AI Governance and Regulatory Compliance Use Cases

As AI regulations like the EU AI Act take effect, organisations need governed workflows for AI inventory, risk classification, bias auditing, model monitoring, and cross-industry regulatory compliance. These use cases help compliance teams stay ahead of regulation.

Purpose-built for EU AI Act, NIS2, and cross-industry regulatory compliance.
10 Use Cases
10 Industries
9 Personas
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Use Cases

Explore 10 Governed AI Workflows

Each AI Governance and Regulatory Compliance Use Cases guide includes a decision scope, evidence requirements, controls, measurements, and a governed implementation path.

Compliance Augment

AI Inventory & Shadow AI Discovery

For CISO or AI Governance Lead, AI Inventory & Shadow AI Discovery turns evidence from GitHub, Google Drive, and SharePoint into a governed workflow for AI system inventory and shadow AI discovery. AI Inventory & Shadow AI Discovery coordinates discovery sweep, shadow ai detection, and risk pre-classification capabilities while the process owner retains authority over exceptions and consequential outputs. Success is judged against the page-specific baseline, evidence quality, and safe exception handling for AI system inventory and shadow AI discovery.

CISO or AI Governance Lead 4 agents
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Compliance Augment

AI Risk Assessment & Classification

AI Risk Assessment & Classification applies controlled agent orchestration to EU AI Act risk classification for enterprise AI systems. The workflow gives Compliance Officer or AI Risk Manager a traceable path from AI System Register, Policy management tools, and Approval workflows to risk Classification Certificate per AI system (Article 6 compliant). AI Risk Assessment & Classification automation is bounded by explicit access rules, evidence requirements, confidence thresholds, and human approval whenever an output can affect people, money, safety, or regulated records.

Compliance Officer or AI Risk Manager 4 agents
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Compliance Augment

Bias Detection & Fairness Auditing

Bias Detection & Fairness Auditing applies controlled agent orchestration to AI bias auditing and fairness assessment for high-risk systems. The workflow gives Head of Model Risk or Fairness Lead a traceable path from Data warehouses, Model training pipelines, and Enterprise databases to fairness Audit Report aligned with EU AI Act Article 10. Bias Detection & Fairness Auditing automation is bounded by explicit access rules, evidence requirements, confidence thresholds, and human approval whenever an output can affect people, money, safety, or regulated records.

Head of Model Risk or Fairness Lead 4 agents
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Compliance Augment

Data Governance Integration

For Chief Data Officer or Data Governance Lead, Data Governance Integration turns evidence from SAP Datasphere, Azure Data Lake, and PostgreSQL into a governed workflow for AI data governance, lineage, and GDPR erasure risk assessment. Data Governance Integration coordinates dataset discovery, quality profiling, and lineage mapping capabilities while the process owner retains authority over exceptions and consequential outputs. Success is judged against the page-specific baseline, evidence quality, and safe exception handling for AI data governance, lineage, and GDPR erasure risk assessment.

Chief Data Officer or Data Governance Lead 4 agents
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Compliance Augment

Model Monitoring & Drift Detection

Model Monitoring & Drift Detection applies controlled agent orchestration to EU AI Act post-market monitoring and drift detection. The workflow gives Model Owner or MLOps Lead a traceable path from Production model endpoints, Monitoring dashboards, and Notification systems to continuous Monitoring Dashboard per AI system and metric. Model Monitoring & Drift Detection automation is bounded by explicit access rules, evidence requirements, confidence thresholds, and human approval whenever an output can affect people, money, safety, or regulated records.

Model Owner or MLOps Lead 4 agents
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Compliance Augment

Vendor AI Risk Assessment

Vendor AI Risk Assessment is a governed AI workflow for Vendor Management or Procurement Lead. It coordinates vendor discovery, questionnaire delivery, and compliance scoring capabilities to support third-party AI vendor due diligence under EU AI Act Article 28, using evidence from Procurement systems, Vendor management platforms, and Contract repositories. The operating goal is to vendor AI Risk Register scored against EU AI Act Art while preserving an accountable human decision point for exceptions, consequential actions, and changes to the workflow.

Vendor Management or Procurement Lead 4 agents
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Compliance Augment

NIS2 Compliance & Reporting

NIS2 Compliance & Reporting is a governed AI workflow for NIS2 Compliance Lead. It coordinates obligation, documentation, and notification capabilities to support AI support for NIS2 compliance and incident notification, using evidence from GRC platforms, SIEM / log systems, and Ticketing / SOAR. The operating goal is to stay ahead of NIS2 obligations while preserving an accountable human decision point for exceptions, consequential actions, and changes to the workflow.

NIS2 Compliance Lead 5 agents
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Compliance Augment

Regulatory Compliance

Regulatory Compliance is a governed AI workflow for Regulatory Compliance Lead. It coordinates monitoring, documentation, and mapping capabilities to support AI regulatory monitoring and audit preparation for telecom, using evidence from GRC platforms, Document management, and OSS-BSS. The operating goal is to catch regulatory change earlier while preserving an accountable human decision point for exceptions, consequential actions, and changes to the workflow.

Regulatory Compliance Lead 5 agents
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Compliance Augment

Regulatory & Compliance Reporting

Regulatory & Compliance Reporting is a governed AI workflow for Regulatory Compliance Lead. It coordinates obligation, documentation, and notification capabilities to support AI NIS2 and sector compliance reporting for utilities, using evidence from GRC platforms, SIEM / log systems, and Document management. The operating goal is to stay ahead of NIS2 and sector obligations while preserving an accountable human decision point for exceptions, consequential actions, and changes to the workflow.

Regulatory Compliance Lead 5 agents
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Compliance Augment

Customs & Trade Compliance

Customs & Trade Compliance applies controlled agent orchestration to AI customs declaration and tariff classification support. The workflow gives Customs & Trade Compliance Lead a traceable path from Customs / brokerage systems, TMS, and ERP to draft customs declarations faster. Customs & Trade Compliance automation is bounded by explicit access rules, evidence requirements, confidence thresholds, and human approval whenever an output can affect people, money, safety, or regulated records.

Customs & Trade Compliance Lead 5 agents
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Customer Support AI
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Energy and Utilities
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