How LSEG is helping financial services firms move from...
LSEG is transitioning financial services firms from AI experimentation to the adoption of trusted, auditable, and agentic workflows. The company emphasizes the importance of combining generative AI with proprietary, licensed data to ensure accuracy in high-stakes financial decision-making.
Why it matters
This reflects the broader industry trend of moving AI from theoretical use cases to practical, regulated, and reliable enterprise applications.
Nej D'Jelal explains to Lindsay James how financial services firms are moving beyond AI experimentation towards trusted, auditable and increasingly agentic workflows
The financial services industry has spent two years exploring generative AI in regulated workflows. For Nej D'Jelal, group head of workflows, data and analytics at LSEG, that journey is now entering a new phase.
"At first, firms focused on experimentation: identifying use cases, establishing governance and building the technology stack required to make AI useful," he says. "That meant ensuring consistent access to data and systems capable of answering questions in ways that made sense to end users. There was also an element of fear of missing out as organisations sought to understand industry developments."
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