An employee left last week. Badge back in 10 minutes.

Their API keys, cloud access, and AI agents? Still running. Still authenticated. Owned by nobody.

For every human in your system, there are 82 machine identities. Almost none have a named owner. Most boards don’t know that number exists.

In February 2026, FIIG Securities copped a $2.5 million civil penalty for cyber failures. First case under AFSL. A third action against Fortnum Private Wealth is already in motion.

The ASD now mandates named risk questions at every committee meeting. Personal liability for directors isn’t a future scenario. It’s already arrived.

Dan Mountstephen covers identity security for Okta across 25,000 customers. In this episode, we walk through exactly how leading organisations are getting on top of this. The model is simpler than most boards expect.

Listen now.

He runs a regulated FinTech platform VentureCrowd - with two financial services licences and $440 million raised through it.

Nobody got fired. His team kept getting poached because they were good. Every time someone left, Diego did something most won’t do. He didn’t open a job req. He mapped every task that person owned and asked three questions:

* What can an agent handle?

* Who can upskill into this?

* What can we redesign entirely?

He calls it the Vacancy Strategy. The results speak for themselves.

Listen now, and subscribe : 🎧 Available on Apple and Spotify.

A $90K backfill costs closer to $160K in year one once you count recruitment, super, onboarding, and ramp time. The Australian HR Institute (AHRI) puts total replacement cost at 1.5x annual salary.

Three things from this conversation worth 40 minutes of your time:

* The team got smaller and output went up. Diego’s marketing team went from six to one. They used to cap at 4-5 deals. Now they handle unlimited. He didn’t hire cheaper people. He built a crew of specialised agents that handle the repetitive work while one person runs the strategy.

* Months became days. Projects that used to take months are out the door in two weeks. Agents that took weeks to build are done in a day. His team approves 15-20 code changes daily across six people.

* Everyone became a builder. Designers are pushing code to production. Product managers are making architecture decisions. Juniors are proposing strategy. The gap between “I know what needs to be built” and “I can build it” has collapsed. Traditional job descriptions are dead at VentureCrowd.

Your 48-hour action: Next time a role opens on your team, hold the job req. Map every task that person did. Find one an agent can handle. You’ll find it.

Find the framework and how you can apply it on the latest episode of Applied AI Australia.

Forward this to your CFO: are we spending $160K to replace a role an agent could fill for $12K/year?​​​​​​​​​​​​​​​​

Subscribe - Know a CFO still measuring AI by project count? Forward this.

Episode Summary:

90% of Australian companies have invested in AI. Only 40% are seeing results. The problem isn't the technology.

In Part 1, we showed you which type of AI leader you are: Believer, Driver, or Builder. In Part 2, we reveal why that's only half the picture. There are two tracks of AI maturity and most organisations only measure one. Anthony Mittelmark calls it the Two-Track Trap: your AI usage might be advancing, but if your organisation isn't built to carry it, the investment leaks value.

This episode gives you diagnostic questions most leadership teams can't answer, a real case study of how one multinational reframed AI as a valuation play, and a 48-hour action you can run this week without budget or approval.

What you will learn:

Why treating AI projects like IT projects is the #1 reason programs stall

The four levels of AI usage maturity (Tool User to AI-First) and where most companies are stuck

The second maturity track nobody measures: organisational readiness

Why tactical AI integration can make the rest of the business worse

How a multinational used upstream data IP to change their valuation narrative

A 48-hour brutal audit you can run with your leadership team this week

Key Frameworks:

Two-Track Trap Track A: AI Usage Maturity (Tool User > Process Runner > Commercial Operator > AI-First) Track B: Organisational Maturity (leadership articulation, business resistance, architecture to roadmap) Most companies measure Track A and ignore Track B. That's where investment leaks.

Portfolio Mindset: Every AI project must deliver commercial value, build reusable capability, and advance organisational AI fluency.

Valuation Reframe: Not "what does your org look like in 2030" but "how will it be valued in 2030?"

Key Stats:

12% of Australian leaders say GenAI is transforming their business (vs 25% globally)

90% invested in AI, only 40% seeing results (Frontier, March 2026)

Financial services moving to AI-first: cost-to-serve gap makes it impossible to compete without it

48 Hour Challenge:

Ramon: 30 mins. One page. Can leadership articulate why you're investing in AI (commercial reasons, not efficiencies)? Is the business resisting - where and who? What does next-gen CX look like? Does tech map AI architecture to a roadmap with cost-benefit? For every AI initiative, does the org support it or is tech running ahead? If you can't answer with confidence, there's a gap.

