North Carolina AI Roadmap Alignment

For a fuller treatment of ethical use in polygraph practice, see our Responsible Use of AI in Polygraph Report Writing article. The same human-in-the-loop principles apply across all law enforcement documentation workflows on the platform.

Built for Law Enforcement Documentation

PolygraphReports began as a purpose-built platform for polygraph examiners. We have since released dedicated templates for our law enforcement partners covering the investigative documentation workflows agencies use every day:

Across every template, the same design principle applies: the examiner or investigator remains the author, decision-maker, and accountable professional. The software assists with transcription, organization, and drafting — not with the substantive investigative or analytical work.

Roadmap Principles at a Glance

The Roadmap's guiding principles emphasize that AI should strengthen public trust, not erode it. The table below maps each relevant principle to how PolygraphReports is designed and operated across polygraph and general law enforcement use cases.

1. Human Oversight

The Roadmap's workforce empowerment principle states that technology should augment rather than replace the workforce. Goal 5 further requires human oversight for AI used in government decisions — including the explicit guardrail that AI systems must not make final benefits determinations.

PolygraphReports applies the same logic across every workflow. The examiner or investigator remains the author, decision-maker, and accountable professional at every stage.

What professionals always retain

• Conducting examinations, interviews, or investigative contacts
• Interpreting evidence — charts, statements, recordings, and case context
• Forming professional opinions and reaching investigative conclusions
• Reviewing, editing, and approving every word of the final report

Required sequence of use

1. The examiner or investigator conducts the examination, interview, or review
2. The professional evaluates the evidence and reaches conclusions
3. Drafting assistance is used only to document and organize work already performed
4. The professional reviews and approves the final report as their own work product

AI never precedes or influences professional analysis. Whether documenting a polygraph examination, a suspect interview, or a jail call review, this sequence preserves independent judgment — a requirement that aligns directly with the Roadmap's human-centered governance expectations and with established law enforcement professional standards.

2. Privacy & Security

The Roadmap's privacy and governance principle calls for strong protections of personal information. Goal 7 — Strengthen Cybersecurity — emphasizes a whole-of-state approach, software lineage tracking, and privacy-by-design practices for AI deployed in government contexts.

Law enforcement documentation — polygraph reports, interview recordings, jail call audio, witness statements — contains sensitive investigative, personnel, and subject information. Using consumer-grade AI platforms for this work creates avoidable risk, including potential data retention, model training on submissions, and uncontrolled third-party access.

Professional systems for sensitive law enforcement documentation require:

For agency leaders, tool selection for investigative documentation is not merely a technical decision — it is a governance and confidentiality obligation consistent with the Roadmap's Protect pillar.

3. Transparency

Goal 5 of the Roadmap — Improve Transparency and Accountability — calls for residents and stakeholders to understand when AI is used, how decisions are made, and how to raise concerns. North Carolina already requires agencies to maintain AI inventories and disclose high-risk use cases.

PolygraphReports is designed to be transparent by nature: its role is narrow, describable, and defensible in plain language across every law enforcement workflow.

What agencies can document

• Purpose: AI-assisted transcription, drafting, and organization of law enforcement documentation — including polygraph reports, suspect and witness interview reports, and jail call analysis reports
• Risk level: Low — the system does not make investigative, personnel, or legal determinations
• Human role: Professional authorship and final approval on every report
• Disclosure: Appropriate for inclusion in agency AI inventories, vendor disclosures, and subject notifications where required

Courts and review boards examine professional conduct and credibility — not software brands. When AI use is described accurately as a documentation aid, transparency supports rather than undermines defensibility.

4. Auditability

The Roadmap emphasizes traceability, accountability mechanisms, and ongoing monitoring of AI systems. Goal 7 recommends software bill of materials practices that map model, data, and code lineage to support remediation. Goal 8 requires tiered governance with risk mitigation plans and recurring security evaluation.

Agency AI Liaisons and oversight committees need tools they can inventory, evaluate, and defend — not opaque black boxes that produce conclusions professionals cannot explain.

Audit-friendly design characteristics

• Defined scope: Transcription, report drafting, and organization only — no chart interpretation, credibility scoring, or investigative conclusions
• Human-in-the-loop: Every output is reviewed and editable before release
• Clear accountability chain: The examiner or investigator, not the software, owns the report
• Inventory-ready: Purpose, use case, and risk classification are straightforward for agency AI registers across polygraph, investigative, and corrections-adjacent workflows
• Vendor engagement: PolygraphReports works with agencies on security questionnaires, procurement documentation, and oversight reviews

A system that cannot be explained cannot be governed. PolygraphReports is built to support the Roadmap's accountability expectations — not circumvent them.

5. Law-Enforcement Decision Boundaries

The Roadmap's fairness and civil liberties principle requires AI systems to respect personal autonomy and avoid errors that impact livelihoods and opportunities. For law enforcement agencies, the boundary is clear across every unit: software must not substitute for professional judgment in matters that affect careers, investigations, liberty interests, or prosecutorial outcomes.

What it does

After the professional has conducted the examination, interview, or call review and reached their conclusions, PolygraphReports helps translate that work into clear, consistent, professional report language. It reduces fatigue-related drafting errors and improves clarity — without altering what the professional decided.

For polygraph examiners, this means documenting chart interpretation and examiner opinions already formed. For detectives and investigators, suspect and witness interview templates organize recorded statements into structured reports the investigator reviews and approves. For jail call analysis, the platform structures recorded content to support investigator review — the investigator determines what is significant, not the software.

This boundary aligns with the Roadmap's Protect goals on responsible government AI usage and with the civil liberties protections embedded in the Council's principles. It also reflects the position articulated in our responsible AI use guidance for polygraphers: AI assists with how conclusions are written, not what conclusions are reached.

6. Procurement Readiness

Goal 8 — Ensure Responsible Government AI Usage — directs North Carolina agencies to meet standardized safety, privacy, security, reliability, fairness, and explainability requirements before deploying AI tools. The Roadmap calls for tiered risk governance, agency AI Liaisons, minimum trustworthy AI standards, and ongoing monitoring.

PolygraphReports is positioned to support agency procurement and oversight workflows — particularly for departments evaluating low-risk, human-in-the-loop documentation tools rather than high-risk automated decision systems.

Procurement support includes

North Carolina agencies are building the governance infrastructure to evaluate AI responsibly. PolygraphReports was designed for law enforcement professionals who operate under that scrutiny every day — and for leaders who need tools that fit inside it, not around it.

Summary for Law Enforcement Leaders

The Statewide AI Strategic Roadmap sets a high bar: innovation and public trust should not be in tension. For law enforcement agencies, that means adopting AI that makes examiners and investigators more effective without making the technology the decision-maker.

PolygraphReports aligns with the Roadmap's core commitments — workforce augmentation, privacy and security, transparency, accountability, and responsible government AI usage — while respecting the non-negotiable boundary that investigative conclusions belong to the professional, not the software.

• Augments professionals — does not replace staff or automate investigative judgment
• Serves multiple workflows — polygraph reports, suspect and witness interviews, and jail call analysis
• Protects sensitive data — purpose-built for investigative documentation, not consumer AI
• Supports transparency — easy to describe, disclose, and defend
• Respects decision boundaries — no guilt, deception, credibility, or outcome determinations
• Ready for agency evaluation — inventory, procurement, and oversight documentation