What happened
LSEG deployed ChatGPT Enterprise and OpenAI APIs across the organization, enabling thousands of employees globally within weeks.
Why it matters
Product release cycles dropped from 3–6 months to 2 weeks, and customer delivery timelines accelerated to about 4 weeks from request to production.
What to watch
The company is now embedding AI into research, product development, and client-facing workflows, with a focus on combining OpenAI models with its trusted data via Model Context Protocol.
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LSEG, sitting at the heart of financial markets, supports over 40,000 customers and 400,000 end users. For years it invested in AI and machine learning, but generative AI opened a new opportunity—not just improving systems, but transforming how people interact with data. The company chose OpenAI as a partner because many clients already used ChatGPT, creating a natural integration path.
Adoption scaled quickly, driven by grassroots enthusiasm. Early users demonstrated immediate value, leading to dramatic results: product release cycles fell from three to six months to two weeks, and customer delivery timelines shrank to about four weeks. Governance was embedded from the start, with model evaluation, human-in-the-loop review, and strict data privacy controls, enabling innovation without compromising trust.
The big shift is cultural—customers now expect results in weeks or days, not months. By combining OpenAI models with LSEG's trusted data through systems like Model Context Protocol, the company aims to cut time to insight for its customers. The stakes hinge on whether it continues to scale this approach broadly: empowering its 27,000 employees with AI, the potential is "extraordinary," but the real test lies in maintaining that balance of speed and trust as AI becomes more embedded in workflows.
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