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Commonwealth of Pennsylvania

Document Processing · IT Operations Automation

Pennsylvania wanted to reduce time spent on drafting, research, summarization, IT support, procurement, contract analysis, and other administrative work across state agencies while keeping human oversight, transparency, and labor protections in place for government use of generative AI.

175 employees from 14 agencies used ChatGPT Enterprise
48 percent had never used ChatGPT before
average time savings of 95 minutes per day
over 85 percent reported a “somewhat positive” or “very positive” experience

Reported impact

Business outcome

The pilot showed strong employee acceptance and measurable productivity gains, with faster drafting, summarization, hiring-related work, procurement, contract review, policy research, and software-upgrade support, while reinforcing that AI should augment rather than replace government workers.

  • Productivity Improvement

Solution

The Commonwealth of Pennsylvania, through the Office of Administration, ran a year-long generative AI pilot that gave 175 employees in 14 agencies access to ChatGPT Enterprise for real government workflows. Staff used the service for writing, research, document summarization, IT support, contract analysis, policy research, stakeholder communications, software-upgrade work, and training-content development. The implementation was governed by Executive Order 2023-19 and oversight bodies created for responsible AI use, while Carnegie Mellon University researchers collaborated on evaluation. Rather than embedding AI into a back-end transaction system, the pilot served as a secure end-user productivity layer: employees brought work materials and prompts into ChatGPT Enterprise, received drafts or summaries back, and then applied human review before use. Adoption was supported with prompt training, biweekly feedback sessions, interviews, and live demonstrations to measure impact and improve rollout.

Data flow

Employees in 14 Pennsylvania agencies entered prompts and work materials such as emails, long documents, contracts, policy questions, and software-support tasks into ChatGPT Enterprise. The system returned drafts, summaries, research assistance, and troubleshooting help to those employees, who reviewed outputs before using them in government workflows. OA then collected biweekly feedback, interviews, and live demonstrations to assess impact and refine adoption.

Solution architecture

1 components · 1 layer
  1. Serving
    • ChatGPT Enterprise Provided the generative AI workspace state employees used for writing, research, summarization, IT support, and other day-to-day productivity tasks during the pilot.

Architecture clues

  • Governance was anchored by Executive Order 2023-19 and a Generative AI Governing Board.
  • Office of Administration collaborated with Carnegie Mellon University Block Center for Technology and Society throughout the pilot.
  • Pilot ran for about one year across 14 state agencies.
  • Results were collected through biweekly feedback sessions, user interviews, and live demonstrations.
  • The Administration also established a Generative AI Labor and Management Collaboration Group for ongoing oversight.

Evidence from the source

"AI-assisted work helped employees improve hiring timelines, streamline procurement, more quickly analyze contracts, and research new policies faster."
"Employees emphasized that AI augments human expertise rather than replacing it, reinforcing the importance of human review and judgment."
"Nearly half of the participants, 48 percent, had never used ChatGPT before, yet over 85 percent reported a 'somewhat positive' or 'very positive' experience"
"Over the course of a year, 175 employees from 14 agencies used ChatGPT Enterprise to test AI’s impact."
"employees had a highly positive experience, reporting an average time savings of 95 minutes per day while using ChatGPT for writing, research, summarization, and IT support."
"the pilot program provided state employees with access to ChatGPT Enterprise to enhance efficiency, streamline workflows, and improve the delivery of services for Pennsylvanians."
Transparency Evidence & methodology 80/100 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 value80/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    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
    6 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. Commonwealth of Pennsylvania

    Commonwealth of Pennsylvania customer story

    First-party
    https://www.pa.gov/governor/newsroom/2025-press-releases/-shapiro-administration-leads-the-way-in-ethical-use-of-ai
    Source type
    Customer-published story
    Published
    Mar 21, 2025
    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 Mar 21, 2025 · Commonwealth of Pennsylvania · 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.