Anthony: List every AI tool, subscription, pilot, and POC. Portfolio strategy or just a collection of stuff? CEO to CFO: are we aligned on AI investment and what's the return?

"The board doesn't need another AI update. They need a name to it next quarter."

Timestamps

0:00 - Intro: the two-track blind spot

1:00 -Why AI programs stall: IT projects vs portfolio mindset

5:00 - The four levels of AI usage maturity

8:30 - The Two-Track Trap: organisational readiness

11:30 - What happens when leadership can't articulate why

14:30 - Level 3 usage, Level 1 organisation

17:30 - The $500M CEO building a business within her business

19:00 - Upstream data IP and valuation narrative

21:30 - Does this project advance your AI thesis?

23:00 - The brutal audit

25:30 - Close: AI maturity runs on two tracks

Part 1 (Believer, Driver, Builder): ⁠Here⁠

Applied AI Australia:

https://appliedaiaustralia.com.au

https://www.linkedin.com/in/ramonrod

Podcast + ⁠Executive Newsletter ⁠

Guest:

Anthony Mittelmark, 20+ years AI strategy across ASX 100 companies and high-growth ventures..

LinkedIn: ⁠linkedin.com/in/anthonymittelmark⁠

Applied AI Australia

In Conversation With: Anthony Mittelmark. Technology executive with 20+ years delivering enterprise-scale AI strategy and digital transformation across ASX 100 companies and high-growth ventures.

Duration: ~28 minutes

EPISODE SUMMARY

Every Australian executive falls into one of three AI leadership categories. The problem: most think they're a different type to what they actually are.

Ramon Rodriguez and Anthony Mittelmark unpack the Believer, the Driver, and the Builder using real data from KPMG, Deloitte, and MIT. Part 1 is diagnosis.

Part 2 covers what to do about it.

THE 3 TYPES

Type 1: The Believer

Well read, forwarding articles to leadership, but hasn't committed to a first commercial move. The risk of being wrong feels bigger than the risk of waiting. That's a false trade-off. Every quarter at Level 1 widens the gap.

Type 2: The Driver

Committed, shipping results, capital deployed, reorgs done. But running from fear of being caught flat-footed. The tension between AI's 9-18 month value curve and 6-month ASX reporting cycles pushes Drivers toward highly visible, low-impact tools over structural redesign.

Type 3: The Builder

Budget, pilots, task force, enthusiasm. Missing the commercial thread. Has AI champions but no AI owners. The champion raises their hand. The owner answers to the board when it fails.

KEY DATA

63% of Australian C-suite rank AI as chief concern for 2026 (KPMG)

12% of Australian leaders report AI is actively transforming their business, vs 25% globally (Deloitte)

28% of Australian organisations have moved 40%+ of AI pilots to production (Deloitte)

95% of enterprise gen AI pilots fail to deliver measurable impact (MIT)

THE EXECUTIVE LANGUAGE DECODER

"Exploring AI opportunities" = We haven't committed to anything

"Piloting in one department" = We don't know if it works yet

"Monitoring the landscape" = We're waiting for someone else to go first

"Developing our AI strategy" = We don't have one

"AI-augmented workflows" = We added a chatbot

"Responsible AI approach" = We're using compliance as a brake

YOUR 48-HOUR FIRST MOVE

Believers: Map your category against a 20% margin compression scenario. One page. This week. Have the conversation.

Drivers: Ask your leadership team: where are we still making decisions the same way we did three years ago? Find it before a competitor does.

Builders: Name one AI initiative running right now and put a strict dollar figure on it. Savings or revenue. If you can't do this by Friday, pause the build.

TIMESTAMPS

00:00 Introduction and episode framing

01:07 The Australian AI readiness gap in numbers

03:11 The 3 types of AI leader: overview

03:37 Type 1: The Believer

09:26 Believer self-diagnosis questions

11:00 Type 2: The Driver

12:42 Tactical AI vs AI-first

16:09 Type 3: The Builder

22:00 The Executive Language Decoder

23:56 Traditional frameworks vs probabilistic technology

26:08 Your 48-hour first move

27:20 Closing and Part 2 preview

LINKS

Website: www.appliedaiaustralia.com.au

Executive Newsletter: https://substack.com/@appliedaiaustralia

Ramon Rodriguez: https://www.linkedin.com/in/ramonrod

Anthony Mittelmark: https://www.linkedin.com/in/anthonymittelmark/

SUBSCRIBE TO APPLIED AI AUSTRALIA

The #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.

