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AI-Native Change Agent

AI-Native Change Agent Leading AI initiatives from idea to delivered value.

Most organisations can run AI pilots. The gap is turning that momentum into solutions that ship, get adopted, and create measurable value. That gap has a name in the industry: the proof-of-concept graveyard.

AI-Native Change Agent is a practical three-day course for professionals expected to guide AI initiatives across teams and stakeholders. It builds the capability to clarify the real problem, align the people who matter, and lead initiatives through discovery, design, and delivery in a fast-changing landscape.

This is not a technical build course. It is about leading the work that makes AI outcomes possible: the conversations, decisions, trade-offs, and governance that determine whether AI initiatives move forward or stall.

You'll work in small teams to rescue a stalled AI initiative called Project Cygnus, applying the AI-Native Value Blueprint to redesign the solution, align stakeholders, and build a roadmap to production. No prior AI leadership experience required.

In this course, you will:

guide a realistic AI initiative from early signals through to delivery decisions
practise aligning stakeholders across business, delivery, risk, and governance
shape a viable AI solution approach, including data, operations, and adoption considerations
build the case for investment, including time-to-value and adoption risk
use AI as a working tool throughout: generating questions, testing options, and supporting facilitation

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

Prerequisite: AI-Native Foundations

AI-Native Foundations is required before you attend AI-Native Change Agent.

Recommended learning path: For the best learning experience, complete AI-Native Foundations first, then attend AI-Native Change Agent around 4–8 weeks later.

Accelerated option (intensive week): If timing is tight, you can complete AI-Native Foundations immediately before AI-Native Change Agent as an intensive week.

Next accelerated learning path dates:

AI-Native Foundations: 23 & 24 March 2026
AI-Native Change Agent: 25 to 27 March 2026

Book AI-Native Foundations

Looking for AI-Native Change Agent training in New Zealand?

Auckland (in-person)
6 to 8 May 2026, 9 am to 5 pm NZT
$3,995 NZD Early Bird (before 24 April 2026), then $4,295 NZD

Register now

In this course, you will:

guide a realistic AI initiative from early signals through to delivery decisions
practise aligning stakeholders across business, delivery, risk, and governance
shape a viable AI solution approach, including data, operations, and adoption considerations
build the case for investment, including time-to-value and adoption risk
use AI as a working tool throughout: generating questions, testing options, and supporting facilitation

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

Prerequisite: AI-Native Foundations

AI-Native Foundations is required before you attend AI-Native Change Agent.

Recommended learning path: For the best learning experience, complete AI-Native Foundations first, then attend AI-Native Change Agent around 4–8 weeks later.

Accelerated option (intensive week): If timing is tight, you can complete AI-Native Foundations immediately before AI-Native Change Agent as an intensive week.

Next accelerated learning path dates:

AI-Native Foundations: 23 & 24 March 2026
AI-Native Change Agent: 25 to 27 March 2026

Book AI-Native Foundations

Looking for AI-Native Change Agent training in New Zealand?

Auckland (in-person)
6 to 8 May 2026, 9 am to 5 pm NZT
$3,995 NZD Early Bird (before 24 April 2026), then $4,295 NZD

Register now

Register	Dates	Time	Location	Trainers	Cost(AUD)	Sale Ends
Register	25 Mar to 27 Mar 2026	9:00 AM to 5:00 PM AEDT	Melbourne (in-person)	Adrienne Wilson	~~$3,695.00~~ $3,395.00 + GST	11 Mar
Register	24 Jun to 26 Jun 2026	9:00 AM to 5:00 PM AEST	Melbourne (in-person)	Adrienne Wilson	~~$3,695.00~~ $3,395.00 + GST	09 Jun

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What Our Clients Say

Jacinta Penn Co-Founder at Fleecegrow

What stood out for me was the focus on how AI can actually fit into real business workflows. It helped me see how the tools I’ve been experimenting with could be used more systematically — and it built a lot of confidence that I’m on the right track. That it's not about leaving it to IT but about using it in our day to day and to provide improved services. What I appreciated most was the balance between curiosity and responsibility — using AI well, not just using it. Thanks so much Em Campbell-Pretty and Adrienne Wilson.

