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6 Code Four Alternatives for AI Police Report Workflows in 2026

Orlando Diggs
July 26, 2026
5 min read
Comparison of six AI-assisted police report workflow options for law enforcement agencies
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Buyer's Guide

6 Code Four Alternatives for AI Police Report Workflows in 2026

Six Code Four alternatives compared by report inputs, human review, integrations, deployment, security evidence, and pricing status for law-enforcement report workflows.

Contents
  1. The 6 Alternatives at a Glance
  2. What Code Four Includes in 2026
  3. How the 6 Were Selected
  4. The 6 Alternatives
    1. CLIPr
    2. Policereports.ai
    3. TRULEO TruAssist
    4. Axon Draft One
    5. CentralSquare Centerline AI
    6. Mark43 ReportAI
  5. Which Belongs on Your Shortlist
  6. FAQs

Six Code Four alternatives worth evaluating in 2026, and where each fits:

  • CLIPr: camera-flexible drafting layer for mixed fleets and staged, low-IT evaluation.
  • Policereports.ai: multi-input workflows beyond body-worn camera (BWC) audio.
  • TRULEO TruAssist: officer-authored drafting inside a broader suite.
  • Axon Draft One: lower-lift when you are standardized on Axon.
  • CentralSquare Centerline AI: the fit for agencies on CentralSquare public-safety software.
  • Mark43 ReportAI: lower-lift when your records stack is already Mark43.

CLIPr is a practical fit to evaluate when an agency wants to keep its current cameras and records stack: a 30-day agency pilot for up to 50 officers, subject to approval, lets the agency test the workflow on its own footage.

The 6 Alternatives at a Glance

Shorthand Used in This Guide

BWC
body-worn camera
RMS
records management system
CAD
computer-aided dispatch
DEMS
digital evidence management system
VMS
video management system
JMS
jail management system
CJIS
Criminal Justice Information Services, whose Security Policy governs criminal-justice data
SOC 2
System and Organization Controls, an independent security attestation
AWS GovCloud
Amazon Web Services' US government cloud
OptionStrong fit whenPrimary draft inputsStack and deployment patternPublic pricing statusOne point to verify
CLIPr logo CLIPrFocused drafting layer
Mixed camera fleet, staged manual-first pilot BWC and dashcam audio Focused drafting layer beside your stack Utilization-based; 30-day agency pilot for up to 50 officers, subject to approval Camera, export, RMS workflow fit
Policereports.ai product thumbnail Policereports.aiBrowser-based workflow
Multi-input documentation beyond BWC audio Voice, audio, video, notes, documents Browser-based, mobile to desktop Custom quote Transcript vs visual processing; RMS connector
TRULEO product thumbnail TRULEO TruAssistHybrid connector + GovCloud app
Officer-authored dictation plus role-based assistance Officer dictation, plus BWC, audio, or CAD files Hybrid connector plus AWS GovCloud app Public role-based prices Which license holds the report workflow
Axon Draft One product thumbnail Axon Draft OneAxon-native module
Standardized on Axon Evidence or Records BWC audio and transcripts, narration, notes Module inside the Axon ecosystem Custom, contact sales Non-Axon media and third-party RMS handoff
CentralSquare product thumbnail CentralSquare Centerline AISuite-native; standalone claimed
Running CentralSquare 911, CAD, or RMS BWC transcription, dictation, interviews Suite-native; standalone claimed Custom, demo What "standalone" actually includes
Mark43 product thumbnail Mark43 ReportAIMark43-native module
Centered on Mark43 RMS and CAD data CAD data, BWC transcription, location, weather Native module in the Mark43 platform Custom, demo Whether Mark43 RMS is required

Order reflects breadth of fit across agencies, not a black-box score.

CLIPr publishes this guide and appears as a clearly labeled mixed-fleet option. The remaining products are grouped by deployment model. Editorial order is not a score or winner ranking, and current pricing and fit must be verified for the agency's deployment.

What Code Four Includes in 2026

Code Four Labs sells an AI platform for law enforcement with three surfaces, REPORT, INSIGHTS, and Flash, so replacing one is not replacing all three.

Code Four homepage with the headline The AI Platform for Law Enforcement above annotated bodycam footage
Vendor product image.

