AWS for Industries

Category: Amazon Bedrock

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

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.

Introducing seven new features of the Agentic Shopping Assistant on AWS

Introducing seven new features of the Agentic Shopping Assistant on AWS

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.

From Days to Minutes: How we built Multi-Agent KYC/KYB on AWS

From Days to Minutes: How we built Multi-Agent KYC/KYB on AWS

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.

Reducing paint shop downtime with Industrial Data Fabric on AWS

Reducing unplanned downtime in automotive paint shops requires unifying siloed operational data into a contextualized fabric that enables AI-driven root cause analysis and anomaly detection. Today, when a paint shop line goes down, the industrial engineer must manually correlate data across Supervisory Control and Data Acquisition (SCADA) systems, Manufacturing Execution Systems (MES) platforms, downtime logs, […]

How Apollo Tyres Uses AI-Driven APC for First Time Right Tyre Extrusion

This post was co-written with Harsh Vardhan, Global Head of the Digital Innovation Hub, from Apollo Tyres Ltd. Every recipe change on a tyre extrusion line triggers a stabilization period—minutes of off-spec material that must be reworked or scrapped. For high-mix manufacturers running 30–35 setup changes per day, this adds up to 5–6% of total […]

Intelligent alarm management for power and utilities using Amazon Bedrock AgentCore

Intelligent alarm management for power and utilities using Amazon Bedrock AgentCore

In this post, we demonstrate how a large North American Utility is currently running a multi-agent AI architecture on Amazon Bedrock AgentCore to compress alarm triage from hours to minutes, avoiding the manual, multi-system investigation that operators perform dozens of times per shift. We will walk through the industry problem, the multi-agent design, and a reference implementation on GitHub that you can deploy into your own environment.

How Mary Kay Built Self-Triaging Operations with Amazon Bedrock

How Mary Kay Built Self-Triaging Operations with Amazon Bedrock

As part of its ongoing commitment to operational excellence, Mary Kay sought to further accelerate the investigation and resolution of routine infrastructure events through AI-powered automation and intelligent orchestration by activating a capability most Amazon Web Services (AWS) Enterprise Support customers already pay for but never use: the AWS DevOps Agent.

Build a Dynamic Pricing Solution for Restaurants using Agentic AI Strands Agents

Build a Dynamic Pricing Solution for Restaurants using Agentic AI Strands Agents

This blog post introduces a serverless dynamic pricing platform built on Amazon Web Services (AWS) that helps restaurants automatically adjust menu prices based on real-time demand patterns. The solution enables restaurants to maximize revenue during peak hours while attracting price-sensitive customers during slower periods.