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Project
Project Name
The name of the project being reviewed
Project Description
A brief description of what the project does and its objectives
Project Owner
The person responsible for the project
Team / Department
The team or department delivering the project
Expected Timeline
Expected delivery timeline or go-live date
Technology
System Description
Technical description of the system architecture and components
Architecture Type
E.g., microservices, monolith, serverless, event-driven
LLM / AI Provider
The AI or LLM provider being used, e.g., Microsoft Copilot, OpenAI, Anthropic, open-source
Specific Model
The specific model being used, e.g., GPT-4, Claude, Llama 3
Hosting / Deployment
Where the system is hosted, e.g., Azure, AWS, on-premise, hybrid
Key Integrations
Other systems this integrates with, e.g., CRM, ERP, internal APIs
Data & Privacy
Data Types Processed
What types of data the system processes, e.g., customer records, financial data, health data
Uses Personal Data?
Whether the system processes any personally identifiable information (PII)
Data Classification
Classification level, e.g., public, internal, confidential, restricted
Data Residency / Region
Where data is stored and processed geographically, e.g., UK, EU, US
Data Retention Policy
How long data is retained and the deletion policy
Risk & Governance
Human Oversight Mechanism
How humans review or override AI decisions in this system
Bias / Fairness Considerations
How bias is identified, measured, and mitigated
Security Measures
Security controls in place, e.g., encryption, access control, audit logging
Compliance Requirements
Regulatory or compliance requirements, e.g., GDPR, EU AI Act, SOC 2