Norway's Digdir agency and the NORA.ai network launched a public catalogue of public-sector AI projects in March 2023, reaching 150+ entries so agencies can spot duplication — though voluntary reporting leaves coverage incomplete.
150 initiatives (over)
AI initiatives catalogued (within months of March 2023 launch)
digital government, AI governance, cross-agency coordination
Context
Digdir, Norway's national digitalisation agency, partnered with the NORA.ai research network to publish a cross-sector overview of artificial intelligence projects across the Norwegian public sector, launched on 9 March 2023 and hosted on the open-data platform data.norge.no.
Objectives
The catalogue lets public bodies see what peers are already building, reducing duplicated effort, and gives national policymakers a working picture of AI adoption as they design digitalisation strategy; Digdir positions it as a trust-building measure.
Activities
Within months of launch the overview held more than 150 AI initiatives spanning sectors from health to transport, submitted by agencies via a standing intake channel at [email protected].
Results
The catalogue's central limitation is honestly disclosed by its own maintainers: participation is voluntary and built on outreach rather than a legal reporting duty, so Digdir explicitly describes it as 'not a perfect picture' of Norwegian public-sector AI activity, only a useful and continuously updated approximation.
Implementation
Indicative cost
Low (< €50k) — No specific budget disclosed; built as an open-data catalogue hosted on the existing data.norge.no platform — conservative low estimate.
Time to results
Medium (1–3 years) — Launched March 2023, continuously updated since; a multi-year, still-developing programme rather than decade-scale infrastructure.
Staffing & skills
Norwegian Digitalisation Agency (Digdir), NORA.ai research network, Contributing public agencies (voluntary submissions)
Conditions for success
Standing intake channel for agencies to submit AI projects
Cross-sector agency participation to reduce duplicated effort
Continuous updates to keep the catalogue current
Common failure modes
Participation is voluntary, not a legal reporting duty, so coverage is incomplete
Digdir itself describes the overview as 'not a perfect picture' of public-sector AI activity
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.