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HYGH, a digital media company managing 4,000+ advertising displays in Germany, reports significant productivity gains after adopting ChatGPT Business, including 5.5 hours saved per employee weekly and faster product development cycles (from 1-2 months to 2 MVPs per week).
Blue J demonstrates how to scale AI expertise in complex regulated domains by combining GPT-4.1 with retrieval-augmented generation over curated tax documents, achieving <0.14% error rates and 70% weekly user engagement through rigorous feedback loops and domain-specific optimization.
Amgen, a major pharmaceutical company, shares how it leverages GPT-5 in its operations. The case study highlights enterprise adoption of advanced AI models in the biotech/pharma sector.
The San Antonio Spurs have implemented ChatGPT Enterprise to improve operational efficiency and fan engagement, saving 1,800 staff hours monthly and increasing employee AI fluency from 14% to 85%. The organization developed custom GPT solutions across multiple departments including data analytics, community engagement, and partnerships.
Grab uses OpenAI's GPT-4o vision fine-tuning to improve GrabMaps, achieving significant accuracy gains in speed limit sign localization (13%), lane counting (20%), and reducing manual mapping efforts across Southeast Asia's complex road networks.
Holiday Extras, a European travel extras provider, is using AI to build a data-driven and efficient culture, addressing challenges like multilingual marketing and improving data fluency across technical and non-technical teams.
Match Group has successfully deployed ChatGPT Enterprise across thousands of employees, discovering various productivity improvements including cross-functional collaboration, engineering efficiency, and knowledge sharing. The company plans to integrate OpenAI's API into its dating products to enhance user experiences.
Zendesk made ChatGPT Enterprise available to all employees, enabling business users to ask it questions directly, and built a sales intelligence agent used by around 1,000 active users daily to help identify customers most likely to expand their usage.
OpenAI 发布案例视频，介绍法律科技公司 Legora 如何利用 OpenAI 模型、ChatGPT 和 Codex 构建面向法律工作的智能体操作系统，帮助法务团队更快审阅合同、扩展分析范围，将人力留给需要判断力的工作。
Sullivan & Cromwell 律所的 John Savva 展示了如何使用 Codex 构建 Agreement Analyzer 等内部法律工具，将草拟协议、先例和操作手册结合，自动识别问题并生成备忘录与修改建议供律师审阅。
Sotira used OpenAI Codex to build an automated inventory matching platform that connects surplus goods with nonprofit organizations, helping divert millions of pounds of unsold inventory from landfills.
Thomson Reuters shares how it uses ChatGPT Enterprise to create a centralized, collaborative legal workspace—boosting drafting efficiency while ensuring AI outputs are verifiable and citable, in response to the legal industry's strict demands for trust.
Oracle built its own talent market intelligence tool based on ChatGPT, compressing the front-end job requirements analysis in recruiting from 2–4 days down to about 20 minutes. Covering executive search and specialized role hiring, the tool significantly improves recruitment efficiency and information consistency.
OpenAI DevDay 2026 session showing how small Stack Overflow teams used Codex to build Stack Overflow for Agents and reimagine Stack Internal, sharing lessons for accelerating R&D and shipping products faster.
loveholidays uses OpenAI's Codex as a unified interface to democratize technical best practices across teams, resulting in significant productivity gains, including a 73% increase in deployment volume and halved support requests.
Enterprise employees share how they use ChatGPT to accelerate work, achieve automation, accomplish large workloads with small teams, and change the way they work.