ABOUT APPLIED AI AUSTRALIA

Applied AI Australia helps execs cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

90% of Australian executives believe AI is critical for survival, yet only 3% have successfully operationalised it. Why the gap? Because their data is fragmented across too many tools.

In this episode, Andrew McCarthy (GM, Notion APAC) joins us to dismantle the "AI Aspiration Gap." We move beyond the hype to discuss the infrastructure required to turn your company's "Institutional Memory" into a queryable AI asset—and deliver massive operational ROI.

Key Takeaways & ROI:

The $1M Efficiency Play: How consolidating decision logic saved over $1 million in costs and reduced reporting time from 3.5 days to just 6 hours

The "Heidi" Case Study: How one workflow change saved 260 hours a month by automating context, not just tasks

Scaling Decision Logic: A framework for capturing the "why" behind executive decisions so they can be replicated at scale

The Cost of Tool Sprawl: How fragmented data silos are preventing your AI from generating accurate insights

Retention as ROI: How reducing workflow friction directly impacts your ability to retain top talent

Timestamps:

[00:00] Introduction: The disconnect between AI strategy and execution

[01:49] The state of AI in Australian Enterprise: Why we are "aspirational" but not "operational"

[02:59] The "Tool Sprawl" Crisis: Why your tech stack is killing your AI potential

[04:17] Framework: How to consolidate knowledge infrastructure

[10:24] Case Study: Practical examples of AI reducing operational drag

[16:47] Leadership Strategy: How to govern AI adoption without stifling innovation

[35:13] Andrew's forecast for the future of work

Links:

Connect with Andrew McCarthy on LinkedIn: ⁠https://www.linkedin.com/in/awmccarthy/⁠

Explore Notion for Enterprise: ⁠https://www.notion.so/product/enterprise⁠

Connect with Ramon Rodriguez on LinkedIn: ⁠https://www.linkedin.com/in/ramonrod/⁠

SUBSCRIBE TO APPLIED AI AUSTRALIA The #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.

📧 Newsletter: ⁠HERE⁠

ABOUT APPLIED AI AUSTRALIA Applied AI Australia helps execs cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

In this episode of Applied AI Australia, Ramon Rodriguez sits down with Dawid Nord, CEO & Founder of⁠ Pathfindr⁠, to expose a dangerous illusion gripping corporate Australia: the belief that you can delegate AI to your CTO, a consultant, or a tech vendor. 

You can't scale what leadership doesn't use, and you can't govern what leadership doesn't understand.   Real transformation doesn't start in tech. It starts at the top.

You’ll learn:

The CTO Trap: Why the IT department shouldn't own your P&L or business transformation.

Reasoning vs. Doing: Moving beyond inbox sorting to leverage the true reasoning power of frontier models.

The $1M PDF : A practical look at how simple tools solve complex executive problems.

Consultant Red Flags: The "PowerPoint Test" that exposes if your advisor is a practitioner or a theorist.

The 48-Hour Challenge: Three tactical moves to audit your calendar and your career tonight.

This episode is for: Australian CEOs, CFOs, and Board Members who are tired of AI hype and want measurable business outcomes (ROI, margin impact, and risk reduction).

Timestamps:00:00 - The $28M Reality Check: Why Australian AI pilots fail

03:10 - Pilot to Production: Why things don't go live

07:20 - Escaping the "CTO Trap": Leadership vs. Tech delegation

09:45 - Case Study: The $1M PDF win in logistics

13:15 - Reasoning Power: Using AI for better decision making

18:40 - The PowerPoint Red Flag: How to audit your AI consultants

29:30 - The 48-Hour Executive Challenge: Take action now

Is your organisation falling into the CTO Trap?

Take the 2-minute AI Revenue Scorecard to find your hidden margins and get your personalised risk assessment: ⁠HERE⁠

SUBSCRIBE TO APPLIED AI AUSTRALIA:

The #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.

