# AI Centre of Enablement & AI Seatbelt — Intelligen

## The Problem
Organisations are deploying AI faster than they are governing it. The result is autonomous systems making consequential decisions without adequate oversight, auditability, or control.

In Australia, ASIC has flagged agentic AI as a critical emerging consumer risk. The National AI Plan and proposed mandatory guardrails signal that voluntary compliance will not remain the default. The EU AI Act, now in force, carries penalties of up to 35 million euros or 7% of global annual turnover for high-risk AI systems.

## AI Centre of Excellence (AI CoE)
Intelligen helps organisations stand up internal AI Centres of Excellence. We design the operating model, governance structure, risk classification framework, and toolkits required to evaluate, adopt, and scale AI responsibly across the enterprise.

### What the AI CoE Covers
- AI governance operating model and ownership structure
- Risk classification and tiering of AI use cases
- Policy and standards development
- Vendor and model evaluation frameworks
- AI ethics principles and responsible AI guidelines
- Capability uplift and AI literacy programs

## AI Seatbelt
The AI Seatbelt is Intelligen's model and tooling agnostic reference architecture for enterprise AI safety. It is designed for organisations that are deploying or scaling AI agents and need the governance infrastructure to do so safely.

### What the AI Seatbelt Covers

**Immutable Decision Logging**
Every action taken by an AI agent is recorded in a cryptographically sealed, tamper-evident audit trail. This is the baseline requirement for regulatory defensibility.

**Real-Time Behavioural Monitoring with Intervention**
Runtime governance requires the ability to observe agent behaviour in real time and to stop it. Circuit-breakers hold actions for human review rather than allowing autonomous execution.

**Sanctioned Action Boundaries**
Agents operate within technically enforced action perimeters — not just instructed boundaries, but enforced ones. The difference between telling an agent what it shouldn't do and making certain actions impossible.

**Continuous Drift Detection**
AI systems are monitored for performance degradation, distributional shift, and output anomalies on an ongoing basis — not quarterly, continuously.

**Human Escalation Pathways**
Documented, operational escalation pathways from autonomous AI action to human review that are actually tested and used.

The AI Seatbelt works regardless of existing vendor and model choices. It addresses the full threat landscape: traditional cybersecurity, AI model governance, and enterprise-wide agent operations in a single coherent framework.