Larissa Ivanova Consultant: Organisational Performance and Improvement at The University of Auckland

What stood out wasn’t just the technology, it was how deeply AI thinking connects to business transformation and people-centered change. I’ve already started applying these ideas at the University of Auckland. It was great to be... learning together with such an inspiring group made the experience even richer. Inspiring to see AI framed not as hype, but as a discipline that helps us design smarter, more human systems.

Emily Hanna Programme Change Manager at The University of Auckland

Big thanks to Em Campbell-Pretty and Adrienne Wilson for making this journey genuinely inspiring. Excited to keep exploring how to “think AI-first” - not just use the tools, but redesign how we do the work.

Why this course exists

AI isn't a side experiment anymore. Most organisations already have ideas, pilots, and tools in motion.

What's missing is the capability to turn that activity into outcomes, safely and repeatably.

AI initiatives often stall, not because the technology fails, but because the work around it isn't done well:

the problem isn't clear enough to make good choices
stakeholders aren't aligned on value, risk, or intent
accountabilities across business, product, and delivery are fuzzy
teams don't have a practical way to navigate uncertainty as capabilities and constraints shift

AI-Native Change Agent exists to close that gap: the work between ambition and delivery.

Who Should Attend

AI-Native Change Agent is for the people expected to make AI work in their organisation, not by building models, but by leading the work that turns AI activity into outcomes.

This course is suited to you if:

you're a consultant, coach, or transformation lead guiding AI implementations from concept to production
you sit between business and delivery and are asked to align priorities, people, and decisions around AI initiatives
you're a product, programme, or delivery leader accountable for AI outcomes
you're a senior leader sponsoring AI initiatives who needs confidence the investment will land

Participants commonly include consultants, agile coaches, transformation leads, product and delivery leaders, solutions architects, programme managers, and senior technologists from organisations across Australia and internationally.

AI-Native Foundations is a prerequisite for this course. Book Foundations here.

What You'll Be Able to Do

After completing AI-Native Change Agent, you'll be able to:

diagnose why AI initiatives stall and what needs to change
make clearer decisions about where to invest, pause, or stop AI work
align stakeholders across business, delivery, risk, and governance
run discovery that focuses teams on the right AI problem before solutioning begins
design AI initiatives that are viable, fundable, and adoptable
guide delivery through uncertainty as AI capability, costs, and constraints shift
measure outcomes and carry learning forward into the next initiative

Executives gain confidence in AI-related decisions. Practitioners gain the capability to lead AI work end to end.

What You'll Actually Work On

Across the course, you'll practise the role of an AI-Native Change Agent by guiding an AI initiative from early signals through to delivery decisions.

You'll work through Project Cygnus, a realistic case that reflects the kinds of AI initiatives organisations are dealing with right now: the ones stuck between proof of concept and production. You'll apply the AI-Native Value Blueprint to diagnose the initiative, redesign the solution approach, align stakeholders, and build a roadmap to production.

You'll work on:

clarifying the real problem an AI initiative is trying to solve, before solutioning begins
aligning stakeholders on value, risk, and intent
framing discovery so teams focus on what actually matters
shaping a viable AI solution approach, including data, operations, and risk considerations
guiding delivery decisions as constraints and AI capability shift
defining what success looks like and how learning is carried forward

Throughout the course, you'll use AI to support your thinking and facilitation, helping generate better questions, test options, and synthesise insights, while keeping human judgement and accountability front and centre.

You won't be building models or learning tools.

You'll be practising how to lead the work that turns AI activity into outcomes.

Why train with Pretty Agile?

AI-Native Change Agent is a course created by Scaled Agile, designed to help organisations lead AI initiatives from idea through to delivered value.

Pretty Agile was one of the first AI-Native partners globally and the first in APAC, hand-picked by Scaled Agile to deliver AI-Native training in Australia and New Zealand.

