Executive AI Readiness: What Leaders Must Put in Place Before the Rest of the Organisation Moves Without Them
It's Tuesday morning and the CFO pulls you aside after the leadership standup. "Our competitors just announced an AI-powered supply chain overhaul. The board wants our plan by Friday." You nod, walk back to your desk, and quietly google "AI strategy for business" while your coffee goes cold.
That scene is playing out across APAC right now. And here's the uncomfortable bit: McKinsey's 2025 State of AI survey found that 88% of organisations use AI in at least one function, but only about a third have scaled beyond pilots. The bottleneck isn't the technology. It's the leadership team.
This guide cuts through the noise. It maps four executive-level courses to the specific readiness challenges they solve, so you can pick what fits your situation and get moving.
The Gap Nobody Wants to Own
Both McKinsey's workplace AI report and Deloitte's 2026 State of AI in the Enterprise landed on the same conclusion: the biggest barrier to AI readiness isn't budget or tools. It's leadership. C-suite leaders are more than twice as likely to blame employee readiness for slow adoption as they are to examine their own role. Meanwhile, 68% of managers had already recommended an AI tool to a team member. The disconnect sits at the top, not the bottom.
So what actually needs to happen?
Courses That Close the Gap
Each of these four courses targets a different piece of the executive AI readiness puzzle. Some leaders will need one. Most will benefit from a combination.
1. AI+ Chief AI Officer
Who it's for | CEOs, COOs, board members and senior leaders responsible for AI strategy and governance |
Problem it solves | You need to own AI decisions at the executive level but don't have a governance framework, roadmap or regulatory grounding to do it properly |
Key use cases | Building an enterprise AI roadmap with clear milestones and accountability Navigating regulatory frameworks (including Australia's AI6 governance practices) Assessing business impact and allocating resources across AI initiatives Managing cybersecurity risk in AI deployments |
Delivered by Lumify Work as a Platinum Authorised Training Partner for AI CERTs across Australia, New Zealand and the Philippines. One day. No coding. Just the strategic thinking boards need. View the AI+ Chief AI Officer course.
2. AI+ Executive
Who it's for: Directors, VPs and senior managers who need a solid grounding in AI fundamentals without the deep technical detail. This one's vendor-agnostic, which makes it particularly useful for organisations running multi-cloud or hybrid environments.
Problem it solves: Your leadership team can't evaluate AI proposals, challenge vendor claims, or make informed investment decisions because they lack foundational AI literacy.
Business applications:
AI strategy development and governance design
Data management fundamentals for non-technical leaders
Risk assessment and ethical AI decision-making
Leading cross-functional teams through AI integration
View the AI+ Executive course.
3. Microsoft AB-731T00: Drive AI Transformation in Your Organisation
This is the course for the executive who keeps hearing about Copilot and AI transformation but needs a structured way to figure out where the real value sits, and how to align investment with business outcomes.
Who it's for | Directors, VPs and executives across marketing, sales, operations, HR, finance and strategy |
Problem it solves | Identifying high-impact AI opportunities in a Microsoft ecosystem and building a credible business case for AI investment |
Key use cases | Spotting AI opportunities across business functions Aligning AI investments with measurable business goals Building a credible transformation strategy for Microsoft environments |
As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand, and holds the Microsoft MCT Superstars Award for FY24. View the AB-731T00 course.
4. Microsoft AB-730T00: Transform Business Workflows with Generative AI
Who it's for: Leaders who want to understand exactly where generative AI slots into their existing business processes. More hands-on and workflow-specific than the AB-731.
Problem it solves: You've got the strategic vision, but your teams are stuck figuring out which actual workflows benefit from generative AI, and which are just noise.
Business applications:
Mapping generative AI capabilities to operational processes
Identifying automation candidates across departments
Building practical implementation plans for specific workflows
Regional Snapshot
AI readiness plays out differently depending on where you're operating. Here's a quick lay of the land across our three core markets.
Region | Where things stand | What executives should know |
Australia | The National AI Plan (Dec 2025) and Public Service AI Plan set the tone. Government agencies must appoint Chief AI Officers by July 2026. | The NAIC's AI6 governance practices are shaping private sector expectations. Getting governance in place now gives you a head start before regulation tightens. |
New Zealand | "Investing with Confidence" strategy (Jul 2025). Business AI adoption surged from 48% to 82-87% in two years. | Light-touch regulatory approach. Skills remain a constraint: only 36% of workers report confidence in AI skills. Massive upskilling opportunity. |
Philippines | 92% of organisations surveyed in the Philippine AI Report 2025 had deployed AI. 61% of strategies are C-suite led. | 83% of organisations report employees using ChatGPT, but only 12% have a dedicated AI Compliance Officer. The governance gap is the priority. |
Lumify Work delivers the same instructor-led, vendor-certified courses across all three markets, including through partner delivery in the Philippines.
Your Quick-Start Checklist
If you're a CEO, CTO, COO or board member wondering what to do on Monday morning, this is the short version.
Phase 1: Foundations (weeks 1 to 4)
Run an honest AI maturity assessment. Not a vendor-led one that conveniently concludes you need their product.
Appoint an AI owner at the executive level. Someone with actual authority, not a vague committee.
Define your governance guardrails: data scope, approval processes, responsible AI framework. The Australian NAIC's AI6 is a solid starting point.
Book your leadership team into structured AI training. The AI+ Executive course covers strategic grounding; the AB-731 adds Microsoft-specific depth.
Phase 2: Build the roadmap (months 2 to 3)
Identify three to five high-impact use cases. Not twenty. Three to five, chosen because they address real operational friction with clear, measurable outcomes.
Map each use case to the skills your team needs. Some will require technical upskilling (explore the full AI and Machine Learning course catalogue). Others will need process redesign. The AB-730 is strong here because it connects AI directly to workflows.
Phase 3: Scale with discipline (months 4 to 12)
Treat AI as a continuous cycle, not a project with a finish date. Ongoing training, regular governance reviews, and leadership that stays visibly engaged.
For organisations with broader teams to upskill, the AI+ Chief AI Officer certification provides the long-term strategic framework.
Getting Started with Lumify Work
Lumify Work delivers the largest range of authorised AI and Machine Learning training in Australia, New Zealand and the Philippines. Training is available online, in-person across ten campuses, or as tailored digital programmes designed around your organisation's specific tech stack and team needs.
Explore Lumify Work's full AI and Machine Learning training catalogue and book your executive team in before the next board meeting catches you off guard.
