Back office ops · Production

Mark43 embeds Amazon Q Business generative AI assistant into mission-critical public safety platform

The problem

Public safety agencies face the challenge of accessing and analyzing vast amounts of data quickly across multiple systems while maintaining strict security protocols, and agency stakeholders spend significant time on administrative interactions with core mission-critical systems.

Workflow diagram · grounded in source
1
Officer submits natural language query
trigger
“The assistant enables first responders to search information, receive summaries, and complete tasks based on their authorized data access within Mark43's systems”
2
Amazon Q retrieves from authorized data sources
ai_action
“The implementation draws data from objects stored in Amazon Simple Storage Service (Amazon S3) in addition to structured records stored in Amazon Relational Database Service (Amazon RDS). Amazon Q Business automatically uses the data fro…”
3
Guardrails filter responses
validation
“With Amazon Q Business administrative controls and guardrails, Mark43 administrators can block specific topics and filter both questions and answers using keywords, verifying that responses align with public safety agency guidelines and …”
4
AI delivers instant answers and summaries
output
“enabling officers to receive instant answers to natural language queries and automated case report summaries, reducing administrative time from minutes to seconds”
5
Human review for critical decisions
human_review
“We strongly recommend human-in-the-loop review for critical decisions”
Reported outcome

Mark43 embedded Amazon Q Business into their CAD and RMS products, reducing administrative time from minutes to seconds, enabling officers to focus on community service, and empowering command staff with real-time situational awareness.

Reported metrics
Administrative task durationreducing administrative time from minutes to seconds
Reported stack
Amazon Q BusinessAmazon S3Amazon RDSAWS LambdaAWS FargateAmazon EC2
Source
https://aws.amazon.com/blogs/machine-learning/embedding-secure-generative-ai-in-mission-critical-public-safety-applications?tag=soumet-20
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Mark43 embedded Amazon Q Business into their CAD and RMS products, reducing administrative time from minutes to seconds, enabling officers to focus on community service, and empowering command staff with real-time sit…

What tools did this team use?

Amazon Q Business, Amazon S3, Amazon RDS, AWS Lambda, AWS Fargate, Amazon EC2.

What results were reported?

Administrative task duration: reducing administrative time from minutes to seconds (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Officer submits natural language query → Amazon Q retrieves from authorized data sources → Guardrails filter responses → AI delivers instant answers and summaries → Human review for critical decisions.

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