There’s a growing focus on how GenAI can support decision-making in financial services, but before that, it needs to streamline how information is built, structured, and delivered. When insights become faster, clearer, and more consistent, the value of everything built on top of them naturally increases.
For a leading financial data provider serving 1000+ organizations, manual extraction of credit insights, ownership details, and trading data was becoming increasingly difficult to scale with demand. By partnering with Cloud Kinetics, they introduced a GenAI-driven architecture on AWS, leveraging Amazon Bedrock and serverless orchestration to transform their report pipeline.
What stands out here is not just the adoption of GenAI, but how seamlessly it integrates into existing systems while baking in both speed and quality.
The outcome? Massive efficiency gains without compromising trust or precision.
Want to see how the full AWS architecture was designed and implemented? See the full case study
