What you will gain
Team facilitation is the practice of helping groups think, decide, and move forward together, especially when the work is complex, uncertain, or emotionally charged.
Modern teams don’t struggle because they lack meetings!
They struggle because time together is fragmented, overloaded, and shaped by hidden dynamics, power, and competing perspectives.
Good facilitation creates the conditions for:
shared understanding
meaningful participation
clear decisions
sustainable action
This course focuses on facilitation as a core leadership and collaboration skill, not a set of tricks for running workshops.
It is designed for managers, team leads, scrum masters, coaches, and anyone who regularly brings people together to do real work.
Participants learn how to:
design and guide collaborative sessions with a clear purpose and outcomes
work skilfully with group dynamics, conflict, and uncertainty
integrate AI as a support for collective sensemaking and decision-making, without losing human judgement or trust
This programme goes beyond traditional “agile facilitation” by addressing how teams actually operate today, i.e. distributed, fast-moving, and increasingly augmented by AI.
The result is facilitation that helps teams use their time together well, make better decisions, and move work forward with greater clarity and ownership.
Learning objectives & outcomes
Participants will be able to:
Design and facilitate collaborative sessions with clear purpose, flow, and outcomes.
Demonstrate a modern facilitation mindset grounded in neutrality, psychological safety, and shared ownership.
Create conditions where diverse voices contribute meaningfully, even in tense or uncertain situations.
Use AI to support collective sensemaking, synthesis, and decision-making in teams.
Facilitate key team and agile meetings with greater clarity, engagement, and impact.
Work productively with conflict and disagreement without shutting down conversation or forcing alignment.
Strengthen team dynamics and trust through visible, intentional facilitation practices.
Reduce wasted time by improving the quality of group thinking, not by rushing decisions or enforcing process.
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LEARNING JOURNEY
The five day learning journey
Day 1 Individual capability and human AI partnership
Start with your own work. Explore how an ongoing relationship with AI can support thinking, learning, and action, and how to retain responsibility for the result.
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Frame a useful task, provide relevant context, and work iteratively with an AI assistant.
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Recognise uncertainty, challenge assumptions, and judge when an answer needs stronger evidence or expert review.
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Set boundaries around memory, confidential information, delegated work, and human decision-making.
Your practical output: A human-AI working agreement setting out purpose, context, responsibilities, boundaries, and checks.
Day 2 Team collaboration
Explore how AI changes the way a team thinks and works together. Examine how facilitation shapes the behaviours AI may amplify, including whose voice is heard and how the team reaches a decision.
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Design collaborative activities that combine human expertise with AI contributions.
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Use facilitation to surface assumptions, disagreement, and missing perspectives.
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Explore changing roles and flexible teaming while keeping capacity, ownership, and shared understanding visible.
Your practical output: A team collaboration design with working agreements, contribution and review roles, and a facilitated activity.
Day 3 Workflows and automation
Follow the work beyond one person or team. Identify where AI can improve the whole flow and where faster production may shift effort or risk downstream.
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Map handoffs, queues, checking, rework, and the decisions that determine value.
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Design a workflow combining human work, AI assistance, and bounded automation, with clear acceptance criteria and recovery paths.
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Identify the context and evidence each next step needs, and measure value alongside tool costs, checking effort, and quality.
Your practical output: A redesigned workflow with automation opportunities, evidence requirements, human review points, and measures of improvement.
Governance and organisational intelligence
Day 4 Enabling constraints and the Proven Trust Envelope
Design governance that helps people know what they can do, what evidence they need, and when to involve someone else. Explore enabling constraints: boundaries that make responsible action possible and clarify accountability.
Work with the Proven Trust Envelope, an approach for defining the conditions within which an AI-supported action can be trusted for a particular purpose. These conditions depend on evidence, context, authority, and controls, and need to be reviewed as those things change.
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Define the intended use, permitted actions, decision rights, evidence requirements, and limits of a bounded use case.
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Distinguish access to information from authority to act, and identify when an action may proceed, needs approval, or must stop.
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Design confidentiality boundaries between individual, team, departmental, and organisational workspaces.
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Explore proportionate pathways for experimentation and operational use, and how governance evidence can support risk and regulatory discussions.
Your practical output: A draft trust envelope and decision record, including permissions, approval triggers, confidentiality boundaries, and review conditions.
Day 5 Organisational intelligence
Bring the whole journey together. Explore how an organisation can use evidence from its work and people's experience to understand what is happening, choose a useful response, and learn whether that response helps.
Examples from Hyphoria illustrate how documents, meeting transcripts, and delivery evidence can be examined through organisational lenses to reveal possible patterns of alignment, friction, and emerging risk. You will consider how people test those interpretations before acting.
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Trace an insight back to its sources and assess the strength, independence, relevance, and limits of the evidence.
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Explore patterns across teams without assuming that information may cross every confidentiality boundary.
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Connect insight to a decision, an owner, an intervention, and evidence of what happens next.
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Develop an initial plan for improving organisational learning and adaptive capacity.
Your practical output: An organisational intelligence and learning plan connecting a question, permitted evidence, interpretation, action, and review.
Together, the five outputs form one practical portfolio showing how your case develops from individual AI use into a coherent way of working and learning.
What you take back to work
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Your five connected practical outputs and an initial plan for applying them.
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Course materials and reusable templates to support conversations, design work, and decisions with colleagues.
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A shared language for connecting individual AI use, collaboration, workflows, governance, and organisational learning.
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Certification proving you can do all of the outcomes for this programme.
What you will need
The course will be run remotely, so you will need your own machine and access to a generative AI assistant. Online participants need a reliable connection and microphone. Check employer restrictions on tools and information, and contact us about any access needs or adjustments.
Optional preparation
Watch Simon's webinar on AI change strategy and the future of AI in organisations, or read Deeper Change: From individual capability to AI-enabled organisational intelligence, particularly its chapters on individual AI use, teams, workflows, governance, and organisational intelligence.
Both are optional. You can participate fully without having watched the webinar or read the book.
Practical and participative
You will learn through facilitated exercises, demonstrations, small-group work, reflection, and discussion. Concepts are introduced through practical situations and applied to the continuing case.
You can bring questions from your own organisation and adapt the learning to your context. Shared exercises use provided examples or information that is suitable to share, so participation does not depend on disclosing confidential organisational material.
One day per week for five weeks: Time between sessions gives you space to notice what is happening in your own workplace, try an appropriate practice, and bring questions back to the group.
2 days
Certification that proves you can demonstrate and apply
This is a certified courses, with practical assessment across the five-day journey. Assessment focuses on your ability to explain your choices, apply the learning to a realistic case, and recognise the responsibilities and limits involved.
Facilitated exercises and discussion provide opportunities to demonstrate understanding and receive feedback. Certification depends on demonstrating the required outcomes.
Meet Your Course Leader
Simon Powers
Founder/CEO
Simon Powers founded The Deeper Change Academy and Adventures with Agile and is the author of Change: A Practitioner's Guide to Enterprise Agile Coaching and Deeper Change. He combines experience in enterprise technology, organisational change, leadership development, and systems coaching with current work on AI-enabled workflows, governance, and Hyphoria. His facilitation helps participants question assumptions and turn ideas into actions they can test.