Incident Management Agent
XenonStack · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Public-Safety Dispatch Challenge**
Public-safety dispatch centers are under constant pressure from increasing volumes of non-emergency calls noise complaints, lost-property reports, minor traffic issues, and other routine incidents. These calls consume dispatcher time, require manual data collection, and often result in inconsistent or incomplete incident records. As a result, critical emergencies may receive delayed attention, operational overhead rises, and service quality suffers.
Show the rest of the publisher’s description (10 more lines)
**Our Solution: AI-Driven Incident Intake**
The Incident Management Agent is a cloud-native, AWS-based multi-agent AI system that automates incident intake from citizens via voice or chat. By leveraging Amazon Connect, Amazon Bedrock Agents, AWS Lambda, EventBridge, DynamoDB, and S3, the system conversationally gathers incident data, asks clarifying questions when needed, and automatically generates structured, CAD-ready incident reports — eliminating manual form-filling and human error. The fully serverless, event-driven design ensures seamless scaling and integration with existing dispatch environments.
**Key Benefits & Business Outcomes**
- Reduced dispatcher workload, freeing staff to focus on critical emergencies
- 24/7 availability and scalability without extra human staffing — consistent intake even during peak hours or understaffed shifts
- Faster, more reliable incident logging with accurate, consistent, CAD/RMS-ready reports
- Cost-efficient deployment via serverless architecture and pay-as-you-go model — no upfront hardware or on-premises infrastructure required
- Security and compliance readiness — optional deployment in AWS GovCloud (US), data encryption (AWS KMS), IAM-based access control, and auditability through CloudTrail and CloudWatch
**Ideal Users / Agencies**
Policing departments, fire services, EMS providers, municipal call centers, and any public safety agency wanting to modernize dispatch operations, improve data consistency, reduce staffing pressure, and offer reliable 24/7 incident intake.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI-driven conversational workflows collect incident details through voice or chat and generate complete, structured reports that integrate directly with CAD/RMS systems.
A scalable, serverless, multi-agent architecture improves data accuracy, reduces dispatcher workload, and provides consistent 24/7 intake for routine and non-emergency calls.
Built on AWS-native services with optional GovCloud deployment for CJIS/FedRAMP alignment, ensuring secure, compliant handling of public safety data.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.