Context engineering: The missing layer for trusted AI in financial services

This article highlights context engineering as the crucial next step for successful AI implementation in financial services, moving beyond simply improving models and prompts. While financial institutions have vast amounts of data, current AI systems often lack access to the right data – real-time, governed, and explainable – leading to issues like inaccuracies and compliance risks. Elastic is presented as a foundational platform to solve this by unifying data sources, enforcing security, and delivering relevant context, enabling trustworthy and impactful AI applications in areas like fraud detection, customer service, and risk management.