Beyond the standard curriculum, here is what Pretty Agile brings to the course:

Practitioner trainers who work with organisations on AI adoption, not trainers reading slides
Practical fluency across all major AI tools (ChatGPT, Claude, Copilot, Gemini), so facilitation adapts to whatever your organisation uses
Forced application to real scenarios: you practise the conversations, trade-offs, and decisions that AI implementation actually requires
Australian and New Zealand enterprise context: risk, governance, procurement, and stakeholder dynamics relevant to how organisations here work

Training is delivered in person across Australia and New Zealand and is interactive by design. Sessions focus on facilitated discussion, applied scenarios, and practising the decisions that determine whether AI initiatives move forward or stall.

Designed by Scaled Agile. Delivered by Pretty Agile. Focused on leading the conversations and decisions that shape AI outcomes.

What You'll Learn in AI-Native Change Agent

Across three days, you'll move from diagnosis and alignment through to design and delivery.

Day 1: The core role and the human work

why AI initiatives stall and how to spot the common failure patterns early
how to unlock value from existing AI tools and investments before building anything new
how to facilitate alignment across diverse stakeholders
creating psychological safety, handling resistance, and keeping momentum in tough conversations

Day 2: The AI solution lifecycle in practice (discovery and design)

how to run discovery that surfaces the real problem, constraints, and stakeholders
how to translate business needs into a realistic AI solution approach
how to plan data strategy, production operations, and risk as design inputs, not afterthoughts
how to build a viable investment case, including adoption and time-to-value

Day 3: Delivering through change

how to build resilient roadmaps that anticipate AI change and obsolescence
how to remove blockers and keep delivery moving without losing alignment
how to use fast learning cycles to pivot or persevere based on evidence
how to prepare for launch, measure value, and capture lessons learned

To get the most out of AI-Native Change Agent, you'll need:

a laptop with reliable internet access
access to a generative AI tool such as ChatGPT, Claude, Copilot, or Gemini
willingness to participate actively in facilitated discussions and scenario work
openness to exploring real organisational constraints, trade-offs, and decisions

No technical background is required. This course focuses on facilitation, judgment, and leadership, not building or coding.

Your AI-Native Change Agent experience includes:

three days of live, in-person training with a certified AI-Native Trainer
access to official course materials through SAFe Studio, including templates and resources
a digital workbook to capture insights, decisions, and reflections during the course
the AI-Native Companion App to support learning before, during, and after the course
facilitated scenarios and exercises focused on leading AI initiatives
access to the AI-Native Change Agent certification assessment
a digital certificate of completion from AI-Native by Scaled Agile, Inc.

Public classes also include:

catering provided each day
complimentary Wi-Fi at all training venues

After completing the course and passing the assessment, you’ll earn the Certified AI-Native Change Agent credential from Scaled Agile, issued via Credly.

This certification demonstrates your ability to:

guide AI initiatives from discovery through design and delivery
align people, decisions, and governance around AI outcomes
navigate uncertainty and change as AI capability evolves
lead AI-enabled work in a practical, business-first context

After completing the course, you’ll take a 20-question multiple-choice exam online via SAFe Studio. You’ll need to score 80% or higher to pass.

The exam is only available to participants who attend the in-person course
Access is provided after the course
Your certification and exam are included in the course fee

Public courses

All AI-Native courses are delivered in person by Pretty Agile's certified AI-Native Trainers.

Each session is interactive by design, combining facilitated discussion, practical exercises, and real organisational scenarios. The focus is on learning through participation, not presentation.

Public courses run on a regular schedule in Melbourne, Sydney, Brisbane, Perth, and Auckland. Catering and complimentary Wi-Fi are included at all training venues.

Private courses

AI-Native Change Agent can be delivered as a private course for your organisation. Private courses can be customised to reflect your organisation's context, tools, and AI initiatives.

We can run training at your premises or at a venue of your choice.

To discuss a private course, contact us or request a quote.

No online delivery

AI-Native courses are delivered in person. The curriculum requires live collaboration, guided facilitation, and practical application that cannot be replicated online.

Yes. You’ll need to complete AI-Native Foundations before the course starts. If you’re unsure which Foundations date to choose, we’ll help you line it up.