State x Category Summary
0 verified implementations across 0 agencies and 5 active solutions.
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CAD / RMS launch hub
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First quantified fact: 0 active solutions with 0 verified implementations across 0 agencies in this hub.
Data as of . Sources: #1
Reported in public records — not yet verified.
Sourced from public procurement data.
Trust confidence: Inferred
Freshness timestamp:
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Nearby public agencies in US-BB, US using public safety emergency services.
CAD / RMS solutions plotted by quality and adoption
| Solution | Quality | States | Quadrant |
|---|---|---|---|
| Canonical Solution 002 Canonical Vendor 002 | 0.80 | 0 | EMERGING |
| Canonical Solution 008 Canonical Vendor 008 | 0.80 | 0 | EMERGING |
| Canonical Solution 014 Canonical Vendor 014 | 0.80 | 0 | EMERGING |
| Canonical Solution 020 Canonical Vendor 020 | 0.80 | 0 | EMERGING |
| Canonical Solution 026 Canonical Vendor 026 | 0.80 | 0 | EMERGING |
Interactive scatter plot showing 5 CAD / RMS solutions. X-axis represents states covered (0 to maximum). Y-axis represents quality score (0.70 to 1.00). Each dot represents a solution. Use Tab to navigate between solutions. Press Enter to view solution details. Press Shift+Enter to add to comparison.
Computer-Aided Dispatch (CAD) and Records Management Systems (RMS) are the operational backbone of modern emergency response. CAD manages call intake, incident routing, unit recommendations, and dispatch workflows. RMS serves as the agency record of truth for reports, evidence links, case lifecycle, arrests, citations, and statutory reporting. Together, CAD/RMS systems connect 911 centers, patrol, supervisors, investigators, prosecutors, and records teams.
Today’s leading platforms are no longer just internal systems of record. They are interoperability hubs that exchange data with mobile data terminals, body-worn camera ecosystems, jail/corrections systems, court systems, state criminal justice exchanges, and analytics tools. For agencies modernizing operations, the primary procurement objective is not just replacing legacy software, but reducing response friction, improving data quality, and sustaining compliance without increasing staff burden.
When evaluating CAD/RMS programs, agencies should prioritize: dispatch workflow configurability (unit recommendations, call-type logic, escalation rules), data model depth (person, incident, location, vehicle, property, offense linkages), CJIS-aligned security controls (access policy, auditability, encryption and session governance), mobile usability (field-first report entry and offline resilience), interoperability (API and event-based integration for CAD, RMS, and evidence systems), and reporting quality (NIBRS/UCR and command-level performance metrics).
Operational durability is equally important. Agencies should validate system behavior during high-volume events, multi-jurisdiction mutual aid, and partial connectivity failures. Strong vendors provide deterministic failover behavior, queue recovery for dispatch events, and explicit incident replay/reconciliation controls so data continuity is preserved during outages.
Verified public-sector implementations show initial program costs commonly ranging from $400,000 to $1.8M depending on agency size, deployment scope, data migration complexity, and integration depth. Annual software/support spend frequently lands between 18-24% of initial implementation value, with additional cost variance driven by mobile seat counts, analytics modules, and interface maintenance.
Implementation timelines generally run 9-18 months end-to-end for full CAD/RMS modernization. The longest phases are usually data conversion/validation, integration testing, and policy/procedure retraining rather than core software installation. Agencies that front-load governance (data ownership, report standards, and change-control decisions) consistently reduce go-live risk and post-launch rework.
Successful procurement teams run structured pilot scenarios before contract finalization: priority call queue stress tests, report approval chains, CJIS role/access audits, and cross-system integration drills with evidence and justice partners. Contract language should include measurable service levels, data export guarantees, and explicit implementation acceptance criteria tied to real operational workflows.
For long-lived systems, portability and transparency matter. Agencies should require clear API and schema documentation, auditable configuration baselines, and repeatable backup/restore testing. These controls materially reduce vendor lock-in risk and improve continuity for future migrations or regional consolidation initiatives.
Data sources: Verified public safety implementations and contract artifacts in Intergov records. Methodology and update cadence documented in platform research notes.
