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Leading an AI-Native Organization

Leading an AI-Native Organization AI Strategy Working Session for Senior Leaders

Translate AI ambition into strategy, investment discipline, and a leadership roadmap your organisation can act on.

Most senior leaders aren't struggling with AI itself. They're struggling with how to fund it, govern it, and lead their organisation through the shift to AI-driven ways of working.

This is a one-day facilitated working session for senior leaders. Your organisational context drives the discussion. You'll work through a shared framework covering AI strategy, governance, workforce, data, technology, and investment, and leave with a prioritised set of decisions and commitments rather than a slide deck of theory.

Delivered in Australia and New Zealand by Pretty Agile, Charter Partner for Scaled Agile AI-Native training.

Register	Dates	Time	Location	Trainers	Cost(AUD)	Sale Ends
Register	18 May to 18 May 2026	9:00 AM to 5:00 PM AEST	Melbourne	Adrienne Wilson, Em Campbell-Pretty	~~$1,995.00~~ $1,795.00 + GST	03 Apr

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What Our Clients Say

Dan Oramali Group Manager, Finance Business Partnering, Engenco Limited

AI isn't something finance professionals should avoid, it's something we should learn to work alongside. Used well, AI can accelerate insights, improve efficiency, and create space for finance leaders to focus on what matters most: strategy, decision-making, risk, and value creation

Quentin Christie Associate Director Strategic Programmes, University of Auckland

I have attended many courses over my career but have never been to one which inspired those in the room to make a major transformational difference. The course focuses not on the tools but more importantly how AI as a business imperative integrates to help business transform and grow in an exponentially changing world.

Why this course exists

Most organisations have AI ambition. Few have a shared view of what to do first, how much to invest, or who owns what.

Senior leaders are being asked to fund, govern, and accelerate AI initiatives, often without a shared language for the decisions involved or a clear framework for prioritising investment against measurable outcomes. Strategy conversations stall between vision and execution because the people who control budgets, governance, and workforce decisions aren't yet aligned on the basics.

This course exists to close that gap: giving senior leaders the fluency, the frameworks, and a structured day to align on priorities, make decisions, and commit to next steps.

Who Should Attend

This course is suited to senior leaders who are accountable for funding, governing, or directing AI initiatives across an enterprise.

Business unit leaders, directors, and executives with P&L responsibility where AI initiatives are stalling between vision and execution
PMOs and transformation sponsors aligning AI investment with enterprise strategy
CIOs, CTOs, and technology leaders responsible for AI platform and data decisions
Anyone who must evaluate, approve, or manage AI initiatives across the enterprise

No technical background required. This is a leadership session, not a technology course.

What You'll Be Able to Do

After the session, you'll be able to:

Articulate your organisation's AI-Native maturity across strategy, workforce, governance, data, technology, culture, and agility
Set AI investment priorities grounded in P&L impact rather than hype
Define governance guardrails and responsible AI ownership that enable progress without inviting unnecessary risk
Shape a workforce upskilling plan that connects AI-Native training to the roles and value streams where it matters most
Commit to a 30-60-90 day AI leadership roadmap with named owners and specific next steps

This is a working session. Everything you produce is built around your organisation's context.

An AI-Native Organisation heatmap diagnosing your current maturity across seven dimensions
An AI Money Map linking AI investments to specific, measurable business outcomes
A Responsible AI Governance and Risk Plan covering the first 90 days of your highest-value initiatives
A workforce upskilling plan identifying who needs to become AI-Native first and how
A 30-60-90 day AI leadership roadmap with prioritised initiatives, named owners, and explicit decisions on what to pause

Leading the AI-Native Organisation is part of Scaled Agile's AI-Native Training Series. Pretty Agile is the Charter Partner for AI-Native training in Australia and New Zealand, selected from over 80 applicants by Scaled Agile.

Pretty Agile delivers this session in a way that is grounded in how Australian and New Zealand enterprises are actually navigating AI: the governance questions, the investment trade-offs, and the workforce decisions that matter at senior leadership level.

First AI-Native Charter Partner in APAC
Both facilitators (Em Campbell-Pretty and Adrienne Wilson) are Certified AI-Native Trainers
Scaled Agile features outcomes from Pretty Agile AI-Native classes on their global AI-Native page
100+ practitioners trained across 13 organisations in AI-Native courses to date

Designed by Scaled Agile. Delivered by Pretty Agile. Focused on helping senior leaders turn AI ambition into funded, governed, measurable progress.

Morning: Fluency, context, and strategic alignment

AI Challenges and Opportunities: Surface the real threats and opportunities facing your business model, cutting through hype to focus on what's strategically meaningful.

AI Fluency for Leaders: Build a shared executive AI lexicon (LLMs, GenAI, RAG, agents) so leadership conversations start from common ground.

AI Organisational Model in Our Context: Diagnose your organisation's AI-Native maturity across seven dimensions: strategy, workforce, governance, data, platforms, culture, and agility.

AI Vision and Strategy: Define your AI Strategic Intent, the leadership team's motivation and desired impact as it relates to your AI journey.

Afternoon: Investment, workforce, governance, and roadmap

AI Value Patterns and Priorities: Build your AI Money Map, a prioritised portfolio connecting every AI investment to a specific measurable return.

AI Workforce: Determine who must become AI-Native first, and shape an upskilling plan that includes AI-Native Foundations and Change Agent pathways.

Responsible AI: Assess governance exposure and define the guardrails, ownership, and policies required to scale AI responsibly.

AI Technology Investments: Evaluate build-versus-buy trade-offs, align on starting platforms, and understand why curated data and operational AI technology set the ceiling on AI-Native performance.

AI Leadership Roadmap (30-60-90): Commit to a unified roadmap that names owners, accelerates high-value initiatives, and explicitly pauses lower-value work.

A leadership team or cross-functional senior group (this session works best when participants share organisational context)
No technical background required
No pre-work required

One day of facilitated, interactive training by a Certified AI-Native Trainer
Official course materials via SAFe Studio
All session artefacts produced during the day (heatmap, AI Money Map, governance plan, workforce plan, leadership roadmap)

Duration: 1 day
Single-day immersive, in-company working session (onsite executive teams)
Facilitated and enterprise-contextual: your organisation's priorities drive the session, not a fixed slide deck