AWS for Industries

In this post, you will learn how to sequence a post-merger cloud foundation so that governance is established before workloads land, and how pre-close design compresses the integration timeline from quarters to days.

In this post, we deliver the implementation blueprint. We walk through the complete reference architecture built on Amazon Web Services (AWS), break down the layer service topology, detail the multi-agent orchestration pattern using Amazon Bedrock AgentCore and the Strands Agents SDK.

Earlier this year, we announced the Agentic Shopping Assistant on AWS, a generative AI-powered solution that helps retailers give online shoppers the kind of expert guidance they would get from a knowledgeable in-store associate. The Agentic Shopping Assistant on AWS brings the expertise and insights behind Amazon’s successful Alexa for Shopping AI assistant to retail customers.

In this post, you will learn how to build a governance harness in days, and what engineering and Governance, Risk and Control (GRC) teams gain from it.

This post shows how to close that gap with AI agents that reason about telecom alarms the way a senior engineer does using a portable, framework-agnostic skill that packages 3GPP standards, vendor equipment procedures, and event correlation patterns into structured domain knowledge. Teams adopt whichever agent framework fits their operating model – Strands Agents, LangChain/LangGraph, or Amazon Bedrock Agents, without rewriting the skill.

In this post, we explain why uncontrolled AI agent development on managed copilot platforms is the next generation of EUC risk, why discovery is the prerequisite that most governance frameworks skip, and how a four-tier classification model can help financial institutions capture the productivity gains of citizen AI without repeating the remediation cycles of the past.

In the modern manufacturing environment, Product Lifecycle Management (PLM) systems have become essential for competitive advantage. By establishing a single source of truth for product data from initial design through manufacturing, service, and end-of-life, PLM enables manufacturers to make faster decisions, reduce errors, and bring products to market more quickly. For manufacturers using Siemens Teamcenter […]

In this post, we explore the security layers you can apply to protect your AWS Payment Cryptography deployment. These layers complement our existing Security Reference Architecture, which provides broader security guidelines for a multi-account environment. This post assumes you have already implemented those guidelines, including AWS IAM Identity Center.

In this post, we show how to design a system of domain specialized AI agents, each mirroring a role in the financial services three lines of defense model. This is a risk governance model most financial institutions run on: the first line (business and technology teams) owns and manages risk day to day, the second line (risk and compliance) sets policy and independently oversees that risk, and the third line (internal audit) provides independent assurance that both are working.

This post documents a working system. Five KYC/KYB checks, each with its own agent architecture, prompt methodology, and failure modes. We built it, ran it, broke it, fixed it, and are publishing the full method so you can build your own.