AWS for Industries
Category: Financial Services
Automate customer complaint classification with AI agents on AWS
In this post, you’ll learn how financial institutions can use Amazon Bedrock AgentCore and Strands Agents SDK — an open source framework for building intelligent, model-driven AI agents — to automate their complaint management process through a near real-time agentic solution that classifies complaints with defensible rationale, captures evidence at each decision point, tracks SLA compliance, assigns clear remediation ownership, and improves mean time to resolution.
Amica unlocks value from Core Insurance applications with Amazon S3 Tables
When AWS released Amazon S3 Tables, this calculus changed. In this post, you will learn how Amica reduced their ETL job runtimes by 80% by building a data lake for core insurance data using S3 Tables.
AI Credit Analytics Across Amazon S3 and Snowflake with Amazon Bedrock AgentCore
In this post, we present a deployable reference architecture that addresses both challenges simultaneously. We show how Amazon Bedrock AgentCore orchestrates a single AI agent that reasons across unstructured documents in Amazon S3 and structured data in Snowflake.
Cloud Adoption Update for Financial Market Infrastructure Providers 1H26
Learn how through its strategic partnership with Nasdaq and AWS, BYMA (Bolsas y Mercados Argentinos) went live on Nasdaq’s Eqlipse Clearing platform, hosted on AWS — becoming one of the first FMIs in Latin America to run core clearing and settlement workloads in the cloud.
How AWS helps Hong Kong banks deliver on HKMA DART Framework
Learn how financial institutions in Hong Kong face a defining moment in how they deliver technology-driven banking: the Hong Kong Monetary Authority (HKMA) launched Fintech 2030 on November 3, 2025, introducing the DART framework with named initiatives and clear supervisory expectations.
Build a Multi-Agent Assessment Workbench with Amazon Bedrock AgentCore
In most financial institutions, project document assessment is a late-stage activity. Architecture teams design digital banking services. Security teams review them weeks later. Risk teams produce assessments months after deployment decisions are locked in. By the time a Chief Risk Officer sees a risk report, the architecture is fixed, exposure is unquantified, and remediation is […]
Sovereign by design: How AWS helps Nigeria’s financial services industry protect data and drive innovation
Nigeria’s financial services industry is thriving. Digital payments are growing at pace, fintech innovation is reshaping customer expectations, and regulators are strengthening frameworks around data governance, operational resilience, and transparency. The Central Bank of Nigeria’s recent Circular PSS/DIR/PUB/CIR/001/004—addressing data localization, market structure, and beneficial-ownership disclosure—underscores the direction of travel: institutions must demonstrate robust control over […]
Scaling ML in production: how BBVA accelerated delivery with MLOps
This post describes how BBVA used pilots to identify reusable ML patterns, standardize operational workflows, and design extensible MLOps templates that accelerate ML delivery while maintaining governance and flexibility across teams and business domains.
Inside BBVA’s MLOps transformation: from data platform to scalable ML on AWS
Learn how BBVA leverages AWS technologies that provide the technical foundation while supporting the bank’s high standards for governance, risk management and auditability.
Multi-Agent Systems for Financial Services on Amazon EKS and AgentCore
In this post, we show how to build that system on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Bedrock, and Amazon Bedrock AgentCore, with authentication, tracing, cost control, and sandboxed code execution at every layer.