Three product surfaces

REPORT drafts from BWC footage, transcripts, CAD, notes, and photos, source-linked and officer-approved (visual-analysis claim vendor-reported). INSIGHTS is a separate investigation layer; Flash is a mobile field app (June 9, 2026 privacy notice).

Pricing

Homepage lists $50 per officer per month. Confirm which of REPORT, INSIGHTS, and Flash it covers, plus minimums, usage and storage, connectors, and term.

Deployment and integrations

Vendor cites implementation in days and names Axon Evidence, Motorola, Getac, Mark43, and Tyler paths plus a custom API. Treat exact compatibility, versions, and data direction as quote questions.

Security materials

Trust pages cite TLS 1.2+, AES-256 at rest, multi-factor authentication (MFA), role-based access, AWS GovCloud eligibility, and a subprocessor list (vendor's own). Put storage, retention, deletion, export, and model-use terms in the signed agreement.

Public Proof, Kept Separate From Vendor Claims

Code Four reports 100+ US departments and a 65% average reduction in report-writing time, both vendor-reported.

Keep those separate from independent records: City of Pocatello meeting minutes record a one-year $33,600 agreement in April 2026 after a trial, with an AI-use disclosure policy and officer review, correction, and sign-off.

Local reporting from the Maine Monitor and the Park Record covers pilots in Wilton, Maine and Heber City, Utah: useful context, not controlled evaluations, and a negotiated contract is not list pricing.

None of this argues for leaving. Code Four stays credible for agencies that value its visual-plus-audio claims, source-linked review, public per-officer price, and mobile workflows; the alternatives below fit a different stack, input model, or procurement package.

How the 6 Alternatives Were Selected

Every option documents a real law-enforcement report-writing workflow in first-party material, compared on inputs, human review, deployment, pricing, and security on equal terms. Tools leading with footage analytics rather than the drafting police report writing software buyers recognize were left out.

There is no weighted scorecard, on purpose: CJIS Security Policy alignment is a pass-or-fail, not a number to average. The guides to AI police report generators and bodycam transcription software go deeper, and the Federation of American Scientists (June 2026) recommends agency-owned evaluation and phased deployment, which shaped this pilot-first structure.

6 Code Four Alternatives for Report Drafting

The cross-stack options come first, led by CLIPr, then the platform-native modules.

01

CLIPr: Staged, Camera-Flexible Overlay for Mixed Fleets

Focused AI-assisted report-drafting layer beside the existing evidence stack.

CLIPr publishes this guide, and this section is held to the same evidence standard as every other.

CLIPr homepage showing AI-assisted police reports drafted from body-worn camera audio
CLIPr overlay, vendor image.

CLIPr turns BWC and dashcam audio into a first draft of the police report. The officer reviews, edits, and approves that draft and remains responsible for the final report; the current public workflow includes copying the finished report into the agency's RMS.

CLIPr's report-drafting path begins with audio and transcription, keeping the draft grounded in verified spoken facts and tying review back to the source recording. Compared with a workflow that depends on broader visual-scene interpretation, this narrower input path can reduce exposure to visual-model hallucinations, compute requirements, and processing latency. That does not mean all visual analysis is unsafe; visual review can remain useful when the use case requires it.

CLIPr's staged model is a rollout order, not a set of paid tiers:

CrawlDrag-and-drop upload from the existing evidence platform, officer review, and RMS copy, validated on representative incidents.
WalkDock-based auto-upload, added only after the camera and DEMS path and agency controls check out.
RunDirect RMS handoff, considered only where the exact RMS vendor, API, security review, and contract permit it.

The posture behind that sequence is what CLIPr calls "AI: Your Way": deployment bends around the agency's existing cameras, evidence platform, and approval workflow. That comes with hands-on implementation, template tuning against agency report formats, and a mobile app for field audio capture.

The low-IT starting point works for agencies without dedicated technical staff, while the staged deployment model can scale across multi-precinct, county, state, and metropolitan fleets, subject to deployment scope and contract terms.

  • Security posture: CLIPr's public materials describe a SOC 2 compliant architecture and a CJIS Security Policy-aligned design. Request current, deployment-specific materials and confirm report type, period, scope, exceptions, and deployment coverage in procurement.
  • Contract terms: ownership, retention, deletion, export, model-use terms, subprocessors, audit, and legal hold belong in the signed agreement.

