What it does
- Helps turn structured crash facts and notes into draft narrative language.
- Flags missing or unclear facts before review.
- Supports CR-3 training, coaching, and reviewer workflows.
Controlled beta planned for officer/deputy feedback
AI-assisted crash narratives with the officer still in control.
Crash Narrative AI supports crash narrative drafting, missing-info review, CR-3 training, and reviewer workflows for Texas officers and deputies.
Training-first • Officer-reviewed • Texas CR-3 focused • Built for controlled pilot feedback
Officer remains responsibleThe draft is reviewed, edited, and approved by the officer before any official use.
Beta-interest siteThe first goal is tester recruitment and practical feedback, not selling a finished product.
Training data onlyEarly pilots should use fake, training, or sanitized crash scenarios.
Fast orientation
What this does — and what it does not do.
What it does not do
- Does not replace officer judgment, TxDOT instructions, or agency policy.
- Does not finalize an official report by itself.
- Does not remove the need for supervisor or agency review.
What it helps with
Six core workflows in a compact review panel.
The same feature message is preserved, but users can scan it faster without a long vertical stack of cards.
Narrative drafting
Turns structured crash facts and officer notes into a clear draft narrative that can be reviewed, edited, copied, or exported.
Organizes facts into report languageKeeps officer editing in the workflowSupports cleaner first drafts
Missing-info review
Flags incomplete or unclear details such as location, unit actions, injury information, roadway conditions, evidence, or follow-up questions.
Highlights gaps before submissionPrompts follow-up questionsSupports better reviewer conversations
Training mode
Supports fake/training scenarios with coaching-style feedback for officers, deputies, cadets, FTOs, reviewers, and instructors.
Uses training or sanitized dataHelps teach narrative structureUseful for FTO and classroom review
CR-3 support
Provides Texas-focused CR-3 code guidance and contributing-factor review while reminding users to verify final decisions against policy.
Texas-focused workflowContributing-factor review supportPolicy verification remains required
Reviewer workflow
Allows reviewer notes, status tracking, quality review, and report history for controlled beta and agency pilot testing.
Reviewer notesStatus trackingReport history for pilot learning
Export path
Planned export workflow for copy-to-RMS, narrative text, PDF summaries, and structured data packages for future integration planning.
Copy-to-RMS pathPDF summary planningFuture integration readiness
Pilot focus
Feedback from the people who write, review, teach, and approve crash reports.
Version 3.0 will focus on controlled beta feedback using training/test data.
Officers and deputies
Is the draft useful? Does it save time? What fields are missing?
FTOs and supervisors
Would this help reduce report kickbacks or improve rookie training?
Crash investigators
Does the tool ask the right follow-up questions?
Instructors
Could training scenarios help teach better crash-report writing?
Agency leaders
What security, policy, integration, or procurement concerns need to be addressed?
Officer-reviewed, not AI-finalized
The officer verifies every word.
Important disclaimer: Crash Narrative AI does not replace officer judgment, supervisor review, TxDOT instructions, agency policy, or official CR-3 requirements. AI-generated output must be reviewed, verified, edited, and approved by the officer before any official use. Early beta testing should use fake, training, or sanitized data only.
Draft support onlyThe product assists with wording, organization, and review. It does not create the official report by itself.
Policy remains primaryOfficers and agencies must verify final language against TxDOT instructions and local policy.
Controlled beta postureBeta feedback should use fake, training, or sanitized scenarios until data policies are approved.
Request beta access / give feedback
Use this form structure for the live site when v3.0 is ready.