AWS Public Sector Blog

At the 2025 Amazon Web Services (AWS) Federal AI Conference in Virginia, Paras Malik, the Chief AI Officer at the U.S. Department of the Treasury, joined AWS Global Head of Financial Innovation Michael Greenwald to share how Treasury is taking a human-centered approach to the use of AI tools. Their conversation highlighted lessons other agencies can apply as they explore promoting AI leadership at scale.

Organizations operating in AWS GovCloud (US) might require alternative architectural approaches, depending on service availability in their target Region. This post presents an architecture that’s deployable on AWS GovCloud (US) for secure generative AI experimentation using Amazon SageMaker AI, AWS Lake Formation, and Amazon Bedrock.

How can you use the power of agentic AI but give yourself a more deterministic (or consistent) output? In this post, we show you how Agent SOPs work and explain how you can use them in your agentic workloads.

Monitoring agricultural practices across Canada’s vast landscape is essential for preserving soil health and water quality. To address this challenge at scale, Agriculture and Agri-Food Canada (AAFC) collaborated with AWS to build a cloud-based proof of concept (PoC) solution that processes synthetic aperture radar (SAR) satellite imagery, which can detect changes in agricultural land use and tillage practices.

When a hurricane makes landfall or a power outage takes servers offline, government operations don’t get a pause button. CentralSquare Technologies, North America’s leading public sector software provider, saw an opportunity to change that.

Teams from AWS, working with Sentient Industries, brought the power of AI directly into Excel spreadsheets. Logistics officers can now type the device description in Excel and have the power specs retrieved from a knowledge base in Amazon Bedrock. Unlike a chat-based solution, the AI directly loads the data into spreadsheet cells, creating a streamlined and efficient user workflow. The AI meets the users where they are, and this capability is now being commercialized by Sentient. Read this post to learn more.

Learn how Seesaw worked with Amazon Web Services (AWS) to build an AI-powered reading assessment tool using Amazon Transcribe, and how it has supported teachers at Vacaville Unified School District (VUSD) in northern California.

Read this post to learn how the City of Virginia Beach worked with Amazon Web Services (AWS) to modernize its Emergency Communications and Citizen Services (ECCS) using Amazon Connect, introducing AI capabilities that help serve citizens faster and reduce dispatcher workloads.

In this post, we explore how the intuitive interface, collaborative features, and diverse learning modalities of PartyRock make it an ideal tool for educators who want to support AI literacy goals while accommodating different learning styles and technical backgrounds.

Working with AWS, a three-person Boise State University team built boisestate.ai, a custom AI platform, in just six months. The solution gives the entire campus access to multiple models while cutting per-user costs by more than 80%. Read this post to learn more.