AI for Internal Affairs
Assist the investigation.Never replace the investigator.
A practical legal, operational, and governance framework for using artificial intelligence to organize evidence, build timelines, prepare interviews, and strengthen administrative investigations while preserving confidentiality, procedural fairness, and independent human judgment.
Reviewed and updated August 16, 2026
AI should not determine credibility, infer deception, decide intent, select findings, or recommend discipline.
Assist, Do Not Decide
AI can organize and compare information. Investigators retain responsibility for judgment and findings.
Verify Every Output
No summary, quotation, timeline entry, or policy reference should be accepted without source review.
Protect the Case File
Use only approved systems with appropriate access, retention, and confidentiality controls.
Document the Process
Record where AI was used, what was reviewed, what was corrected, and who approved the final work.
Visual Investigation Workflow
Follow the investigation from complaint through appeal
Select any stage to see appropriate AI assistance, the investigator’s nondelegable responsibilities, and required controls.
Interactive IA Case Simulator
See what responsible AI assistance looks like
Select a complaint type and the available evidence. The simulator generates investigative support—not findings.
Build the training scenario
AI-assisted case workspace
Select the case information and run the simulator.
IA Prompt Library
Prompts designed to support—not prejudge—the investigation
Search, filter, and copy prompts for approved agency systems. Do not enter compelled statements, personnel records, criminal-justice information, privileged material, victim or witness information, or other protected case content unless the agency has specifically approved the system for that data and the required access, retention, disclosure, and vendor controls are in place.
Red Flags
Never delegate these decisions to AI
These functions create substantial reliability, fairness, labor, evidentiary, and governance risk.
Do not ask AI to decide who is truthful.
Do not infer motive or mental state from language or behavior.
Do not allow AI to select sustained or not sustained.
Do not ask AI to recommend a penalty.
Do not upload protected case material to public tools.
Interactive Evidence Map
Investigative conclusions should be traceable to source evidence
Select an evidence node to see how it can corroborate, contradict, contextualise, or identify gaps in the case.
& ISSUES
AI Governance Scorecard
Measure whether the agency is ready for operational use
Check only controls the agency can presently demonstrate through written policy, assigned responsibility, training, contracts, or documented practice.
Foundational Case Law & Rights Library
Administrative investigations operate within an existing legal framework
This library identifies recurring doctrines for training and issue spotting. Agencies should confirm jurisdiction-specific law, labor agreements, statutes, and procedural protections.
Supervisor Review Tool
Check completeness without allowing AI to grade the investigation
This tool identifies whether expected components are present. It does not determine whether the evidence or findings are correct.
Downloadable Working Tools
Adaptable language for agency implementation
Open, edit, copy, and print the tools. Local legal and labor review remains necessary.
AI Use Review Checklist
Purpose, data, vendor, verification, audit, disclosure, and approval controls.
Investigator Verification Log
Document prompts, sources, inaccuracies, corrections, and final human determinations.
Prohibited Uses Provision
Sample policy language for credibility, findings, discipline, and confidential information.
Connected ShieldPST.ai Resources
Continue from administrative investigation into governance, evidence, and report reliability
Use these resources to connect Internal Affairs workflows with agency-wide AI controls, digital-evidence preservation, report verification, and criminal-investigation safeguards.
AI Governance & Policy
Establish approval, human-review, vendor, training, audit, records, and change-control requirements for agency AI systems.
Explore AI Governance →Digital Evidence & Discovery Center
Address prompts or equivalent system inputs, generated outputs, source evidence, metadata, preservation, vendor records, disclosure, and courtroom readiness.
Open the Evidence Center →AI-Assisted Report Reliability Lab
Practice source selection, sentence-level verification, officer attestation, and substantive supervisory review.
Open the Reliability Lab →AI Report Prompting & Review Lab
Practice prompt construction, source control, verification, revision, and review of AI-assisted investigative writing.
Open the Prompting Lab →AI-Assisted Police Report Platform Comparison
Compare source handling, review, retention, audit, disclosure, integration, and governance features without vendor rankings.
Compare Platforms →AI for Criminal Investigations
Apply related validation, documentation, evidentiary, and human-review safeguards to criminal investigative workflows.
Explore Criminal Investigations →Training · Policy · Implementation
Prepare the Internal Affairs unit before AI becomes routine.
Shield Public Safety Training helps agencies define approved uses, establish defensible controls, train investigators and supervisors, and preserve fair administrative processes.
Reviewed August 16, 2026. This version standardizes U.S. terminology, strengthens protected-data warnings, connects the page to the broader ShieldPST.ai AI-governance and evidence architecture, and relies on the global site footer.