AI inventory generator

AI Inventory Generator

Create an AI system inventory record with owners, purpose, models, data sources, personal data, risk, and review status. The generated output is a working draft for governance review and should be validated by the accountable business, technical, legal, and compliance owners.

NameDepartmentBusiness ownerTechnical owner

DescriptionPurpose

Models usedData sourcesPersonal data processedSpecial category data processedRisk classificationDeployment status

Human oversight status

# AI Inventory Record: AI customer support triage

- system_id: sys_ai_customer_support_tria
- name: AI customer support triage
- description: Classifies inbound support messages and drafts internal recommendations.
- department: Support
- business_owner: Head of Support
- technical_owner: Automation team
- purpose: Route support requests faster while preserving human review.
- models_used: GPT-4.1, Claude
- data_sources: Support inbox, CRM
- personal_data_processed: Yes
- special_category_data_processed: Unknown
- deployment_status: Draft
- creation_date: 2026-06-01T21:29:55.042Z
- last_review_date: null
- ai_act_risk_level: null
- risk_classification: Limited Risk
- has_approval_gate: false
- human_oversight_status: Required before customer-facing response
- transparency_notice_required: false
- high_risk_documentation_required: false
- documentation_status: Partial
- dpia_status: Draft recommended
- review_due: true

Problem

AI workflows are often created faster than organizations can inventory, classify, document, monitor, audit, review, and govern them.

Regulatory relevance

GDPR and the EU AI Act both reward clear records, risk assessment, human oversight, logging, and accountable review processes.

Corelyx solution

Inside Corelyx, these draft reports become workflow-native evidence connected to schemas, approvals, execution logs, and exports.