Productivity AutomationVerified
Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.
P&G deployed an internal suite of generative AI tools — chatPG, askPG, and imagePG — that employees use daily for tasks including drafting text, querying internal documents, and generating and analyzing images for advertising. The suite launched company-wide in late 2023 and had reached more than 30,000 users as of late 2024.
Details
P&G's CIO Vittorio Cretella confirmed in October 2023 that chatPG was first tested in February 2023 and officially launched company-wide in September 2023, with 8,000 requests received within the first two hours. chatPG provides employees access to multiple large language models selectable by business need; askPG layers in curated internal unstructured company knowledge; and imagePG supports generation and analysis of images and videos, including for advertising workflows. All employees are required to complete a mandatory training and sign an acceptable-use policy before access is granted, with P&G emphasizing that accountability for any AI-generated content rests with the employee.
Products affected
chatPGaskPGimagePG
Sources & Evidence
News Article
Cite this record
Trace Foundation. (2026). Procter & Gamble: P&G deployed an internal suite of generative AI tools — chatPG, askPG, and imagePG — that employees use daily for tasks including drafting text, querying internal documents, and generating and analyzing images for advertising. The suite launched company-wide in late 2023 and had reached more than 30,000 users as of late 2024 (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/cfe98cf5-2284-48d6-a2e7-80aeb9024008. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/practice/cfe98cf5-2284-48d6-a2e7-80aeb9024008
- Data as of
- May 11, 2026
- Last verified
- Not recorded
Other practices by Procter & Gamble
Data AnalysisP&G uses an internal AI system called the Perfume Development Digital Suite to help its R&D scientists design new fragrances up to five times faster than was previously possible. The system analyzes millions of data points and builds predictive models of what scent profiles consumers will find appealing. P&G's Chief R&D Officer confirmed this practice on P&G's official blog in December 2024.Data AnalysisP&G uses an AI-powered analytics platform built with KNIME and partner phData that automatically integrates data from across its supply chain — covering 5,000 products and 22,000 components — to generate real-time demand forecasts and supply projections, replacing a process that previously required hundreds of hours of manual data work by experts from five divisions.OtherP&G deployed AI systems across its global manufacturing plants — in partnership with Microsoft Azure — that use sensors on production equipment to continuously monitor machine health, predict equipment failures before they happen, and inspect every product coming off the line in real time using cameras and sensor readings rather than batch sampling. A pilot at P&G's Berlin Gillette factory has enabled a fully unattended night shift.
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