Mark43 embeds the Amazon Q Business web experience directly into its cloud-native Public Safety Platform, which includes Computer-Aided Dispatch (CAD), Records Management System (RMS), and analytics.

In practical terms, this means:

• AI assistant inside existing workflows: First responders and command staff access a generative AI-powered assistant from within the same CAD and RMS applications they already use, via an embedded iframe-based web experience.
• Natural language search and summaries: Officers can ask questions in plain language and receive instant answers and automated case report summaries, cutting administrative work from minutes to seconds.
• Unified data access: Amazon Q Business connects to multiple data sources (for example, Amazon S3 and Amazon RDS) and other enterprise systems, so the assistant can surface relevant, authorized information without Mark43 having to build a separate retrieval augmented generation (RAG) pipeline.
• Low-code integration: Mark43 was able to embed the Amazon Q Business web experience with minimal development effort, allowing their teams to focus on designing a rich AI experience rather than building infrastructure.

The result is a reimagined way for agencies to interact with mission-critical applications: faster access to insights, less time on paperwork, and more time focused on serving communities.

Security and responsible use are central to how Mark43 uses Amazon Q Business in public safety environments.

Key controls include:

• Identity and access alignment: Amazon Q Business integrates with Mark43’s existing identity and access management. Users only see information they are already authorized to access in CAD, RMS, or other connected systems. If a user cannot see data outside the AI assistant, they cannot see it inside the assistant either.
• Data-source–bound responses: The AI assistant is limited to authorized agency data sources. It does not draw on general Large Language Model (LLM) knowledge, which helps keep responses aligned with agency records and policies.
• Administrative guardrails: Mark43 administrators can configure Amazon Q Business controls to block specific topics and filter both questions and answers using keywords, helping ensure responses follow public safety guidelines and protocols.
• Human-in-the-loop: Mark43 explicitly recommends human review for critical decisions. The AI assistant is designed to support, not replace, professional judgment.
• Secure cloud foundation: The solution runs on a modern AWS-based architecture using services such as AWS Lambda, AWS Fargate, Amazon EC2, Amazon S3, and Amazon RDS, designed to support high levels of reliability and resilience for mission-critical workloads.

Together, these measures help agencies adopt generative AI while maintaining the confidentiality, integrity, and availability standards expected in public safety.

Agencies using Mark43’s AI capabilities with Amazon Q Business are seeing value across efficiency, decision support, and organizational learning.

Key outcomes include:

• Reduced administrative time: Automated summaries and instant answers to natural language queries reduce administrative tasks from minutes to seconds, freeing officers and staff to focus on higher-value work.
• Improved situational awareness: Real-time access to insights from CAD, RMS, and other connected systems supports faster, more informed operational decisions for both frontline personnel and command staff.
• More effective investigations and training: Agencies see potential for AI-powered search to enhance investigations, provide real-time decision support, and make officer training programs more efficient by quickly surfacing relevant information.
• Democratized insights: Stakeholders at events like the International Association of Chiefs of Police (IACP) conference noted that AI-powered search can help democratize access to insights across the agency, reducing time spent answering basic questions and enabling staff to focus on complex issues.
• Continuous improvement: Mark43 plans to keep expanding its Amazon Q Business integration, with a focus on user experience and operational impact, so agencies can continue to reshape how they use data in daily operations.

Overall, the integration helps agencies rethink how they use their existing data and systems, turning them into more accessible, actionable tools for public safety professionals.