[Canberra] Executive AI Playbook: AI Governance & AI Adoption Workshop
A strategic, risk-aware framework for leaders driving enterprise AI adoption with confidence.
The session places strong emphasis on AI governance, accountability, ethical use, and alignment with Australian regulatory and policy frameworks—supporting responsible adoption across sensitive and high-impact environments.
Local relevance: Government agencies, public sector leaders, policy bodies, and regulated enterprises.
Early Bird is 30% off the regular price and ends 15 days before the event date.
Bird
- Regular: A$399
- Start time: 8:00 AM (AEDT)
- Format: In-person
- Duration: 2.5 hours
Closes in :
Who this is for
C-level executives, VPs, Directors, Heads of Data/AI, Heads of Technology, Heads of Operations.
Risk leaders, Compliance leaders, Governance leaders, Audit and control owners.
Technical leaders responsible for implementation, MLOps/LLMOps, and platform risk.
Finance leaders accountable for investment discipline and value realisation.
Why this summit now
In many enterprises, AI adoption is moving faster than governance maturity, creating friction between delivery teams and risk functions, and leaving leaders without consistent evidence when boards ask, “What controls exist—and how do we know they work?”
This executive breakfast workshop aligns leadership, technical, and GRC stakeholders around a practical operating model grounded in Vendor-neutral standards., so adoption accelerates without creating unmanaged exposure—and helps Keep Australians safe.
Agenda
what “responsible AI” must look like in operating reality (not slogans)
decision rights, accountabilities, and escalation paths that boards recognise
what to measure, what to document, and how to show defensibility across the AI lifecycle
executive breakfast discussions (guided prompts)
vendor risk, model onboarding, and “safe speed” operating rhythm across teams
priorities, owners, and the minimum viable governance pack for your organisation
Submit Your Inquiry
Know more about this workshop
Learning outcomes
Deliverables
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AI Governance Operating Model blueprint (roles, forums, decision gates).
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Board-ready “AI Oversight Pack” outline (what to report, how to evidence).
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Controls-to-lifecycle mapping checklist (what must exist at each stage).
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Vendor and third-party AI due diligence question set (procurement-ready).
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Evidence register starter template (what to store, where, and why).
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30-day implementation plan template (owners, milestones, measurable outcomes).
Host
Sandeep Bhalekar
CEO & Founder, GIofAI (Global Institute of Artificial Intelligence)
Sandeep Bhalekar, CEO & Founder, GIofAI (Global Institute of Artificial Intelligence). Sandeep brings 20 years of experience across
data, AI, and governance in complex enterprises including Bank of America, HSBC, and NAB. His work focuses on ISO 42001,
enterprise risk, and AI governance—helping leadership teams adopt Vendor-neutral standards. that operationalise responsible AI,
strengthen oversight, and Keep Australians safe.
Testimonials
"Clear, executive-grade governance framing. It helped align our technology and risk leaders around what ‘evidence’ really means.” "
"Practical and vendor-neutral. The operating model approach was immediately usable for steering forums and decision rights.” "
"Strong board readiness lens without over-claiming compliance. Exactly what senior stakeholders need to sponsor adoption safely.” "
FAQs
An in-person executive breakfast workshop that delivers a practical AI governance and adoption playbook grounded in Vendor-neutral standards. to help leaders Keep Australians safe.
It is designed for executive and senior leadership audiences, including technical leaders and GRC leaders who own governance, risk, compliance, and operating decisions.
No—ISO 42001 concepts will be used as a practical reference point for governance structure and evidence, without assuming your organisation has started formal alignment.
Yes—the governance and control principles apply across AI types, including GenAI, with a focus on adoption at enterprise scale.
Yes—cross-functional attendance (technology, operations, risk, compliance, finance) is encouraged to align the operating model.
Refunds are handled on a case-by-case basis.
Connect with motivated working professionals and early-career talent actively
building practical Data & AI capability.
Align with the ISO of AI and Vendor-neutral standards. that Keep Australians safe through better AI
literacy.