Google Cloud Public Sector New York, United States Company newsroom

New York State

Document Processing

New York State needed a secure and responsible way to train and equip a very large public-sector workforce to use generative AI in daily work while maintaining human oversight, quality controls, and statewide policy guardrails.

1,200-person pilot across eight state agencies
41 percent of pilot users entered the pilot program with no prior experience using generative AI tools
75 percent of pilot participants saved time using AI Pro
86 percent of users want to continue using AI Pro after the pilot

Reported impact

Business outcome

The state scaled a secure generative AI training and assistant program from a multi-agency pilot to the largest statewide public-sector rollout in the U.S., improving employee AI literacy, saving time, and supporting better service delivery to residents.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

New York State, through the Office of Information Technology Services (ITS), expanded a generative AI enablement program from a 1,200-person pilot across eight agencies to statewide availability for more than 100,000 employees. The implementation combines InnovateUS for formal responsible-AI instruction with AI Pro, a secure generative AI assistant developed by ITS and powered by Google Gemini. In practice, state employees first receive structured training on appropriate public-sector AI use, then use AI Pro as the controlled interface for prompt submission and response generation. Gemini provides the underlying LLM capabilities for drafting, summarization, simplification, and dashboard-related assistance, while ITS governs access and rollout across 50+ supported agencies. The source describes prompt ingestion, model-powered processing, and delivery of outputs back to employees, but does not disclose storage architecture or back-end data persistence details. Human oversight and a statewide acceptable-use policy are core operational controls.

Data flow

State employees complete responsible-AI training through InnovateUS, then submit prompts through AI Pro. AI Pro provides the secure user environment and sends requests to Google Gemini for generation. Responses are returned to employees for tasks such as executive summaries, policy briefs, report summarization, document consolidation, and dashboard creation, with human oversight emphasized throughout.

Solution architecture

3 components · 3 layers
  1. Compute
    • Google Gemini Underlying generative AI model that powers AI Pro's drafting, summarization, and language-generation capabilities.
  2. Serving
    • AI Pro Secure generative AI assistant used by New York State employees to practice and apply AI in day-to-day government work.
  3. Uncategorized
    • InnovateUS Online training platform used to deliver responsible AI education to the New York State workforce.

Architecture clues

  • AI Pro is described as a secure environment for state employees.
  • AI Pro was developed by the Office of Information Technology Services (ITS).
  • Human oversight was emphasized throughout the pilot and all uses of AI Pro.
  • Responsible AI training is required for agencies that elect to use AI Pro.
  • The program operates under New York State's Acceptable Use of AI Technologies policy.
  • The rollout covers 50+ state agencies and entities ITS supports.

Evidence from the source

"75 percent of pilot participants saved time using AI Pro"
"AI Pro generative AI assistant, developed by ITS and powered by Google Gemini, which will provide State employees with a secure environment to hone their AI skills"
"AI training and AI Pro, a secure generative AI assistant tool, to more than 1,200 users across eight state agencies."
"AI training is offered to state employees in partnership with InnovateUS, an online platform"
"Participants generated over 170,000 prompts during the pilot period"
"Pilot participants outlined numerous cases where AI Pro streamlined their work and facilitated decision-making, including crafting executive summaries and policy briefs, translating complex topics into easily digestible language, summarizing large reports and consolidating duplicative documents, and facilitating the creation of data dashboards"
"Throughout the pilot and with all uses of AI Pro, careful human oversight was emphasized."
Transparency Evidence & methodology 100/100 reference value · 94% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence94%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    7 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. New York State

    New York State customer story

    First-party
    https://www.governor.ny.gov/news/governor-hochul-delivers-artificial-intelligence-training-tool-new-york-state-workforce
    Source type
    Customer-published story
    Published
    Apr 6, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Apr 6, 2026 · Governor Kathy Hochul | New York State · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.