About the course

AI has changed how we work and that isn’t stopping any time soon.  

From prioritizing backlogs to writing code; leaders need to make decisions about when to trust AI outputs, how to challenge AI-generated content and how to support the people whose work is continuing to be affected. 

This one-day tutor-led online course helps you make those decisions while protecting the autonomy and trust your team depends on. You’ll learn how to question AI output, set clear decision boundaries, test its value and lead your people through AI use. 

Through practical exercises, realistic agile scenarios and peer discussion, you’ll apply your learning to your own team. You’ll leave with a Human-AI Team Plan covering responsibilities, an experiment to test AI’s impact and how you’ll communicate the change. 

The course draws on the Agile Business Consortium’s Nine Principles of Agile Leadership, Framework for Business Agility and AgileBA v3. No coding, technical AI knowledge or live AI account is required.

Who is it for?

Agile leaders are found throughout an organization at all levels.

If you help others adapt, learn and deliver value, then ultimately this course is for you.

You will find this course particularly valuable if you are a leader of a team where AI is having impact, including:

  • Agile and delivery leaders
  • Portfolio, programme and change leaders
  • AI adoption, transformation and governance leaders
  • Engineering and technology managers
  • Business analysts

The course is also valuable for Senior executives sponsoring AI adoption, such as CEOs, COOs, CTOs and Chief AI Officers, who want a practical view of what good looks like at team level.

What you’ll learn

Set clear boundaries

Define what AI can do independently, what needs human approval and who remains accountable for its work.

Question AI output

Judge when to trust AI, what its explanations really tell you and when to challenge its recommendations.

Test AI’s value

Design small experiments with clear outcome measures to decide whether to continue, adapt or stop an AI-supported change.

Lead people through change

Communicate AI-driven change, sustain trust and make it safe for your team to question AI and raise concerns.

How is this course structured?

Build the skills you need to understand how AI can be used and support your teams through short agile scenarios in the morning, then apply what you’ve learned to your own team in the afternoon.

Over six hours of tutor-led learning, you’ll develop a practical plan and test your thinking with your peers.

It’s common for people to use different AI tools to estimate, make decisions about what to prioritize and provide strategic direction. However, there is usually a lack of understanding about how the AI tools provide the output.

You’ll learn the risks of overreliance on AI tools, how AI can pull decisions away from teams and the impact of offloading your thinking to AI.

Learn how to distinguish between accurate information and convincing, non-factual slop!

You’ll review AI-generated outputs across different scenarios to critically evaluate when to use AI and what the right questions to ask are based on your role or level in the organization/team.

Think about how AI is impacting you or your team now. Are people comfortable using AI? Do they feel psychologically safe to challenge what AI does?

You’ll explore how to lead in these situations where AI is changing or has already changed the way people work. This includes practising responding to the default comment “AI said so” and examining your team’s “AI Health”.

The first step in applying AI is knowing the limitations of where it should be used and what tasks to delegate to AI tools.

You’ll define the intent, scope and approach of AI use. This includes answering:

  • “What is your outcome?”
  • “Who is your audience?”
  • “How will you use AI?”
  • “When are you going to use AI?”

Agility is all about testing and learning; and AI is agility’s best use case.

You’ll get the chance to turn your own AI adoption idea into a testable hypothesis. This will include designing a small experiment and choosing measures that reveal whether outcomes improve in line with your hypothesis or not.

Finally, you will bring everything together into a practical plan that you can share with your team/organization.

You’ll use everything you’ve learnt from critical analysis, challenging output to boundaries and experimentation to create a human-AI Team Plan.

Gain a Recognized Course Certification

Upon successful completion, you’ll receive a digital certificate from the Agile Business Consortium, globally recognized by employers and professional bodies.

Certificate of completion

Meet your tutor

A black and white headshot photograph of Niamh Trundle

Niamh Trundle

Learning Director, Agile Business Consortium

Niamh leads the design and development of certified qualifications, online courses and facilitated learning programmes. She is also a PhD researcher and visiting lecturer at Kingston University. Her research explores how language shapes human–AI interaction, leadership and organizational agility, informing her lectures on AI and its practical application.

At a glance

Format

Tutor-led online course

Duration

1 day

Learning approach

Practical exercises and peer discussion

Location

Microsoft Teams

Language

English

Need guidance?

Our training advisors can help you choose the right path for your organizational or career goals.

Frequently Asked Questions

The course is delivered live online by a tutor over one day, with six learning hours excluding breaks. You’ll take part in practical exercises, realistic agile scenarios and peer discussion, then apply your learning to your own team.

No coding skills, technical AI expertise or previous qualifications in our frameworks are required. The course is designed for leaders responsible for people, decisions and outcomes in teams using AI or preparing to introduce it.

The course focuses on the leadership decisions that come with AI: when to trust its output, what to delegate, who remains accountable and how to lead people through change. It doesn’t teach prompting or provide tours of specific tools, and you won’t need a live AI account.

No. You can work on an existing or planned use of AI in your team. If you don’t have a suitable example, you can use one of the course scenarios to practise and develop your plan.

You’ll leave with a one-page Human-AI Team Plan covering an AI use in your team, decision boundaries, accountability, an experiment to test its value and how you’ll communicate the change. You’ll refine your plan through feedback and peer challenge.

Yes. You’ll receive a certificate of completion recording six facilitated learning hours. Learning is assessed through practical activities, your team plan and tutor feedback, rather than a formal exam. The course does not award a professional qualification or academic credit.

If you wish to cancel your booking, please refer to our Cancellation Policy and Terms & Conditions, which explain your cancellation rights and any applicable refund arrangements.

If you are booking as a consumer, you can also exercise your statutory right of withdrawal, where applicable, using our online withdrawal form.

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