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AIMS PlatformWorkflows & Use Cases

AI Governance Workflows

Operationalize complex AI governance requirements into clear, manageable workflows. Explore strategic use cases across industries.

7
Workflows
8
Stages
4
Industries
15+
Templates

Core Governance Workflows

Transform regulatory requirements into actionable, auditable processes. Each workflow is designed for enterprise-scale AI governance.

AI System Lifecycle Management

Track and govern AI systems from ideation to decommissioning, ensuring compliance at every stage with structured workflows and approval gates.

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Workflow Stages
1
Ideation
2
Requirements
3
Design
4
Development
5
Validation
6
Deployment
7
Operations
8
Decommissioned

EU AI Act Risk Classification

Systematically assess and classify AI systems according to EU AI Act risk levels, documenting justifications and ensuring adherence to regulatory requirements.

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Workflow Stages
1
Unacceptable Risk
2
High Risk
3
Limited Risk
4
Minimal Risk

Risk Identification & Treatment

Identify, assess, and manage AI-specific risks with a comprehensive framework, including heat maps, treatment plans, and continuous monitoring.

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Workflow Stages
1
Identify
2
Assess
3
Treat
4
Monitor

AI Impact Assessment (AIIA/FRIA)

Conduct thorough impact assessments focusing on individual and fundamental rights, stakeholder consultation, and effective mitigation planning.

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Workflow Stages
1
Scoping
2
Rights Analysis
3
Stakeholder Consultation
4
Mitigation Planning

Controls Implementation & Monitoring

Implement and continuously monitor AI governance controls aligned with ISO 42001, ISO 27001, and NIST AI RMF, ensuring operational effectiveness.

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Workflow Stages
1
Select Controls
2
Implement
3
Test
4
Monitor

Audit Management & Corrective Actions

Streamline the entire audit lifecycle, from planning and checklist execution to findings management and systematic corrective action tracking.

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Workflow Stages
1
Plan
2
Execute
3
Report
4
Follow-up

Management Review & Continual Improvement

Facilitate ISO 42001 Clause 9.3 compliant management reviews, capturing inputs, documenting outputs, and driving continual improvement initiatives.

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Workflow Stages
1
Inputs
2
Review
3
Decisions
4
Actions
Industry Applications

Tailored to Your Industry

See how leading organizations across sectors leverage AIMS for comprehensive AI governance.

Financial Services

Ensure fair and transparent AI in credit scoring, fraud detection, and algorithmic trading with robust governance and explainability.

Reduced regulatory fines
Enhanced trust in AI models
Improved risk management
Discuss your use case

Healthcare & Pharma

Manage AI ethics and patient safety in diagnostics, drug discovery, and personalized medicine, complying with health data regulations.

Faster drug approval
Ethical AI deployment
Improved patient outcomes
Discuss your use case

Manufacturing & Automotive

Govern AI in autonomous systems, predictive maintenance, and quality control, addressing safety and liability concerns.

Safer autonomous operations
Optimized production
Reduced downtime
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Public Sector & Government

Ensure responsible and unbiased AI in public services, law enforcement, and civic engagement, upholding citizen rights.

Fairer public services
Increased public trust
Transparent decision-making
Discuss your use case

Ready to Transform Your AI Governance?

Join industry leaders in operationalizing world-class AI governance with Arelis AIMS.

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