For international deployments, CLIPr can support regional data residency and applicable regional privacy and security requirements where the selected hosting region, deployment architecture, and contract make that support available. Agencies should confirm the data region, cross-border transfer terms, subprocessors, retention, deletion, and local requirements in writing.

For category context rather than endorsement, Axon's most recent annual filing with the US Securities and Exchange Commission (SEC) lists Clipr.ai among AI-enabled report-narrative drafting providers.

Why it belongs on the shortlist

It can meet the following criteria without forcing a platform change:

  • Camera-agnostic layer beside your stack, so a mixed or non-Axon fleet is not a blocker and the RMS and evidence systems stay in place.
  • Utilization-based pricing plus a 30-day agency pilot, so the criteria get tested on your own footage before any broader commitment.
  • The crawl, walk, run sequence lets an agency start with drag-and-drop and deepen only when conditions are met.

Axon Draft One is the lower-lift pick inside an Axon-centered stack, and the platform-native modules can be the lower-lift fit inside their own suites. For agencies prioritizing mixed-fleet compatibility and staged adoption, CLIPr is a practical option to evaluate.

Strong fit when

The fleet is mixed or non-Axon, the agency wants to validate an AI-assisted first draft manually before adding automation, and it needs a low-IT starting point that can expand across teams or a larger fleet.

Pricing: custom and utilization-based; CLIPr's public page states unused utilization can carry forward to the next budget year. Get a written quote covering volume, carry-forward, implementation, support, and term.

Request a 30-Day Agency Pilot
  • 30-day pilot for up to 50 officers
  • Camera inputs and RMS handoff verified in your pilot
  • CJIS Security Policy-aligned
02

Policereports.ai: Multi-Input Documentation Alongside RMS and CAD

Standalone, browser-based public-safety documentation workflow that sits alongside your RMS and CAD.

PoliceReports.ai homepage with the headline Faster Reports, Stronger Cases, Instant Analysis
Vendor product image.

The vendor's product page describes structured report generation from voice, audio, video, notes, and file uploads, plus a report checker that prompts on completeness, consistency, and policy points. Access is browser-based from mobile, tablet, and desktop.

Drafts and checker output feed an officer-owned review; the officer still writes, corrects, and signs the final police report. Ask which drafts, prompts, and checks are logged and retained, and who can export them.

  • Input breadth is the genuine strength: agencies that do not want a BWC-only workflow, or that document from mixed evidence types, get more surface area here.
  • Integration: the vendor's FAQ says it works with most RMS and CAD systems while telling buyers to confirm their setup. Confirm the connector, direction, and version, not the category claim.

Public Deployment Context

One public marker: the City of Lebanon, New Hampshire AI registry lists PoliceReports.AI as active in its police department since May 2024 with agency-reported positive feedback. A registry entry is adoption evidence, not an evaluation.

On security, Policereports.ai's page describes client-side encryption, 256-bit encryption, and its own published SOC 2 claim; request the current report, scope, exceptions, architecture, and subprocessors for the proposed deployment.

Strong fit when

Input flexibility beyond BWC audio matters, including document-heavy and forms-based documentation.

Pricing: custom quote, no published rate; confirm modules, integrations, and support.

Procurement Considerations

  • Does drafting run on transcript audio, visual video analysis, or both, and for which file types, sizes, and codecs?
  • Is evidence ingestion direct from a DEMS or handled by upload?
  • What is the exact RMS or CAD connector, in which direction does data flow, and who supports it?
  • Which retention, export, and audit artifacts are kept, and for how long?
  • What does the custom quote include: licenses, pilot terms, usage, storage, training, and support?
03

TRULEO TruAssist: Report Drafting Inside a Broader Assistant Suite

Officer-authored report drafting plus a broader patrol, investigation, and command assistant suite.

Truleo homepage with the headline Intelligence That Solves Cases Faster, positioning its analytics-first platform
Vendor product image.

This is a different design from BWC-first drafting. TRULEO's pages center the officer's own recollection, entered by talking or typing with prompts, with the option to add BWC, audio, or CAD files.

