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- ## Overview
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- AISA (Agentic AI Systems Architecture) is a system-level reference architecture
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- for the design, deployment, evaluation, and governance of agentic AI systems.
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- It frames agentic AI as an end-to-end system problem, addressing the
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- architectural challenges introduced by autonomous, tool-using,
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- and long-horizon AI behavior.
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- ---
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- ## Motivation
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- As large language models evolve into persistent and goal-directed agents,
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- key challenges increasingly arise at the system level, including:
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- - Fragmented agent architectures
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- - Brittle orchestration and tool usage
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- - Limited observability and evaluation
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- - Unclear governance and accountability
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- AISA introduces a unified architectural model that integrates reasoning,
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- infrastructure, evaluation, deployment, and governance.
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- ---
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- ## Architectural Model
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- AISA decomposes agentic AI systems into seven high-level layers:
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- 1. **LLM Foundation** β€” language understanding and reasoning
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- 2. **Tool & Environment** β€” controlled external actions
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- 3. **Cognitive Agent** β€” planning, goals, and memory
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- 4. **Agentic Infrastructure** β€” orchestration and coordination
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- 5. **Evaluation & Feedback** β€” continuous behavioral assurance
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- 6. **Development & Deployment** β€” lifecycle management
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- 7. **Governance, Ethics & Policy** β€” system-wide constraints
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- This separation of concerns enables predictable behavior,
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- continuous evaluation, and enforceable governance.
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- ---
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- ## System Perspective
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- AISA treats agentic AI systems as composed, multi-layered systems
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- whose behavior emerges from interactions across reasoning,
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- execution, infrastructure, and policy layers.
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- This perspective supports system-level analysis and comparison
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- across different agentic designs.
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- ---
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- ## Contributions
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- This work:
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- - Proposes a unified layered reference architecture for agentic AI systems
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- - Clarifies responsibilities and boundaries across system components
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- - Elevates evaluation, operations, and governance to first-class concerns
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- - Provides a shared vocabulary for research and practice
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- ---
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- ## Intended Use
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- AISA is intended for:
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- - Research on agentic and autonomous AI systems
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- - Design of production-grade agent architectures
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- - Evaluation and comparison of agentic behaviors
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- - Governance and risk analysis of deployed AI systems
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- The framework applies to both single-agent and multi-agent systems.
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  <h1 align="center">AISA β€” Agentic AI Systems Architecture</h1>
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  <p align="center"><em>Coming soon</em></p>
 
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  <h1 align="center">AISA β€” Agentic AI Systems Architecture</h1>
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  <p align="center"><em>Coming soon</em></p>