SHIELD AI KNOWLEDGE CENTER
AI-Assisted Police ReportPlatform Comparison
Explore how leading platforms obtain source material, generate draft narratives, support officer editing, preserve audit information, and connect with agency systems.
How AI-Assisted Report Platforms Operate
This section explains the operational sequence used by the platforms. It describes source material, automated processing, human review, and system transfer without assigning a ranking or value judgment.
Source Material
Officer notes, dictation, BWC audio, CAD/RMS data, radio, 911 recordings, uploaded files, or citizen interview responses.
Data Processing
Transcription, speaker identification, fact extraction, incident association, chronology, and structured-field preparation.
Draft Generation
Narrative text, structured report fields, summaries, timelines, forms, or other documentation may be produced.
Human Review
An officer, records employee, or supervisor reviews the output, corrects errors, adds information, and approves the result.
Submission or Transfer
The final report may remain in a native RMS, transfer through an integration, export as a document, or enter a review queue.
Source-Traceability Illustration
This demonstration shows the types of provenance information that may be associated with a sentence. It is illustrative only; source-traceability functions vary by product and configuration.
The officer contacted the driver at the vehicle. The driver stated that he had consumed two beers before operating the vehicle. The officer then continued the investigation.
Select the highlighted sentence to display possible source classifications.
Possible Source Record
Platform Overview
Filter the platforms by source material or operational characteristic. Expand any card to review the drafting, editing, integration, audit, and published-metric information.
Side-by-Side Comparison
Select up to three platforms. The table displays the same categories for each selected product without assigning a ranking or overall grade.
Objective Comparison Metrics
These measurable categories can be used to structure a pilot or compare information supplied by vendors. Their inclusion does not indicate that any one metric should control an agency decision.
End-to-End Completion Time
Time from incident clearance through supervisor acceptance, including generation, officer review, corrections, and resubmission.
Active Officer Editing Time
Time actively spent reviewing and modifying the generated draft before submission.
Edit-Distance Ratio
Percentage of generated text added, deleted, or replaced before the report is accepted.
Unsupported-Statement Rate
Generated factual assertions that cannot be traced to identified source material.
Source-Attribution Accuracy
Accuracy of source recording, document, timestamp, speaker, and evidentiary attribution.
Omission Rate
Percentage of predetermined material facts or required report elements absent from the initial draft.
Attribution-Error Rate
Frequency with which statements or actions are assigned to the wrong participant.
Temporal-Sequence Accuracy
Accuracy of the order, timing, and separation of events reflected in the draft narrative.
Supervisor Return Rate
Percentage of reports returned for correction and the average number of revision cycles.
Integration Burden
Manual transfers, duplicate entries, upload delays, failed matches, and other workflow steps.
System Availability
Uptime, failed-generation rate, processing delays, and the frequency of unavailable source material.
Cost per Accepted Report
Licensing, implementation, integration, storage, training, and support divided by accepted reports.
Criteria-Based Comparison
Users may assign relative importance to selected characteristics. The output shows alignment with the user-entered criteria and does not identify a winner, preferred platform, or procurement outcome.
Choose a relative weight from 0 to 5 for each characteristic. A zero excludes the characteristic. The calculation uses descriptive platform attributes included in this page and is intended only to organize the user’s selected criteria.
The displayed alignment is not a product rating and should not be treated as a substitute for agency testing, legal review, security review, contracting analysis, or verification of vendor claims.
Descriptive Criteria Matrix
The matrix uses neutral status labels rather than a product grade. “Directly aligned” means the publicly described workflow expressly addresses the selected characteristic. “Partially aligned” means the characteristic appears available in a limited or configuration-dependent form. “Requires confirmation” means public information is insufficient. “Not applicable” identifies a different product category or workflow.
Platform Information Worksheet
An organizational tool for collecting comparable information from vendors. The worksheet does not endorse, rank, recommend, or establish which criteria should control an agency’s decision.
Purpose: Record vendor responses, supporting documents, demonstrations, pilot observations, and contract language in a consistent format.