📧 Newsletter: ⁠HERE⁠

ABOUT APPLIED AI AUSTRALIA

Applied AI Australia helps senior leaders cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

In this episode, Ramon Rodriguez speaks with Brad Granger, Managing Director at Podium, about why Australian executives keep getting burned by AI pilots and what to do instead.

Brad reveals the “test-first trap” that’s killing AI ROI, and shares the 3 critical questions every CEO and CFO must ask before investing in AI implementation.

You’ll learn:

* Why AI pilots stall (and how to move beyond them to real ROI)

* The 3 questions that prevent bad AI investments

* How to treat AI as a strategic investment, not a disposable test

* Why efficiency AND growth are both achievable (not either/or)

* The data, people, and process factors that make AI succeed

* How to balance automation with customer experience and control

This episode is for: CEOs, CFOs, and Australian business leaders who tried AI, got disappointed, and want a practical roadmap to actually get results.

Timestamps:

00:00 Introduction

00:35 Why the Test-First Mindset Fails

03:10 Efficiency vs Growth: The Real ROI Question

08:45 The 3 Critical Questions Every Executive Must Ask

15:20 Treating AI Like an Employee (Not a Tool)

22:00 Change Management and Team Adoption

28:30 Automation vs Customer Experience Trade-offs

34:00 Action Steps and Key Takeaways

Is your business ready to move beyond AI pilots?

Take the 2-minute AI Readiness Scorecard and get your personalised risk assessment: ⁠HERE⁠

SUBSCRIBE TO APPLIED AI AUSTRALIA

All you need to know in one place, specifically for Australian Executives and Organisational leaders. Frameworks you can apply in 48 hours.

📧 Newsletter: ⁠Here⁠🎙️ Podcast: Subscribe on ⁠Apple Podcasts ⁠| ⁠Spotify⁠

ABOUT APPLIED AI AUSTRALIA

Applied AI Australia helps Australian executives cut through AI noise and implement strategies that deliver real business outcomes. Every week, we translate AI into practical actions for growth, efficiency, and ROI.

This morning, OpenAI dropped Atlas—their new agentic browser. Within hours, executives across Australia were asking: "Should we use this?"

Wrong question.

The right question: Who owns decisions your browser makes when it's authenticated in your profile and making decisions on your behalf?

In this episode, Ramon Rodriguez breaks down the agentic browser revolution—and the governance gaps no board has answered yet. This is essential listening for CEOs, CFOs, and board members responsible for AI oversight.

What You'll Learn:

OpenAI's Atlas vs. Perplexity's Comet—what they do with your credentials

Live demo: Comet analyzing Gmail, board papers & M&A financials in 25 minutes

Four governance gaps: credentials, prompt injection attacks, data sovereignty, accountability

Key stat: 28% of enterprises had Atlas downloaded within one week—with no IT approval

When to deploy agentic browsers (and when to wait)

Key Takeaway: 42% of Australian firms have no AI governance procedures. Atlas just forced that decision forward by six months.

FREE GOVERNANCE CHECKLIST

Download the Agentic Browser Governance Checklist with risk-zone mapping template:

www.appliedaiaustralia.com.au/browsers

SUBSCRIBE TO THE NEWSLETTER

Weekly Australian-specific AI governance frameworks. No vendor pitches, no hype—just decision frameworks you can use within 48 hours:

www.appliedaiaustralia.com.au

CONNECT

LinkedIn Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7361367802600935424

YouTube: @AppliedAIAustralia

Website: www.appliedaiaustralia.com.au

ABOUT APPLIED AI AUSTRALIA

This show cuts through the noise and delivers only on what matters: growth, margins, and time. Each week, Ramon Rodriguez translates AI into practical outcomes leaders can actually use.

You can't control the speed of change, but you can control how quick you adapt.

DISCLAIMER

This episode provides educational information about AI governance and is not legal, financial, or compliance advice. Consult your legal and IT security teams before deploying agentic AI tools in your organization.

© 2025 Applied AI Australia. All rights reserved.

Download the free AI Adoption Scorecard for practical next steps: ⁠https://appliedaiaustralia.com.au⁠.

