Agentic AI
Governance
The mandatory governance, operational control, and assurance framework for enterprise agentic AI systems.
Scope
Full AI lifecycle — design, build, deploy, operate, retire
Applicability
All business units, subsidiaries, contractors & third parties
Status
Board-Approved · Version 1.0 · 48 Pages
Governance Operating System
Five Layers of Control
A structured operating system ensuring every agentic AI capability is governed from board-level policy down to runtime technical enforcement.
Inside the Manual
Frameworks, not just words
Visual, board-ready frameworks engineered to operationalise governance — from autonomy scoring to lifecycle workflow and delegation policy.
Core Principles
Mandatory Governance Standards
Five non-negotiable principles that must be enforced across every agentic AI deployment within the enterprise.
Explicit Delegation
No agentic AI deployed without explicitly defined decision authority, tool access, and action boundaries.
Attributable Accountability
Every autonomous action legally and operationally attributable to a named accountable owner.
Runtime Control
Controllable at runtime through identity, permissions, monitoring, and immediate deactivation mechanisms.
Evidence-First Governance
Control effectiveness demonstrated through auditable evidence — absence of evidence is nonconformity.
Outcome Governance
Leadership governs intended outcomes and risk tolerance; implementation must meet the same control standards.
AIMS Objectives
Measurable KPIs/KRIs covering safety, security, reliability, human oversight, incident response, and compliance — reviewed quarterly.
Get Started
Enterprise-Ready Governance
Aligned with NIST AI Standards. Let us walk you through the framework and tailor it to your organisation's specific needs.