AI-Native training for professionals who want to become AI-Native in a way that fits their organisation, focused on practical application, adoption and scaling.
The next step: AI-Native is clear. Now, find the approach that's right for your organisation. We want to become AI-NativeThe dilemma now lies less in whether you should do this, but rather in how to organise it so that it truly resonates with your daily work. And that's where partner choice plays a role: not because there are "bad" providers, but because the best approach depends on your context, maturity, and goals.
Without an approach that fits your situation, the following often occurs:
Teams learn a lot, but it doesn't translate sufficiently into concrete workflows and decision-making
There is enthusiasm, but without clear anchoring and follow-up it quickly fades away
AI initiatives are growing in a fragmented manner, making prioritisation and governance difficult
Value is only sought after, rather than designed in advance: lots of activity, little measurable impact
We see that organisations especially need a partner who not only knows the framework, but also helps translate it into their way of working with attention to people, processes and the next steps towards scalable impact.
Connected Movement is official AI-Native Partner Catalyst.
AI-Native is a transformation system: a combination of frameworks, training, and guidance to integrate AI into your planning, decision-making, and delivery processes. The power lies not only in the theory but also in applying it to your organisation.
One shared base and language
We ensure that everyone works with the same concepts, frameworks and principles, so that conversations between business and technology become concrete more quickly.
Your context as a starting point (no standard cases)
You work with your own organisational issues, so that everything directly connects to your reality.
From insight to sharp choices
You learn how to structure, scope and discuss AI opportunities, so you don’t try to do everything at once — you take the right steps.
Translated into your way of working
We help you translate it into roles, processes, data and governance, in a way that fits your context.
Practical work on workflows and decision-making
Not “AI as a tool”, but: where AI fits in processes and decision-making, and how to set that up safely and pragmatically.
Implementation cadence and next steps
You finish with a concrete cadence: what we do first, who to involve, and what’s needed to sustain momentum.
We work exclusively with trainers who have real transformation experience. We combine AI-Native with years of experience in agile transformation and organisation development — no standalone AI tricks, but a story that fits your situation.
For leaders and teams who want to move beyond AI experiments
Business unit leaders, product-owners, service-owners who want to use AI to increase propositions, customer value and revenue.
HR, finance, operations, support and enablements who are looking for more efficient workflows, less manual work and fewer errors.
Change agents, managers & consultants who must prioritise, guide and secure AI initiatives in the organisation.
In our conversations, we keep hearing the same two gaps: a Skills Gap and a Value Gap.
Two courses, one AI-Native playbook. With AI-Native Foundations and AI-Native Change Agent, you will build both the skills if the structure To scale AI impact.
Your workforce cannot deliver AI results if they don't know how to work with AI effectively.
AI tools are changing daily. The real challenge is building the thinking and the skills to use those tools productively, safely and purposefully.
Employees learn tools, but not transformation.
AI literacy ≠ AI fluency: basic knowledge is there, but application in work processes is not yet successful.
Leaders lack a clear framework to operationalise AI in real workflows.
Close the Skills Gap: use AI as a real force multiplier.
Foundations helps teams go beyond prompt tutorials and integrate AI into their daily work.
After these 2 days, you can:
Clearly explain the basic concepts of AI and GenAI to colleagues.
Write effective, safe prompts and critically assess AI output.
At least one in-house workflow redesign with AI (improve time, quality or risk).
Create a personal 30-60-90 day action plan to structurally embed AI in your work
AI initiatives start everywhere, but scale almost nowhere.
Many organisations are stuck in proof-of-concept purgatory: people are testing AI in silos but not getting it across departments. The missing ingredient? A system that streamlines business processes, data and decisions so that AI achieves consistent and measurable results.
Pilots do not scale due to lack of integration in processes and systems.
Value is measured in retrospect rather than designed in advance.
Innovation happens in loose pockets, not as part of a supported AI platform and operating model.
