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.

303
Deployments
234 organizations in 39 countries
28%
Face the customer
The AI works with customers directly; 31% across the library
46%
Agentic
The AI completes work itself; 63% across the library
36%
Disclose an outcome
A measurable result is public; 61% across the library

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.

Public deployments by who uses the AI
  • Employee facing
    157
  • Customer facing
    85
  • Back office
    65

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.

Public deployments by autonomy level
  • Copilot
    151
  • Supervised agent
    89
  • Assist
    70
  • Autonomous
    4

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.

Public deployments by region
  • North America
    146
  • Europe
    89
  • Middle East
    28
  • Asia Pacific
    17
  • Latin America
    14
  • Africa
    6
  • Global
    3

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.

Who made the claim (reported metrics)
  • Organization
    105
  • Vendor
    23
  • Regulator or auditor
    1
  • Independent
    3

The most documented use cases in government and public sector

Ranked by the number of government and public sector organizations with a public deployment.

The benchmarks with the most evidence

KPIs with at least three pooled public values from government and public sector organizations.

Benchmarks in government and public sector
KPIMedianReported rangeData pointsClaimed by
Accuracy86%
76% to 98%
119 organization, 2 vendor
Customer satisfaction65%
44% to 80%
43 organization, 1 vendor
Productivity gain46%
44% to 80%
Not pooled: up to 16%
3plus 1 up to3 organization
Contact deflection73%
20% to 80%
31 organization, 2 vendor
Cycle time reduction95%
50% to 97%
32 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.