Subscribe to the newsletter: ⁠https://appliedaiaustralia.substack.com⁠

Subscribe to Youtube: www.youtube.com/@AppliedAIAustralia⁠⁠⁠

00:00 Introduction to Applied AI Australia

00:21 The AI Opportunity and Execution

01:02 The AI Impact Loop

02:02 Common Pitfalls in AI Implementation

03:15 Empowering Internal Teams

04:53 Steps to Successful AI Deployment

11:48 Guardrails for AI Implementation

15:37 Summary and Final Thoughts

Download the free AI Adoption Scorecard for practical next steps: https://appliedaiaustralia.com.au.

Subscribe to the newsletter: https://appliedaiaustralia.substack.com

Subscribe to Youtube:

www.youtube.com/@AppliedAIAustralia00:00 Introduction to Applied AI Australia00:21 The AI Opportunity and Execution01:02 The AI Impact Loop02:02 Common Pitfalls in AI Implementation03:15 Empowering Internal Teams04:53 Steps to Successful AI Deployment11:48 Guardrails for AI Implementation15:37 Summary and Final Thoughts

Ramon highlights how businesses can capture 'invisible customers' and adapt to the new AI-driven decision-making landscape. He outlines three actionable steps for businesses to enhance their AI visibility: ensuring digital clarity, creating answer assets, and building authority through credible sources.

The episode underscores the urgency for businesses to integrate AI strategies to remain competitive as AI's influence rapidly grows

.00:00 Introduction to Applied AI Australia

00:22 The Power of AI in Everyday Decisions

03:12 The Invisible Customer Phenomenon

04:59 AI's Influence on Business Decisions

09:50 The Changing Customer Journey

13:15 Three Moves to Capture Invisible Customers1

5:50 Conclusion and Call to Action

Most executives think prompting is about clever questions. With GPT-5, that’s outdated. The real advantage is structured briefing - managing AI like you would a consultant.

In this episode of Applied AI Australia, Ramon Rodriguez shares how structured prompting turns GPT-5 into a boardroom asset, delivering consulting-grade intelligence in hours, not weeks

As promised, here’s what to put in custom settings:

1️⃣ Assign a role & scope the mandate

→ Tell the AI who it is (e.g., “You are a strategic consultant to a mid-market CFO”) and what it’s responsible for.

2️⃣ Control reasoning depth

→ Specify when it should go step-by-step versus when you want a concise, high-level summary.

3️⃣ Specify the deliverable

→ Define the output format upfront (e.g., board brief, 2x2 matrix, table) and set length (e.g., <800 words).

4️⃣ Install a feedback loop

→ Instruct the AI to ask clarifying questions before advising if your prompt is missing context.

5️⃣ Sequential prompting to stress-test decisions

→ Use structured steps like a premortem, scenario analysis, or a skeptical board review to challenge assumptions and strengthen recommendations.

Ramon also introduces a 48-Hour Strategic Briefing Challenge and the free AI Adoption Scorecard, giving non-technical executives a practical playbook to accelerate smarter decisions and stay competitive.

👉 Download the AI Adoption Scorecard: appliedaiaustralia.com.au

👉 Join the newsletter: appliedaiaustralia.substack.com

Chapters

00:00 — Introduction to Applied AI Australia

00:25 — The reality for mid-market Australian executives

02:01 — Leveraging AI for strategic decision-making

04:17 — The evolution and challenges of AI tools

08:57 — Crafting effective AI prompts

10:46 — Five principles for AI briefing

14:03 — Sequential prompting for strategic value

16:35 — Conclusion + strategic briefing challenge

Ramon highlights how AI adoption is moving faster than any past technology wave, already reshaping industries and decision cycles. He shares his own experiences of applying AI to overcome resource constraints and deliver measurable results, making the case that AI is not a future project — it’s today’s competitive advantage.

Download scorecard or get in touch - https://appliedaiaustralia.com.au

This episode is designed to give non-technical executives a clear entry point: practical guidance, an AI adoption scorecard, and simple workflows you can act on within 48 hours.

• The Rise and Fall of the Yellow Pages • Technological Revolutions: • AI’s Unprecedented Growth • Introduction to Applied AI Australia • Personal Journey: Embracing AI • AI in Business: Practical Applications • The Power and Potential of AI • The Uncertainty and Fear • The AI Preparedness Gap • Leveraging AI Without Coding Skills • Spotting AI Opportunities • The Importance of AI Literacy • Generative AI for Everyone • AI’s Impact on Jobs • The Future of AI in Business • Principles for AI Adoption • Stages of AI Integration • Staying Updated with AI Trends • Conclusion and Next Steps