🔍 AISA Compliance Checker
Evaluate your agentic AI project against the AISA reference architecture.
Upload your project as a ZIP file and get an instant compliance report across 7 architectural layers and 4 cross-layer contracts.
| Layer | What's Checked |
|---|---|
| L1: LLM Foundation | Model adapters, prompts, context management, safety |
| L2: Tool & Environment | Tool schemas, sandboxing, permissions, MCP |
| L3: Cognitive Agent | Planning, memory, goals, reflection |
| L4: Infrastructure | Orchestration, state, multi-agent, tracing |
| L5: Evaluation | Tests, monitoring, regression, human eval |
| L6: Dev & Deployment | Versioning, CI/CD, A/B testing, rollout |
| L7: Governance | Policy-as-code, privacy, fairness, oversight |
CLI version: pip install aisa-checker
Upload & Configure
LLM Provider
How to prepare your ZIP:
- ZIP your project's root directory
- Include all Python files, configs, CI/CD files
- Exclude
node_modules,.venv,.git(they're auto-skipped)
Results
Upload a project and click 'Run AISA Check' to see results.
Results will appear here after analysis.
Full markdown report will appear here.
AISA (Agentic AI Systems Architecture) — A unified layered reference architecture for designing, deploying, evaluating, and governing agentic AI systems.
Nacar, O., Alquffari, D., & Alkhalifa, M. (2026). Tuwaiq Academy — TRDC.