The officer stays the author throughout, closest to traditional report writing; the guide on how to write a police report covers the elements every draft still needs.

  • Retention and audit: TRULEO's help documentation describes report-writing audit in unusual detail, prompts, responses, edits, intermediate drafts, and final output, with a 90-day default retention and extended options. Confirm deletion, legal hold, and export completeness against agency policy.
  • Deployment: a hybrid model, an on-premise connector that mirrors source-system permissions, with the web application running in AWS GovCloud and outbound-only communication. Confirm the exact system, version, method, and what streams or persists off-premises for each enabled feature.

A January 2025 explainer from the US Department of Justice (DOJ) Community Oriented Policing Services (COPS) Office describes TRULEO's review and sign-off workflow and general governance; it predates current versions, so use it for governance themes, not feature facts.

Strong fit when

The agency prefers an officer-authored dictation workflow and wants role-based patrol, investigations, or command functions in the same platform.

Pricing: public role-based tiers; investor filings differ, so confirm rates and license scope. Role-based licenses and per-officer platform rates are not equivalent units; normalize the full quote before comparing.

Procurement Considerations

  • Which license, Patrol, Investigations, or Command, contains the report workflow the agency actually needs?
  • How much of a typical draft comes from BWC-derived facts versus officer dictation, on your incident mix?
  • What data leaves the premises, what persists, and under which retention settings?
  • How many connected applications will the per-application connector fee apply to?
04

Axon Draft One: Report Drafting Inside the Axon Ecosystem

Report drafting managed inside the Axon Evidence and Records ecosystem.

Axon Draft One product page describing draft report narratives generated from bodycam audio transcripts
Vendor product image.

Axon's product and help pages describe report drafts powered by BWC audio and transcripts: one or more recordings, plus officer narration or typed notes for what the audio missed.

A nuance from the help documentation: any playable audio or video file in Axon Evidence can be used, not Axon-camera footage alone.

One boundary to keep straight: Axon describes Draft One as audio and transcript driven. Do not credit it with the visual-frame analysis Code Four claims for REPORT; test both claims the same way in a pilot.

  • Workflow: side-by-side video and transcript review, restrictions for specified incident types, required officer review and sign-off, and event history for auditing.
  • Retention: per Axon's help documentation, original-draft retention is configurable and off by default, and that feature does not preserve edited intermediate versions. Check those settings against the agency retention schedule and legal-hold obligations before piloting.
  • RMS handoff: a documented path can insert reports into a third-party RMS; confirm whether that means insertion, export, or copy for your RMS and version.

The strongest fit is an Axon-centered agency, where evidence, transcription, and drafting stay in one place and workflow friction is genuinely lower.

For a mixed or non-Axon fleet, the tradeoff to weigh is that outside media must route into Axon Evidence first, which a camera-agnostic overlay avoids.

On security, request the standard package scoped to the proposed deployment: architecture, subprocessors, encryption, access controls, audit logs, retention and export terms, and current attestations.

Strong fit when

The agency already runs Axon Evidence or Axon Records and wants report drafting managed inside that ecosystem.

Pricing: custom, contact sales; confirm the AI plan, Evidence and Records dependencies, and RMS workflow.

Procurement Considerations

  • Which AI plan or add-on is required, and which Axon Evidence or Records dependencies come with it?
  • How does non-Axon media get into Axon Evidence for drafting, and at what storage cost?
  • What is the exact third-party RMS handoff: insertion, export, or manual copy?
  • Which transcript, draft, and audit artifacts are retained, and under which settings?
05

CentralSquare Centerline AI: CentralSquare-Native or Standalone Workflows

AI reporting connected to CentralSquare 911, CAD, and RMS products, with a stated standalone option.

CentralSquare homepage presenting its public safety and public administration software suite
Vendor product image.

CentralSquare's product pages describe BWC transcription, drafting for report narrative sections, customizable templates, forms, and workflows, voice dictation, and interview transcription.

The vendor describes built-in supervisor approval workflows. The officer still reviews, edits, and approves the draft; confirm which draft versions and approval events are retained as audit artifacts.