Break out of pilot purgatory: lead AI transformation at scale.
Change Agent is a leadership lab for people who not only want to participate in AI projects, but they want to lead - from initial idea to widely implemented solution.
Identify, prioritise and translate AI opportunities into concrete business cases.
Working with multidisciplinary teams on discovery, experiments and MVPs.
Design real measurements of value instead of evaluating “by feel” afterwards.
Securing AI initiatives in processes, governance and operating model.
An online conversation (30-45 min) with our AI team to understand your situation, ambitions and target audience.
Together we will decide whether you start with open training, in-company, Foundations only, Change Agent only or a combination
Participants attend the training, work on real workflows and we help you to create an AI-Native blueprint and follow-on growth map from this.
We know you want to become a future-ready, AI-Native organisation — one that doesn’t just use AI, but embeds it structurally in how you plan, decide and deliver.
To get there, you need more than inspiration or isolated tools. You need an approach that fits your organisational context, with AI-capable teams and decisions you can explain, repeat and continuously improve.
The challenge is that many organisations already know they want to become AI-Native — but the real question is how to organise it. As a result, AI initiatives often get stuck in pilots and experiments, while teams lack a shared language, clear guardrails, and a workable translation into daily workflows. That leads to fragmentation, uncertainty about value and risk, and a lack of clarity on what the next step should be.
We believe it’s not OK that organisations invest so heavily in AI technology while people, processes and performance don’t evolve alongside it. The difference isn’t made by the tool, it’s made by how you embed AI into the work and into decision-making.
We understand how overwhelming AI can feel: new tools, internal initiatives, and pressure from leadership and customers to move faster. That’s why, as a certified AI-Native partner of Scaled Agile, we work with a proven playbook and official training (AI-Native Foundations and Change Agent), delivered by trainers with real transformation experience.
Here's how we do it:
We start with an AI-Native intake. We clarify your context, ambitions and biggest opportunities.
We choose the right path together. Foundations, Change Agent and/or an in-company programme, aligned to how you work.
We work from your reality: Shared language, concrete choices, workflows and next steps. And we help you build an AI-Native blueprint where people, processes and performance reinforce each other, so AI-Native lands faster and sticks.
So, book an AI-Native intake, and we’ll determine the best next step together.
In the meantime, you can download the AI-Native brochure to see how the AI-Native playbook helps you make choices that fit your organisation, and which roles need which training.
So you can stop running disconnected pilots and fragmented initiatives, and instead build an AI-Native organisation where AI contributes daily to better decision-making, higher productivity and lasting competitive advantage.
The path to becoming AI-Native is a strategic priority for organisations that want to continue to grow in the future.
What truly AI-Native organisations are able to do
AI-Native organisations don’t just use AI, they can organise it. They make better decisions, embed AI into day-to-day delivery, and gain control over value, risk and scaling.
Integrate AI into daily workflows instead of running isolated tool experiments
Scale AI initiatives from team level to organisation-wide adoption
Make business value measurable by designing goals, metrics and evaluation up front
Build AI capability structurally (language, habits, skills) so it doesn’t depend on a few individuals
Set up responsible, workable governance with clear guardrails for roles, decision-making and accountability
We help you build an AI-Native blueprint where people, processes and performance reinforce each other, so AI-Native lands faster and sticks across your organisation.
Read our blogs
In this episode of Connected Conversations, Judith van Hoof and Sukie Kang take you to the SAFe & AI Summit in Amsterdam. Together with Maarten Sterrenburg — CFO of Connected Movement and Agile Transformation Partner — they explore why this…
Why AI delivers value only when leaders move the system along AI promises speed, efficiency and a new wave of productivity. Copilots, agents and assistants are appearing everywhere, taking over tasks, generating code and streamlining processes. And fair is fair: it works. Developers are writing code faster, teams are automating repetitive tasks...
