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Public Sector N. America

Public Inquiry Chat

This AI-powered chatbot helps the public find accurate answers across an organization’s web properties with fewer clicks and clearer next steps. The POC focuses on delivering sourced responses from USDA-owned content, surfacing citations alongside answers, and capturing feedback to continuously improve coverage and quality over time.

This solutions is a serverless web-content RAG chatbot built on AWS with three main flows: Visitor Chat, Admin Dashboard, and Knowledge Ingestion

AWS services used: Amazon Bedrock Knowledge Bases, AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SES, Cognito

Realistic cartoon of a young very skinny slim Latino man in his early 30s wearing a t-shirt under farmer overalls, sitting at a computer in a cozy kitchen facing the viewer. Very thin arms, no muscles. Tan skin, dark hair. Computer screen faces the viewer showing green farmland. Above his head a thought bubble reads "!!" Warm kitchen lighting. Wide landscape.

Presentation Analyzer

Human coaching does not scale easily. This solution helps address a common communication challenge in higher education and professional development: presenters often receive limited, inconsistent, or overly general feedback. By creating a structured and repeatable presentation practice experience, this solution supports more personalized coaching and better preparation for high-stakes presentations.

AWS services used for this solution: Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, AWS Lambda, Amazon API Gateway, AWS Kinesis Video Streams, Amazon S3, AWS Cloud Development Kit

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Disease Concept Model Builder

In qualitative health research, transforming hours of patient and caregiver interviews into structured Disease Concept Models is a labor-intensive process critical for regulatory submissions and clinical outcome assessments. This solution leverages generative AI to automatically extract and classify key observations — symptoms, patient impacts, and caregiver impacts — from transcribed interviews (VTT format) into meaningful subdomains.

The result is a structured, publication-ready Disease Concept Model that captures the lived experience of a condition from both patient and caregiver perspectives, dramatically reducing manual coding time while supporting peer-reviewed research and patient-centered product development.

AWS services used:

  • Amazon Bedrock
  • Amazon S3
  • AWS Lambda
  • Amazon API Gateway

Disease Concept Model Builder

PD Reporting Portal

Police Department Leadership needed a centralized system that could capture, organize, and visualize data, while also simplifying the internal complaint review and response workflow.

We built three major components:

  • An AI ChatBot designed to assist Chandler PD staff by providing a quick and intuitive way to access information and streamline their workflow.
  • A responsive public-facing complaint form, allowing Chandler residents to report traffic complaints quickly and accurately from desktop or mobile devices.
  • An internal complaints portal and dashboard, enabling Chandler PD staff and admins to view, filter, manage, and respond to reports using tools like heatmaps, status updates, and email forwarding.

The solution was powered by several key AWS services:

  • AWS Amplify for deploying the frontend interface
  • API Gateway + AWS Lambda for secure API interactions
  • Amazon DynamoDB for storing complaint records
  • Amazon Lex for natural language queries through a chatbot
  • Amazon Simple Email Service (SES) for verified email forwarding
  • ArcGIS for beat-level mapping and complaint heatmaps

Visit blog to learn more and access open-source code.

Sizzle Reel

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Public Comment Analysis

The USDA faces challenges in efficiently managing and analyzing public comments on regulatory proposals. With thousands of submissions on Regulations.gov, manually categorizing and summarizing these comments is time-consuming and labor-intensive. The ASU AI Cloud Innovation Center built an automated system to conduct topic modeling, sentiment analysis, and AI-generated content detection while ensuring accurate clustering and summarization of public feedback.

Key features:

  • Automated Topic Modeling – Categorizes comments for quick analysis.
  • Sentiment Analysis – Assigns overall sentiment to comment groups.
  • AI-Generated Recommendations – Suggests data-driven actions.
  • AWS-Powered Backend – Step Functions, Lambda, Amazon SageMaker, Bedrock (Sonnet 3.5), and API Gateway for real-time insights.
  • User-Friendly UI – Built with React and Material UI, deployed via AWS Amplify.

Learn more and access the solution on our blog.

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Assessor Assistant

Understanding property tax regulations in California is complicated and confusing for most homeowners. This conversational AI assistant uses natural language processing and semantic search to provide accurate, cited answers from sources like the California Assessor’s Handbook, Tax Codes, and Letters to Assessor documents. The chatbot also features an intelligent exemption form finder that guides citizens through tailored yes/no questions, recommending appropriate exemption forms.

AWS services utilized:

  • Amazon Bedrock
  • Amazon Titan Text v2 Embedding
  • Anthropic Claude Sonnet
  • AWS Lambda
  • Amazon OpenSearch Serverless
  • Amazon Textract

This solution significantly enhances citizen interactions, reduces assessor workloads, and streamlines training, transforming regulatory navigation.

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GenomicsMapper

In today’s rapidly evolving public health landscape, standardizing genomic data for federal submissions poses a significant challenge for laboratories. GenomicsMapper addresses this by leveraging generative AI to automate the translation of laboratory-specific genomic terminologies into standardized formats required by national repositories.

The innovative solution uses natural language processing to match diverse local terminologies with standardized NCBI BioSample definitions, significantly reducing manual processing time and improving submission accuracy.

AWS services used:

  • Amazon Bedrock
  • AWS Lambda
  • Amazon API Gateway
  • Amazon S3
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Innovation Sandbox on AWS

Innovation Sandbox on AWS, a new solution addressing the global shortage of cloud skills and the need for experimentation and innovation. The solution provides self-managed sandbox environments through a web-based portal, optional approval flows, cost and duration control via lease templates, and automated account cleanup and recycling. 

The solution allows for customizable budget limits, duration settings, and notification thresholds. 

Technology:
AWS, AWS Solution Library, CloudFormation, AWS Organizations, AWS STS, AWS CLI

More information:

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Procurement Scope Builder

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. Scope Builder uses generative AI to assist procurement specialists during the work scope development process, helping them produce detailed and comprehensive documents. Through a conversational AI interface, the system guides users through the process of creating work scopes, drawing from established best industry practices and relevant past contracts.

AWS services used:

  • AWS Lambda
  • Amazon API Gateway
  • Amazon Cognito
  • Amazon S3
  • Amazon Bedrock

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