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Credit Saison reports 954% ROI in ChatGPT Enterprise pilot

Credit Saison, a Japanese credit card company with approximately 31.16 million cardholders, reports a 954% return on investment from a ChatGPT Enterprise pilot. The trial involved 315 employees, representing just under 10% of its roughly 3,700 staff in Japan, and ran from late June to early August 2025. The company states the pilot saved 14 hours per participant each month, significantly…

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Key points

  • Credit Saison reports 954% ROI and 14 hours saved per employee monthly in a 315-person pilot.
  • Companywide rollout began in September 2025, one month after the pilot ended.
  • Engineering team reports Codex saves an average of 850 hours of work each month.

Post-pilot surveys indicated high satisfaction, with 75% of managers and 70% of nonmanagerial employees saying they could not do without the tool. Specific departments reported improved job capabilities and satisfaction, with approximately 80% of legal staff and over 80% of IT staff citing positive impacts. The company attributes the success to leadership engagement, including executives using custom GPTs for their own work, and open sharing of experiences via a dedicated Slack channel.

Employees are applying the tool to various tasks, such as automating daily sales debriefs, analyzing corporate clients for better proposals, and roleplaying sales conversations for training. Additionally, the engineering team reports that Codex saves an average of 850 hours of work monthly. Credit Saison views this as the start of a broader "AI transformation" strategy, aiming to extend benefits to customer experiences and organizational structures while maintaining strict security protocols for customer data.

Full story from OpenAI primary sourceOpen source ↗

Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot

OpenAI · 29 October 2026

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Credit SaisonOpenAIChatGPT EnterpriseCodexKazutoshi OnoKatsumi Mizuno

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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