Catalogue: AI in the Public Sector clear
15 practices not yet assessed for evidence strength.
Most practices in: United States of America (75)
NASA's ATD-2 project used ML taxi-time and surface-trajectory prediction to schedule gate pushbacks at Charlotte Douglas Airport, saving 1M+ gallons of jet …
New Jersey built its own secure generative-AI assistant for state workers, now used by 20,000+ of its 70,000 employees for 300,000+ sessions …
A federal fellows pilot found ChatGPT, Gemini and Claude answered USASpending and CDC PLACES questions with near-0% and 2.1% accuracy unaided, jumping …
CARB flew AI-assisted imaging spectrometers over 22,000 sq. miles of California, examining 272,000+ facilities and finding under 0.2% of infrastructure caused 34–46% …
A generative-AI chatbot built by Nava and nonprofit Imagine LA for Los Angeles County benefits caseworkers lifted response accuracy by 40% in …
Chicago's health department built a machine-learning model ranking restaurants by violation risk. An independent pilot evaluation found inspectors using its list caught …
The US State Department's enterprise AI chatbot StateChat grew from 150 testers to 62,000+ users by June 2026; a 2025 survey of …
Covered California deployed Google Public Sector's Document AI with Deloitte to automate income/eligibility verification across 25 document types — cutting confirmation times …
Under OMB Memo M-24-10, US federal agencies (except DOD and intelligence) must inventory their AI use cases yearly and publish them; the …
UC San Diego's ALERTCalifornia network of 1,200+ AI-monitored cameras helped CAL FIRE respond to roughly 3,600 wildfire incidents in 2025; in over …
Since around 2019, NASA's Scientific and Technical Information Program has used a machine-learning model — trained on 3.5 million tagged documents — …
Pennsylvania piloted ChatGPT Enterprise with 175 employees across 14 agencies, who saved an average of 95 minutes daily; the programme scaled to …
The US Treasury's Office of Payment Integrity uses ML to screen federal disbursements. In FY2024, ML-driven processes prevented or recovered $4.059 billion …
Denver's generative-AI 311 chatbot "Sunny" was handling 12% of all citizen-service inquiries by June 2024, two months after launch. Neighbouring Aurora copied …
Since 2021, Los Angeles County's Homelessness Prevention Unit has used a California Policy Lab model built on 580 administrative-data points to rank …
Under OMB Memorandum M-24-10, US federal agencies must publish a machine-readable annual inventory of every AI use case. The 2025 edition logged …
Pittsburgh's Surtrac AI traffic-signal system, built with Carnegie Mellon University, cut travel time 26%, wait times 41% and emissions 21% in its …
San José mounted AI-powered cameras on city vehicles to automatically detect potholes and roadway debris, reporting 97% pothole-detection accuracy and 88% debris-detection …
SSA's AI phone bot now handles a large share of the 5 million monthly calls to its national helpline and cut average …
Facing a mandatory 25-year declassification deadline and a year of manual review per annual cohort, the U.S. State Department trained an ML …
New Jersey's state AI Task Force used the open-source Policy Synth AI-agent system, combining automated research with input from 2,200+ workers and …
California's CDT built Poppy, a vendor-agnostic GenAI platform offering ten models to state staff. After a nine-month pilot with 2,800 employees across …
San José's City Clerk replaced budgeted human interpreters with Wordly AI translation for council meetings, cutting annual costs from $400,000 to $82,000, …
Dallas mounted 100 AI cameras on 50 sanitation trucks under a $2.556 million, three-year contract with City Detect Inc. to scan neighbourhoods …
Open full copilot Grounded in cited practices — always check the sources.
