TechRxiv paper proposes K9-AIF modular governance-first framework for agentic AI

[TechRxiv] A TechRxiv preprint by Ravi Natarajan presents a pattern-based architectural approach for governed agentic systems, called K9-AIF. According to the paper, agentic systems increasingly combine multiple cooperating agents, heterogeneous models and external tools, creating new challenges in governance, traceability and architectural extensibility at enterprise scale, while existing orchestration frameworks often emphasize task coordination and offer limited support for consistent policy enforcement, observability and long-term maintainability. The approach is grounded in a clear separation between Architecture Building Blocks (ABBs) and Solution Building Blocks (SBBs), and uses configuration-driven factories, runtime agent loaders and layered architectural abstractions to structure orchestration, inference integration, persistence and monitoring in a modular, governance-first manner. Diagrams illustrate how these elements compose into a cohesive architecture that supports extensibility while preserving stable architectural contracts. The work is a preprint and has not been peer reviewed.