Covers all three 2026 regulatory frameworks: EU AI Act (Aug) · AU Privacy Act (Dec) · SOC 2 (continuous)
10 sections, fully editable — replace [Organisation Name] placeholders and deploy
Built on 20+ years of enterprise technology and AI strategy leadership

10 sections. Fully editable DOCX. Replace [Organisation Name] placeholders. Delivered to your inbox immediately on form submit.
The EU AI Act brings full Annex III high-risk enforcement on 2 August 2026. The Australian Privacy Act activates automated decision-making transparency obligations in December 2026. US SOC 2 audit scrutiny of AI systems requires continuous, evidence-based control demonstration throughout the year. Three frameworks. One 12-month window. Organisations that are not governance-ready before the August deadline face penalty exposure and commercial risk simultaneously.
This template is not a theoretical framework — it is an operational deployment tool. Every section is pre-structured to the relevant regulatory standard, with placeholders for your organisation's specific details. A compliance and legal team can adapt and review it in a single working session. The risk classification matrix, the Annex IV technical documentation template, and the APP 1.7 privacy policy disclosure are the three highest-priority sections for organisations approaching the 2026 deadlines.
Penalty exposure without governance documentation: EU AI Act — EUR 35 million or 7% of global annual revenue. Australian Privacy Act — AUD 50 million or 30% of adjusted Australian turnover. The cost of building governance documentation is a fraction of a percent of either penalty threshold.
AI STRATEGY LEADERS AND CAIOs Building the governance architecture from the ground up. This template provides the structural foundation — charter, classification, four-layer design — that can be deployed immediately.
LEGAL, COMPLIANCE AND RISK OFFICERS Preparing for the August 2026 EU AI Act enforcement deadline and December 2026 Australian Privacy Act obligations. The compliance mapping matrix and APP 1.7 disclosure template are the priority sections.
CTOs AND TECHNOLOGY EXECUTIVES Building the AI Centre of Excellence and establishing governance infrastructure before scaling AI deployment. The four-layer architecture template and acceptable use policy are the priority sections.
Matthew Bulat is the Founder of Expert AI Prompts and a 20+ year technology and AI strategy executive. Former CTO, Federal Government Technical Operations Manager across 20 cities and 4,000 users, and 8+ year University Lecturer in IT and engineering at CQUniversity. The governance architecture in this template is the same framework applied in the live Expert AI Prompts platform — 30 industries, 1,500+ prompts, 15 AI workflow systems.
Former CTO · Federal Government Technical Operations Manager | CQUniversity Lecturer, IT (8+ years) | Founder, Expert AI Prompts | AI Strategy Leader — inbound $300K+ USD role interest
Enterprise AI Governance Framework The full pillar page: four-layer model, Shadow AI containment, firm sovereignty, board reporting. Read the Full Framework
Enterprise AI Readiness Checklist 25 questions before you deploy anything — includes the full Governance dimension assessment. Free PDF. Download Free
Book a 30-Minute AI Strategy Session Direct session with Matthew Bulat — specific, actionable next step for your governance programme. Book Now