AURA 3.0 Executive Summary
Your board can point to an AI policy. Can it point to proof?
Regulators, auditors, customers and directors are converging on the same demand: evidence that your AI is governed in practice, not just on paper. Under CPS 230 that accountability sits with you.
This free executive summary gives CEOs, CIOs, CTOs and COOs the shape of the answer in six pages:
- The executive test: could you produce the approval record, risk classification and oversight evidence for any AI system within 24 hours?
- The six operational layers of AURA, the operating and evidence layer that sits beneath NIST AI RMF, ISO 42001 and the Australian standards
- The agentic AI gap: blast radius, reversibility, inter-agent trust, prompt injection and oversight at machine speed. The risks no current framework covers operationally
- The L0 to L5 maturity model and where most organisations actually sit
- The first 90 days, in outline
This summary gives you the argument. It deliberately does not give you the machinery.
The machinery is the full AURA 3.0 bundle: the complete AI Op Model Guide with six layers, 14 epics, 79 implementation stories and 45 appendices, plus the full template library, role guides, RACI matrices, the CAB Agentic AI Risk Addendum, the 90-Day Minimum Viable Governance plan, the 12-Month Maturity Roadmap and three implementation patterns (SAFe, Team-Agile, Governed/CAB).
Get the full bundle here: Secure link to my ebook store at payhip.com
Policy is not proof. This is proof.