  • Fit: the natural home is a CentralSquare shop. The vendor names integrations with its Vertex NG911 and Pro, ONESolution, and Enterprise public-safety suites in a November 2025 article.
  • Standalone claim: worth testing on its own terms, since "standalone" and "suite-native" rarely mean identical capability. An August 2025 hands-on review from OFFICER Media Group evaluated the suite with one agency interview, a trade review, not a controlled study.
  • Security: the AI-approach page states original source data is preserved and not exposed to other customers, third parties, or AI learning models. Attribute it to the vendor, then get the same terms written into the contract and confirmed against architecture and subprocessor documentation.

Strong fit when

The agency wants AI reporting connected to CentralSquare 911, CAD, or RMS, or wants to evaluate the standalone option the vendor states it offers.

Pricing: custom, demo; no public rate shown, which is a page observation, not a cost conclusion. Confirm suite dependencies and scope.

Procurement Considerations

  • Which Centerline capabilities are included standalone, and which require specific CentralSquare suites or releases?
  • What is the integration path for non-CentralSquare BWC, DEMS, and RMS systems?
  • Which source artifacts, drafts, and approval histories are retained and exportable?
  • What does the quote cover: modules, implementation, training, support, and term?
06

Mark43 ReportAI: Mark43 CAD/RMS-Native Fit

AI report module embedded in Mark43's CAD and RMS platform.

Mark43 homepage presenting its intelligent platform for public safety operations
Vendor product image.

Mark43's product page names CAD data, BWC footage transcription, notes, location, and weather as inputs that populate report fields and narrative sections.

An April 2026 vendor press release announced general availability to Mark43 customers, with logged AI interactions and configurable controls, and states that first responders review and refine drafts before submission; confirm which artifacts the agency can retain, export, and audit.

  • Native data access: for a Mark43-centered agency, drawing on report fields and operational data can cut duplicate entry an overlay cannot. The mirror-image question is whether ReportAI is sensible without Mark43 RMS at the center, where a camera-agnostic overlay carries no such dependency.
  • Security: the product page says ReportAI is powered by AWS GovCloud. A cloud region name is not a compliance conclusion for any vendor in this guide; request product- and deployment-specific evidence.
  • Public record: a June 2026 Denton County, Texas agenda item records a proposed $132,579 addition of BriefAI and ReportAI to an existing Mark43 RMS agreement through 2027; a negotiated, combined-module contract, not list pricing.

Strong fit when

The agency wants AI-assisted report fields and narrative text inside a broader Mark43 RMS and CAD data model.

Pricing: custom, demo; no public rate shown. Confirm RMS and CAD dependencies and scope. The Denton County order above is a negotiated, combined-module contract, not list pricing.

Procurement Considerations

  • Is Mark43 RMS or CAD required, and which BWC and DEMS sources are supported for this deployment?
  • How do source facts map to report fields, and how are conflicts between sources surfaced to the officer?
  • Which drafts, versions, and AI-interaction logs are retained, exportable, and deletable?
  • What do the ReportAI entitlement, configuration effort, and implementation actually cost in the quote?

Which Code Four Alternative Belongs on Your Shortlist?

For agencies with mixed fleets that want to leave the current RMS in place, CLIPr may belong on the shortlist. Its 30-day agency pilot, subject to approval, lets the agency test its exact footage and handoff workflow. Other products may fit better in the following situations:

  • Mixed or non-Axon fleet, or a focused overlay pilot without touching the RMS: evaluate CLIPr alongside Policereports.ai and TRULEO on your actual media exports and RMS route.
  • Documentation beyond BWC audio, including documents and forms: put Policereports.ai on the proof-of-concept list and confirm the connector for your RMS and CAD.
  • Officer-authored dictation with role-based functions and published seat pricing: evaluate TRULEO TruAssist and price out tiers and connectors for your actual application count.
  • Already standardized on Axon Evidence or Records: Axon Draft One may be the lower-lift option; confirm retention configuration, entitlements, and prosecutor fit before deciding on feature differences alone.
  • Running CentralSquare 911, CAD, or RMS: evaluate CentralSquare Centerline AI natively, and test the standalone claim on its own terms.
  • Mark43 CAD/RMS is your operational stack: evaluate Mark43 ReportAI natively, starting with entitlement and draft-history configuration.
  • Local policy or your prosecutor prohibits the proposed use: do not deploy any report-drafting product until the governing requirement changes or an approved process exists.

