AI governance and enterprise AI advisory
AI Governance for Boards and Executive Teams
Move from shadow AI and fragmented pilots to board-ready oversight, measurable value, and defensible governance.
The problem
Most organisations have more AI activity than AI accountability.
Teams are using AI faster than governance can see it. Pilots are running, vendors are embedding AI into platforms, and staff are experimenting with personal tools. But many boards and executive teams still cannot answer where AI is materially used, who owns each use case, what risks exist, and what business outcomes AI has actually delivered.
That gap is where shadow AI becomes enterprise risk.
Offer ladder
A practical pathway from first visibility to an enterprise AI operating layer.
Free resource
Board AI Oversight Starter Pack
Checklist, AI risk/use heatmap and quarterly governance reporting template.
Entry offer
Board AI Readiness Diagnostic
Two-week assessment across 10 work days and 75 hours, with scorecard, risk/control gaps, board briefing and 90-day roadmap. AUD $15,000 plus flights, travel costs and per diem reimbursement.
Workshop
AI-First Strategy Workshop
Map tasks, prioritise AI use cases and design the operating model changes needed for value.
Assessment
Shadow AI to Enterprise AI
Find hidden AI usage, redesign workflows and create guardrails that teams can actually use.
Advisory
Board & Governance Advisory
Board briefings, director questions, governance framework and oversight calendar.
Managed layer
Build a Single Enterprise Brain
One governed AI interface for executives and teams, connected to specialist workflows, organisational memory and board-ready reporting.
View Enterprise BrainOngoing
Quarterly AI Advisory
Keep governance packs, risk updates and AI value reporting current as usage evolves.
Founder credibility
Led by an enterprise technology leader with current AI depth.
- Former Head of IT at Liebherr Australia, leading a 30+ person IT organisation across ANZ.
- Member of the Australian Institute of Company Directors.
- IT consultancy experience with Microsoft and HP.
- Acting Business Division Head for E-Government and Program Director in ST Engineering (Info-Software System).
- Led a 30+ person IT organisation across ANZ.
- Master's in Artificial Intelligence and Machine Learning, University of Adelaide.
- Experience across mining, finance, public sector, telecom, international development, manufacturing, logistics and regulated environments.
- Practical AI/ML, governance, cyber, ERP, cloud and transformation experience.
Next step
Strengthen AI oversight before shadow AI becomes unmanaged enterprise risk.
Start with the Board AI Oversight Starter Pack or book the fixed-scope readiness diagnostic.