Data report
State of AI in government and public sector
What 303 documented AI deployments by 234 organizations in government and public sector say about who uses the AI, how far it acts on its own and how often the result is proven, set against the whole library.
Computed live from the library on 12 November 2026. By Len Debets.
Who works with the AI
28% of public deployments in government and public sector put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
- Employee facing157
- Customer facing85
- Back office65
How far the AI acts on its own
46% of public deployments in government and public sector belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
- Copilot151
- Supervised agent89
- Assist70
- Autonomous4
Where the deployments come from
48% of the public deployments in government and public sector are by organizations in North America. 57% date from 2025 or 2026, against 57% across the library.
- North America146
- Europe89
- Middle East28
- Asia Pacific17
- Latin America14
- Africa6
- Global3
How often the result is proven
36% of public deployments in government and public sector disclose a measurable outcome, against 61% across the library. Of the 132 reported metrics, 23 came from a vendor rather than from the organization itself.
- Organization105
- Vendor23
- Regulator or auditor1
- Independent3
The most documented use cases in government and public sector
Ranked by the number of government and public sector organizations with a public deployment.
- AI assistant for citizen information and government services35 organizations
- AI translation and interpretation for multilingual public services12 organizations
- AI drafting copilot for civil servants for correspondence, briefings and ministerial replies11 organizations
- AI for court and case file summarization10 organizations
- AI for permit and license application processing10 organizations
- AI for risk based inspection prioritization in food safety, workplace and environmental regulation10 organizations
- AI assistant for tax questions and filing support8 organizations
- AI for public consultation response analysis8 organizations
- AI assistant for procurement and supplier contract review7 organizations
- AI for freedom of information request processing7 organizations
The benchmarks with the most evidence
KPIs with at least three pooled public values from government and public sector organizations.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Accuracy | 86% | 76% to 98% | 11 | 9 organization, 2 vendor |
| Customer satisfaction | 65% | 44% to 80% | 4 | 3 organization, 1 vendor |
| Productivity gain | 46% | 44% to 80% Not pooled: up to 16% | 3plus 1 up to | 3 organization |
| Contact deflection | 73% | 20% to 80% | 3 | 1 organization, 2 vendor |
| Cycle time reduction | 95% | 50% to 97% | 3 | 2 organization, 1 vendor |
Frequently asked questions
- How is AI used in government and public sector?
- The most documented AI use cases in government and public sector are AI assistant for citizen information and government services, AI translation and interpretation for multilingual public services and AI drafting copilot for civil servants for correspondence, briefings and ministerial replies, across 303 public deployments by 234 organizations in the Blits.ai AI Use Case Library. 28% of public deployments in government and public sector put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
- How many AI deployments in government and public sector use AI agents?
- 46% of public deployments in government and public sector belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
- How often do government and public sector organizations prove the results of AI?
- 36% of public deployments in government and public sector disclose a measurable outcome, against 61% across the library. Of the 132 reported metrics, 23 came from a vendor rather than from the organization itself.
About this report
This report counts every public deployment by an organization in government and public sector, whatever the use case, and sets it against all 1921 public deployments in the library. The industry hub counts only the use cases tagged with this industry, so its totals can be lower. Every figure is computed with the rules on the methodology page, from the open data (CC BY 4.0). The sample reflects what organizations choose to publish, which skews toward large organizations and successful projects.
See also all AI use cases in government and public sector, the EU AI Act in government and public sector and the State of AI Use Cases across every industry.