Thinking in government workflows to make agentic AI work
Once a year at the Global Government Technology Centre, we published the Global State of GovTech report. I led this project on the GGTC side, alongside teams from the World Economic Forum and Capgemini.
While the 2025 edition examined the global public impact of GovTech, the 2026 edition (with an interactive version) started with one question: how should governments understand the way they operate if agentic AI is to move beyond pilots?
The answer comes down to workflows. The workflow is the unit of action for agentic AI, yet governments rarely view themselves this way, defaulting instead to org charts, ministry boundaries and political responsibilities.
To address that, we mapped the entire public sector into 70 central workflows — so-called government functions. It sounds simple, but it had not been done before, and building that taxonomy was a year-long effort.
That taxonomy became the foundation for our entire analysis: systematically assessing where agentic AI offers the highest impact and building a clear map of opportunity.