From AI Literate to AI Native Introduction In this episode of Connected Conversations, Judith van Hoof and Sukie Kang engage with Karnoe Dorenbos, Agile Transformation Coach and Trainer at the Ministry of Defence and associated with Connected Movement. Together, they explore the rapidly changing landscape of Artificial Intelligence...
The core difference: organisational transformation, not individual upskilling
Most AI training platforms (Coursera, Udemy, LinkedIn Learning) do what they're built for: help individuals learn specific tools fast, often through self-paced content. That's useful when you need tactical upskilling.
AI-Native is built for a different result: organisational capability that holds up when tools, vendors and features inevitably change.
Most AI training delivers:
AI-Native delivers:
The structural difference
We're not here to teach “how to use ChatGPT” or “how to prompt Claude”.
We teach you how to evaluate any AI capability, embed it into planning, decision-making and delivery, and adapt as the landscape shifts.
The outcome difference
After most training, individuals improve - but organisations often don't. Teams still struggle to work across roles, integration stays messy, and capability fades the moment the tool changes.
After AI-Native, teams gain a shared language, leaders can make repeatable choices about adoption and governance, and the organisation can keep moving as new AI capabilities emerge (because they will - continuously).
The positioning difference
We're not competing with tactical training. We sit above it: the layer that helps transformation leaders decide what to train, where to apply it, and how to build organisational muscle that lasts.
If tactical training is learning the recipe, AI-Native is learning how to run the kitchen.
You don't have to choose. We actively encourage using both.
The free AI learning landscape is genuinely strong. YouTube, Coursera, OpenAI Academy and many others offer great resources for learning specific tools and techniques - and we use plenty of them ourselves.
But here's what transformation leaders keep running into: teams complete courses, collect certificates, and still struggle to work across roles and embed AI into real workflows. The content isn't the issue. Integration is.
Most free training is optimised for individual upskilling: watch videos, learn a tool, get certified, move on. Perfect for tactical learning. But organisational transformation needs a different engine:
That's the strategic layer AI-Native provides.
Think of it like this:
We're not competing with free or tactical training. We sit above it: helping you decide what to train, when to train, how to integrate it, and how to build capability that compounds over time.
The short answer: That's exactly why you invest in AI-Native, not in tool-specific training.
The reality
AI tools will keep changing. ChatGPT today isn't what it was six months ago. Claude evolves fast. New models and features arrive constantly. And your organisation may switch vendors next quarter.
So the question isn't “Which tool should we learn?”
It's “How do we keep making good decisions as the tool landscape shifts?”
The difference that matters
What AI-Native teaches
Not “how to use ChatGPT” or “how to work with Claude”, but how to:
The outcome
When a new model drops or you switch vendors, AI-Native teams don't need to start over. They already know how to ask:
That's strategic fluency. And it doesn't go out of date.
Bottom line
Tool training = an expensive loop of obsolescence and retraining
AI-Native = durable organisational capacity that keeps adapting
Judgement doesn't become obsolete. Platforms do.
Short answer: The landscape isn't settling, it's accelerating. Waiting doesn't preserve optionality; it compounds deficit.
WHY THIS MATTERS:
The impulse to wait feels prudent. The tools are changing fast. No one wants to invest in training that's obsolete by deployment. We understand that concern completely.
But here's what's actually happening:
WHAT AI-NATIVE PROVIDES:
We're not asking you to bet on specific platforms (those will change). We're asking you to invest in durable strategic capacity, the ability to evaluate emerging capabilities, integrate intelligently, and adapt when the landscape shifts.
THE REAL QUESTION:
Not "Is AI mature enough?" but "Will we have built the fluency to use it well by the time its strategic importance becomes undeniable?"
THE BOTTOM LINE:
Six months from now, you'll either be six months ahead (teams practicing, capability building) or six months behind (watching competitors who started earlier). That gap compounds quickly.
The cost of premature investment is bounded. The cost of delayed capability building is strategic.
Now is when you start.
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