Product Functions
- Document types generated
- Supported incident categories
- Restricted or excluded uses
- Language and accessibility functions
Source Material
- Required and optional inputs
- BWC, CAD, RMS, radio, 911, documents
- Speaker and timestamp attribution
- Source-selection controls
Drafting and Editing
- Initial-draft workflow
- Officer editing interface
- Regeneration and correction process
- Required officer attestation
Supervisor Workflow
- Approval and return process
- Visibility into drafts and edits
- Quality-control tools
- Exception handling
Audit and Records
- Original draft retention
- Prompt and version history
- Source citations and timestamps
- Exportable audit records
Integration
- Supported CAD, RMS, BWC, and DEMS systems
- API availability
- Manual transfer steps
- Implementation dependencies
Security and Data
- Hosting and encryption
- Data ownership and retention
- Model-training use of agency data
- Access controls and incident response
Performance Information
- Published time-savings claims
- Sample size and methodology
- Error and omission measurements
- Independent validation, if any
Implementation
- Training requirements
- Pilot length and scope
- Administrative configuration
- Support and update process
Contract Information
- Pricing structure
- Term and termination
- Indemnity and insurance
- Data return and deletion
Information to Confirm with Each Vendor
These questions are framed to obtain comparable factual information. They do not presume that any particular response is preferable or required.
Source Material and Generation
- What source types can the platform use?
- Which source is treated as primary?
- Can each generated statement be linked to a source?
- How are conflicting sources handled?
- What model or models generate the output?
Editing and Human Review
- What officer review is required?
- Can sections be regenerated independently?
- Are additions, deletions, and substitutions recorded?
- What certification or attestation is required?
- Can supervisors view the initial draft?
Audit, Discovery, and Records
- Is the initial AI draft retained?
- Are prompts and model versions retained?
- Can source citations and timestamps be exported?
- What records are available for discovery or public-records requests?
- What retention controls are configurable?
Data, Security, and Contracting
- Is agency data used for model training?
- Where is data hosted and encrypted?
- Can the model change without agency approval?
- What data-return and deletion procedures apply?
- What integrations and implementation dependencies exist?
Terminology
These definitions distinguish technologies that are sometimes grouped together under the broad label of artificial intelligence.
Generative AI
A model that produces new text or other output based on instructions and source information.
Transcription
Conversion of spoken audio into written text.
Summarization
Condensation of longer source material into a shorter account.
Narrative Generation
Production of report prose from notes, transcripts, structured data, or other sources.
Structured-Data Extraction
Identification of names, dates, locations, offenses, property, or other fields from unstructured material.
Source Provenance
Information identifying where a factual statement or data element originated.
Audit Log
A record of actions, versions, edits, users, dates, or system events.
Prompt
An instruction or input supplied to a model to guide the resulting output.
Model Version
The specific release or configuration of the AI model used to process information.
Human-in-the-Loop
A workflow requiring a person to review, correct, or approve automated output.
RMS
Records management system used to create, store, review, and retrieve agency records.
DEMS
Digital evidence management system used to store and manage recordings, files, and related evidence.
Methodology, Evidence Labels, and Update History
This section explains how information is categorized and how future changes can be documented.
Neutrality
The project describes platform functions and measurable characteristics. It does not identify a preferred vendor, award a grade, or determine whether a platform is appropriate for a particular agency.
Evidence Labels
Vendor-published Agency testimonial Contract or procurement record Independent study Not publicly identified
Each performance claim or capability should be assigned the most accurate available label. A label describes the source of the information; it does not indicate that the claim has been independently validated.
Information Treatment
- Separate product functions from vendor performance claims.
- Identify configuration-dependent features.
- Identify when information is not publicly available.
- Distinguish officer-report-writing tools from citizen-reporting tools.
- Use the same descriptive categories for each platform.
Update History
| Date | Change | Basis |
|---|---|---|
| Initial release | Six-platform comparison, workflow descriptions, objective metrics, criteria-based comparison, and information worksheet. | Publicly available and vendor-supplied information. |
| Current expansion | Added operational workflows, source-traceability illustration, evidence labels, terminology, confirmation questions, and methodology. | Project design update. |