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by aatrey882 • Uncategorized
A reference architecture for enforcing AI governance and control when integrating AI intent with ServiceNow actions using the Model Context Protocol (MCP).
Safely translate AI intent into controlled ServiceNow actions.
Centralized policy enforcement and auditability in AI-to-enterprise integrations.
A reference architecture to implement governance and execution control using MCP.
This repository provides a personal, non-commercial technical exploration of governance patterns for AI systems interacting with enterprise platforms like ServiceNow via MCP. It focuses on introducing policy enforcement, auditability, and execution control between AI intent and downstream system actions through a Control Plane / Data Plane architecture. The solution enables explicit, reviewable, and bounded AI-initiated actions without embedding governance logic into every integration.