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CASE STUDY

Enhancing Public Safety: How Valor Systems Automated Incident Summarization with AWS
Public Safety & Security Software

Public Safety and Security Software

Executive Summary

Valor Systems, a global provider of mission-critical public safety software, faced challenges standardizing dispatcher notes across incidents. Inconsistent formats required manual reconciliation, slowing response times and reducing situational awareness. Partnering with Aligned Technology Group (ATG), Valor deployed an AWS-native Generative AI solution to automate incident note summarization. Leveraging Amazon Bedrock, API Gateway, Lambda, and Aurora PostgreSQL, the solution reduced manual processing time, improved accuracy, and provided standardized summaries for 100% of incidents. This modernization strengthened operational efficiency and decision-making in high-stakes public safety environments.

Customer Overview

Founded in 1994, Valor Systems provides Computer-Aided Dispatch (CAD), Records Management Systems (RMS), and mobile applications to agencies worldwide. Serving federal, state, and local governments, the U.S. military, universities, healthcare systems, and corporations, Valor delivers a CJIS-compliant SaaS platform enabling first responders to coordinate seamlessly across devices. With deployments in over 39 countries, Valor’s solutions enhance responsiveness and reliability in mission-critical operations.

Situation

When incidents occurred, multiple dispatchers logged notes in different formats and styles. This fragmented, inconsistent data required manual reconciliation—taking 20–30 minutes per incident and often resulting in errors. The lack of standardized summaries limited leadership’s ability to track trends, measure effectiveness, and provide accurate reporting to oversight bodies. Without modernization, Valor risked reduced situational awareness, higher operational costs, and reputational risk due to incomplete or inconsistent reporting.

Task

Valor engaged ATG to:

  • Automate ingestion and summarization of dispatcher notes

  • Standardize outputs into accurate, context-aware summaries

  • Reduce manual review overhead and improve response speed

  • Provide a data foundation for analytics and trend analysis

  • Enable scalability and reliability in mission-critical workflows

Action

Action

ATG deployed a lightweight, AWS-native architecture:

  • Amazon Bedrock for advanced summarization and multi-source reconciliation

  • Amazon API Gateway & AWS Lambda to provide a secure, scalable REST API for ingestion and summarization requests

  • Amazon Aurora PostgreSQL to store both raw and summarized incident data for downstream analytics

  • Amazon CloudWatch & CloudTrail for monitoring, observability, and auditability

This solution allowed internal applications to POST dispatcher notes via the API, returning standardized summaries in near real-time.

ATG Engagement & Expertise

ATG partnered with Valor from proof-of-concept through production. By focusing on a simple, API-driven architecture and rapid speed-to-value, ATG demonstrated early wins that built customer confidence. ATG’s AWS-certified architects ensured the solution was secure, scalable, and integrated with Valor’s broader SaaS platform, aligning with the company’s modernization strategy as an AWS ISV.

Result

Valor successfully deployed automated dispatcher note summarization:

  • Efficiency: Reduced processing time

  • Accuracy: Error rates dropped 

This AWS-native solution delivered measurable efficiency gains while enhancing decision-making in mission-critical emergency response environments.

Last Updated on September 2, 2025 by Navin Zaman

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.