fileAI collaborates with AWS on financial sector AI agents

fileAI has partnered with Amazon Web Services (AWS) to launch a new range of AI agents specifically designed for the financial sector, according to a press release dated October 26, 2026. The collaboration, a strategic agreement (SCA), aims to provide AI agents built to complete critical operational workflows, not just assist with them. fileAI's data intelligence platform, fileForge, converts enterprise files into trusted, governed intelligence for AI workflows, combining repeatable skills with business context to carry complex processes to completion.

The partnership allows direct access to outcome-focused AI agents backed by AWS's security, scalability, and infrastructure, available through Amazon Bedrock and AWS Marketplace. Two recent innovations, fileScout and fileForensics, play a crucial role in this collaboration. fileScout optimizes file extraction by mapping files ahead of the process, reducing token consumption and improving model routing. fileForensics identifies fraud signals directly within the processing pipeline, ensuring only clean, relevant, and fraud-checked data enters the workflow.

This ensures faster cycle times, fewer exceptions, and less manual rework for AWS customers, along with the necessary governance and traceability for regulated organizations.

The SCA follows fileAI's successful expansion and recent achievements. On August 27, the company secured investment from SMBC Asia Rising Fund and Singtel Innov8, alongside launching fileScout. The funding supports fileAI's growth in Japan, building on its June 2026 partnership with JRE Ventures and further investment in financial services capabilities.

CEO Christian Schneider emphasized that enterprise AI should be judged on outcomes, not activity. By leveraging Amazon Bedrock and strengthening the AWS collaboration, fileAI is providing finance and financial services leaders with agents that handle complex data and deliver completed, auditable results. AWS Director of Partner Sales & Development in Asia Pacific & Japan, Jamie Simon, highlighted the significance of this collaboration in addressing the challenge of preparing unstructured data for trustworthy workflows.

The partnership promises to streamline the transition from AI pilots to production, enabling customers to achieve confidence and scalability across the region.