours per year in a single commission. Average time from identification to production: 6 to 8 weeks; simple processes within one week.
Unlock the full analysis with breakthrough, impact, what made it smart and its technical approach below!
Problem
Danish municipalities face a structural tension: growing demand with flat or shrinking budgets. Individual departments struggled to identify automation opportunities on their own, and ad-hoc pilots did not scale.
What made it smart
The Center of Excellence model was the real innovation, not the robots themselves. By centralising governance and coding standards while keeping discovery close to the departments, Copenhagen could automate at scale without losing local context.
Technical approach
RPA applied to rule-based administrative processes where employees gather information from multiple systems, consolidate, verify, and respond. Attended robots and digital assistants support employees in hybrid workflows. Error handling and exception management built into every automation via feedback loops between robot and employee.
Strategic lesson
Automation scales when it has a platform: a centre of excellence, governance model, and shared standards. Individual pilots do not compound; a programme does.
Reflection question
Which repetitive, rules-based processes in your organisation are currently handled manually, not because they are complex, but because no one has built the infrastructure to automate them?