Scaling financial trust with intelligent data agents is a promising approach to proactively identify and mitigate risk and compliance issues, rather than relying on bespoke code and narrowly focused solutions. The challenge of achieving scalable transparency in the financial services industry is significant, but leveraging AI can evolve beyond simple pattern recognition to become a critical partner in ensuring financial integrity. Current solutions suffer from being siloed and requiring bespoke development for each specific problem, whereas Hasura Data Delivery Network (DDN) and PromptQL data agent technology offer a paradigm shift by providing a generalized framework adaptable to numerous problems. By focusing on meticulous data modeling, rich metadata, and traceable analytical processes, this approach can build a foundation of trust while empowering human analysts to focus on defining problems and refining analytical prompts, rather than building complex systems. The potential for Hasura's data agent technology is to revolutionize financial services by predicting and preventing risks, enabling institutions to rapidly deploy and adapt risk detection across a broad range of issues.