AI Objectives
What decisions the AI system supports:
search, recommendations, generation,
analytics, or process automation.
Data & Sources
Databases, documents,
external APIs, data quality
and update frequency.
Architecture
RAG pipelines, vector databases,
LLM providers, backend services
and system integrations.
Usage Scenarios
User flows, roles, permissions,
AI response validation
and fallback logic.
Security & Governance
Access control, audit logs,
data protection, compliance
and regulatory constraints.
Quality Metrics
Accuracy, latency, cost per request,
scalability targets and SLA.