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Pennsylvania's ChatGPT Enterprise Pilot — Generative AI for State Government Productivity

United States of America · Harrisburg · See the United States of America profile

Pennsylvania piloted ChatGPT Enterprise with 175 employees across 14 agencies, who saved an average of 95 minutes daily; the programme scaled to 3,000+ employees across 35 agencies by 2026, shaped by a union-inclusive Labor-Management Collaboration Group.

95 minutes
Average time saved per employee per day
85 %
Participants reporting positive experience
48 %
Participants who had never used ChatGPT before
90 to 60 days
Job description/onboarding cycle time
93 to 34
IT policies consolidated
175 to 3,000+
Employees with generative AI access (2024-2026)
14 to 35
Agencies participating (2024-2026)
6,500
Additional staff enrolled in training
400,000
Documents AI-scanned (DHS)
30 %
Documents flagged for quality review
Pennsylvania's ChatGPT Enterprise Pilot — Generative AI for State Government Productivity

Details

Maturity
Scaling
Promoter
Commonwealth of Pennsylvania, Office of Administration
Period
January 2024–ongoing (pilot phase concluded May 2025, expanded thereafter)
Keywords
generative AI, digital government, civil service productivity, IT modernization, labor-management collaboration

Context

In January 2024, Pennsylvania's Office of Administration launched a year-long pilot giving 175 employees across 14 state agencies access to ChatGPT Enterprise for tasks such as drafting communications, summarising materials, research and brainstorming. Nearly half of participants (48%) had never used ChatGPT before the programme, and the pilot was co-designed with a Generative AI Labor-Management Collaboration Group including SEIU Local 668 union representatives.

Objectives

To test generative AI for state government productivity while keeping employee and union voices central to adoption decisions.

Activities

Pilot rollout of ChatGPT Enterprise across 14 agencies; official evaluation published March 2025; subsequent expansion of access and training.

Results

Participants self-reported saving an average of 95 minutes per employee per day (roughly eight hours a week), and 85% reported a 'somewhat' or 'very' positive experience. The job-description drafting and onboarding cycle was cut from 90 to 60 days, and 93 IT policies were consolidated down to 34. By mid-2026 the state had expanded generative AI access to more than 3,000 employees across 35 agencies, with 6,500 more enrolled in training; the Department of Human Services used AI-assisted document scanning on roughly 400,000 documents, flagging about 30% for quality review.

Conclusions

Officials, including Governor Shapiro, have stressed that AI functions as a 'job enhancer' requiring human oversight rather than a replacement for staff, and that the tools are not suited to every job type.

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

Data sources

Where this practice's information was retrieved from, and when.

Attachments

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