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