AWS for Industries

Engineers rarely validate more than a handful of designs because each physics-based simulation can take days to months. This post walks through a multi-agent Design Space Explorer on Amazon Bedrock AgentCore and the Strands Agents SDK that uses generative AI and ML surrogate models to evaluate car designs across disciplines in minutes.

This post was co-written with Avdhesh Paliwal of Oldcastle APG. Oldcastle APG uses Amazon Bedrock to automate 13 million manual order lines, reducing order processing time from hours to minutes. In the first two weeks of production, the system processed over 10,000 order lines with a 95% automation rate. A team of 2 developers and […]

How TGS gave 322 geoscientists across seven offices and 15 time zones a trusted, citation-grounded AI support agent built on AWS Quick. Scout cut time-to-solution-discovery from hours to minutes and moved from search to conversation to action, driving organic adoption and about 1,590 productivity days returned.

How E.ON Germany built OneApp, a single customer platform that unifies commodity energy, solar, e-mobility, flexibility, and partner services across independent domains on AWS, using a versioned composition contract and an identity trust broker to compose screens and power generative AI features.

A Forrester Total Economic Impact study commissioned by AWS found that migrating Epic EHR environments to AWS returned 185% over three years, with full payback in under six months, lower latency and faster load times for clinicians, and $4.5 million in clinician-efficiency savings.

SPARK is an agentic AI system that detects quality anomalies in an automotive paint shop and responds automatically. It classifies the anomaly, reschedules production around the affected tank, and generates a root cause analysis report with fixes, while operators review each incident before maintenance acts.

CTBC Bank moved COBOL reverse engineering for its core-system modernization from a single AI agent to a governed multi-agent pipeline on Amazon Bedrock AgentCore. A Supervisor coordinates seven single-responsibility sub-agents with quality gates checked in code, delivering an about fourfold efficiency gain with the audit trail a regulated bank needs.

Verisk partnered with AWS to build AI-SDLC: specialized AI agents spanning requirements, grooming, development, code review, and QA on Amazon Bedrock and Amazon Bedrock AgentCore, with people reviewing and approving the work at each stage. See the architecture, early productivity gains, and lessons from a regulated insurance environment.

In this post you will explore how finance and actuarial teams can find a balance between the ability to scale models and to experiment with changes. AWS InsuranceLake accelerator solution will be used ingest commercial auto and workers compensation policy data containing written premiums and enrich it with calculated earned monthly premiums using an Excel spreadsheet-based model that has been turned into an API and made enterprise grade with Coherent Spark on AWS.

BMW Group is building toward Industry AI on Amazon SageMaker AI by fine-tuning task-specific LoRA adapters on engineering process data and serving multiple domain capabilities from a single endpoint. Large language models (LLMs) produce convincing output on general tasks, but company-internal engineering processes, proprietary taxonomies, and domain-specific quality standards aren’t represented in public training corpora. Prompting with rules and examples doesn’t reliably close this gap when a task imposes many hard constraints simultaneously because the model has no training signal telling it which constraints are inviolable. In this post, we describe the architecture, walk through the results, and present a repeatable framework you can apply to your own domain.