Computer-Aided Dispatch (CAD) systems coordinate the highest-pressure operational moment in public safety: converting incoming calls into accurate, prioritized, and actionable unit dispatch decisions. A modern CAD platform is not just a call-taking tool. It is the command workflow layer that powers incident triage, unit recommendation, response tracking, status transitions, and cross-agency coordination.
For agencies replacing legacy dispatch software, the goal is faster and more consistent response outcomes under real-world constraints: incomplete information, multi-unit incidents, interop dependencies, staffing variability, and surge events. Platform selection should emphasize workflow reliability, dispatch ergonomics, and integration maturity over feature-list volume.
When evaluating CAD systems, agencies should prioritize: call processing throughput (speed/accuracy for high-volume intake), dispatch recommendation quality (unit logic, jurisdiction boundaries, availability modeling), real-time situational awareness (mapping, unit status, and incident timeline clarity), mutual-aid support (cross-jurisdiction interoperability and handoff controls), mobile/field sync (stable bidirectional updates with MDT and patrol workflows), and operational resilience (deterministic failover and queue recovery during outages).
Usability matters as much as architecture. Dispatcher efficiency, keyboard-driven workflows, and reduced screen/context switching directly affect response times and error rates. Agencies should require realistic scenario drills during procurement: multi-caller incidents, escalating priorities, radio congestion, and degraded-network operation.
Public-sector CAD modernization programs commonly range from $250K to $1.2M depending on agency size, integration scope, and migration complexity. Annual support/licensing typically runs 15-22% of implementation value, with additional cost variance tied to map services, interfaces, and advanced analytics modules.
Deployments usually require 6-14 months from contract award to stable operations. The longest risks are dispatch policy harmonization, interface testing with existing systems, and change-management for call center and patrol workflows. Agencies that define acceptance criteria around real dispatch scenarios (not abstract UAT checklists) see materially lower cutover risk.
Require contract language covering response-performance SLAs, interface reliability targets, explicit event auditability, and disaster-recovery test obligations. Include mandatory operational drills before go-live signoff and require configurable reporting outputs for command staff and compliance reporting. Strong procurement controls reduce rework and prevent post-launch process debt.
Data sources: Verified public safety implementation records and associated procurement artifacts in Intergov datasets. Methodology and source controls are documented in platform research notes.
Records Management Systems (RMS) are the legal and operational source of truth for law enforcement reporting. RMS platforms capture incident narratives, arrests, citations, property/evidence links, case relationships, approvals, and disclosure-ready records. A strong RMS implementation directly affects investigative continuity, prosecution quality, records-office throughput, and public trust.
Modern RMS modernization is about more than digitizing forms. Agencies need reliable data structures, role-based workflows, interoperable case handoffs, and high-confidence reporting outputs that stand up in audits, court proceedings, and public-records workflows. When RMS is poorly aligned, downstream systems suffer: evidence mismatches increase, reporting backlogs grow, and supervisory review consistency declines.
When evaluating RMS programs, agencies should focus on: data model integrity (incident/person/offense/property relationships), workflow governance (approval chains, supervisory review controls, revision auditability), evidence/case linkage (clean integration with evidence and case systems), compliance/reporting readiness (NIBRS/UCR and jurisdiction-specific requirements), search/retrieval performance (fast and accurate record access under operational load), and records-office productivity (queue visibility, exception handling, and disclosure workflow support).
Security and governance are core requirements. RMS platforms should provide granular permission models, immutable audit trails for record changes, and explicit retention policy controls. Agencies should test real scenarios: multi-officer incident narratives, supplemental reporting chains, sealed/expunged workflow behavior, and inter-agency record exchange.
RMS modernization programs commonly land between $300K and $1.5M for implementation, with annual support/licensing often between 16-24% of project baseline depending on users, hosting model, and integration complexity. The most expensive phases are typically legacy data migration/normalization and policy-consistent workflow configuration.
Implementation windows usually span 8-16 months. Agencies that invest early in data governance standards, report templates, and records policy mapping consistently reduce post-launch backlog and exception rates.
Contracts should define acceptance criteria around operationally realistic records workflows, not only technical connectivity. Require explicit exportability of canonical records, configurable audit reporting, and periodic restore/continuity verification. These controls reduce migration risk and preserve agency ownership of long-lived records assets.
Data sources: Verified law-enforcement implementation and procurement records in Intergov datasets. Methodology details available through platform research references.
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