Running the pilot well. Use the same baseline window and incident mix before and during the pilot, report medians and distributions rather than averages, and count review and correction time, not just generation speed.

Preserve a manual fallback throughout, and treat a suspiciously low correction rate in the first weeks as a supervision flag, not a win.

Capture officer feedback while it is fresh: a short questionnaire after each drafted report gives decision-makers adoption evidence instead of anecdotes. Track these raw measures for every vendor piloted:

  • Median active writing and review time per report.
  • Percentage of drafts requiring material factual correction.
  • Supervisor return and rework rate.
  • Officer adoption, and the stated reasons for opting out.
  • Percentage of incidents excluded or routed to the manual fallback.
  • Integration failures and manual handoffs.
  • Training and support hours consumed.
  • Total quoted annual cost under the agency's actual volume and module needs.

Two governance notes before signing anything.

California agencies are covered by SB 524 (chaptered October 2025), which adds disclosure, signature, draft-retention, and audit requirements for AI-drafted police reports; other states' agencies should verify current law and local policy.

The approval question is also wider than the tech. AI in law enforcement covers the policy and oversight context, and technology and policing covers the stakeholder side that decides whether a pilot becomes production.

Frequently Asked Questions

The six credible alternatives with documented law-enforcement report workflows are CLIPr, Policereports.ai, TRULEO TruAssist, Axon Draft One, CentralSquare Centerline AI, and Mark43 ReportAI.

Fit depends on which inputs drive the draft, the systems the agency already runs, how officers review and approve reports, what the quote covers, and which security evidence applies to the proposed deployment.

None of the six is a universal replacement.

Code Four's homepage states a public price of $50 per officer per month.

What that rate includes is a quote question: confirm which of REPORT, INSIGHTS, and Flash are covered, plus minimums, storage and usage, connectors, implementation, training, support, and contract term.

Usually not. REPORT drafts police reports, INSIGHTS is a separate investigation and data-fusion layer, and Flash is a mobile field product.

The alternatives in this guide compare against the report-writing workflow. An agency using INSIGHTS or Flash should run a module-by-module gap check before assuming any single alternative covers all three.

Every vendor here names supported systems, and none of those claims should close the question.

"Integrates with" can mean manual copy, one-way export, middleware, a connector fee, or a native module.

Confirm the exact camera or evidence platform, RMS vendor and version, method, data direction, and cost in writing, then test the path during the pilot.

Request the same package from every vendor:

  • architecture overview
  • subprocessor list
  • data locations
  • encryption in transit and at rest
  • identity and access controls
  • audit logs, retention, deletion, and export terms
  • model-use terms
  • incident-response commitments
  • test reports
  • current attestations
  • and a control mapping for the specific deployment being quoted

Badges and cloud names are starting points, not evidence.

Run a pilot on representative incidents with a baseline measured the same way.

Compare drafts against source recordings, track median active writing and review time, material correction rates, supervisor returns, adoption, and the share of incidents routed to a manual fallback.

Report medians, not just averages, and keep officers responsible for reviewing, editing, and approving every report. CLIPr's 30-day agency pilot for up to 50 officers, subject to approval, is built to run exactly this test on your own reports.

CLIPr Team
AI-assisted public safety documentation

The CLIPr Team writes about AI-assisted documentation for law enforcement.

CLIPr turns BodyCam and DashCam audio into AI-assisted first drafts of police reports that officers review, edit, and approve into their existing RMS, backed by a SOC 2 compliant architecture and a CJIS Security Policy-aligned design.

Build the Shortlist Around Your Workflow

Code Four remains a credible option. This guide leads with CLIPr because it fits the most agencies without a stack change, then names exactly when each competitor is the better call.

The six alternatives exist because agencies differ in what should drive the draft, the systems already deployed, how officers prefer to author, and what a quote needs to cover.

Pick the two or three products that match your inputs and stack, run the same pilot measures on each, and let your own correction rates, review times, and officer feedback make the decision.

CLIPr currently advertises a 30-day agency pilot for up to 50 officers, subject to approval.

CJIS Security Policy-aligned SOC 2 compliant architecture