Berly helps teams organize AI system information, supporting evidence, human-in-the-loop review notes, audit history, and exportable documentation packages across selected AI governance frameworks.
AI compliance documentation is the structured record around an AI system. It helps explain what the system does, who uses it, what data it relies on, where human review happens, what evidence supports the record, and what documentation package can be reviewed later.
A practical workflow usually means adding and classifying an AI system, identifying supported rules that may apply, building the system record, documenting requirements, attaching evidence or recording where authoritative evidence lives in an existing repository, reviewing Evidence Readiness and Record Readiness, preserving Reviewer Decisions and history, and exporting an AI System Review Package.
Berly is not legal advice. It helps organize documentation for review by the appropriate human, legal, or compliance professionals.
Describe what the AI system is intended to do, who uses it, and what workflow or decision it supports.
Organize what data the system relies on, where that data comes from, and what supporting information is available.
Document where human review, approval, escalation, or override happens in the workflow.
Attach supporting materials to documentation claims or reference where authoritative evidence lives in an existing repository, then identify gaps that need human review.
Keep a record of review activity, changes, notes, decisions, and approval history around the documentation package.
Prepare a structured PDF, DOCX, or TXT package that can be reviewed internally or shared with legal, compliance, privacy, or advisory professionals.
AI governance work often becomes fragmented because the relevant information lives in many places: policy files, spreadsheets, vendor documents, model notes, meeting notes, emails, screenshots, and internal reviews. The challenge is not only writing a document. The challenge is organizing the facts, evidence, review notes, and record of what changed.
Plain-English prompts help users add and classify an AI system, document supported requirements, and review whether the system record is ready for human review.
Generate draft suggestions from project context, then approve, edit, or reject each suggestion before it is saved.
Link documents to claims, record external evidence locations, and flag evidence gaps for human review.
Organize one AI system record across selected frameworks, including EU AI Act Article 50 transparency records, Colorado Automated Decision-Making Technology Act / SB 26-189, Illinois AI employment laws, NYC Local Law 144, and CPRA ADMT.
Export a structured PDF, DOCX, or TXT package with supporting evidence, Reviewer Decisions, review notes, and change history.
Record direct AI interaction disclosures, synthetic-content marking and detectability implementation, emotion recognition or biometric categorisation notices, deepfake disclosures, public-interest generated or manipulated text disclosures, and supporting evidence. Berly records implementation and evidence; it does not technically validate machine-readable marking or detectability.
Frameworks use different language, but many documentation questions overlap. Berly helps organize those records in one workspace.
High-level informational screen for selected AI compliance frameworks.
Open classifierPlain-English resource showing how common documentation sections map across selected frameworks.
View crosswalkReference page for selected AI governance dates and documentation milestones.
View deadlinesNo. Berly is not legal advice. It helps organize AI system records, evidence, review notes, and documentation packages for review by the appropriate professionals.
No. Berly does not complete risk assessments or decide system risk. It helps organize risk-related notes, supporting evidence, and documentation fields that may be useful during customer, legal, privacy, compliance, audit, or regulatory review.
It can be useful for compliance consultants, legal and privacy teams, risk teams, AI product teams, operations teams, HR tech teams, and organizations preparing AI system records for review.
A Word template provides blank fields. Berly provides structured documentation fields, plain-English guidance, AI-assisted drafting with human approval, evidence attachment and external evidence reference support, Reviewer Decisions, audit trail, cross-framework organization, and PDF/DOCX/TXT AI System Review Package export.
Use Berly to organize system records, evidence, review notes, change history, and exportable documentation packages.
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