The work around the work
Preparing meetings. Gathering updates. Rewriting notes. Following up on actions. Necessary work that can crowd out the coaching and conversations your team needs.
Make room for
the work only
you can do.
AI Powered Scrum Master
A practical guide to using AI for better Scrum workflows—and more time for coaching, collaboration and human leadership.
Redefining Agile Leadership Through AI
19 chapters3 learning sectionsPractical prompts & exercises
Your calendar is full.
Your real work is waiting.
You became a Scrum Master to help people do better work. Yet so much of the week can disappear into the work around it.
The same conversations
A story is still unclear. A blocker keeps returning. The retrospective ends with familiar themes. You have information, but turning it into a useful next step takes time.
The pressure to keep up
Another AI tool. Another bold prediction about your role. You want a practical place to start, and a way to judge what is useful for your team.
That is the starting point of AI Powered Scrum Master.
THE IDEA BEHIND THE BOOK
Give your attention
back to your team.
AI can help you prepare, organise and explore. Your judgment gives that work meaning.
This book looks at the everyday practice of Scrum through that lens: how to use AI to make sense of information, ask better questions and reduce repetitive effort, while staying close to the people doing the work.
You will move from understanding AI to applying it in backlogs, planning, daily conversations, reviews and retrospectives. Along the way, you will explore adoption, team trust, data quality and the decisions that need a human hand.
Explore the full book on AmazonWHAT YOU WILL EXPLORE
From the backlog
to the retrospective.
Practical ways to bring AI into the moments that shape your team's work.
Better user stories
Use AI to explore context, expose assumptions and sharpen acceptance criteria. Learn how a clearer prompt can support a more useful refinement conversation.
User stories · Backlog refinement · Chapters 5, 9 & 10
More thoughtful planning
Explore capacity, dependencies and historical information with AI support. Bring possible blind spots into the discussion before the team commits to its plan.
Capacity · Sprint planning · Chapters 10 & 11
Focused daily conversations
Turn scattered updates into a clearer picture of progress. Look for recurring blockers and create more room for the team to coordinate its next steps.
Daily Scrum · Workflow support · Chapter 12
Retrospectives that lead somewhere
Explore different retrospective formats, group feedback into themes and prepare better questions. Keep interpretation and improvement decisions with the team.
Reviews · Feedback · Retrospectives · Chapter 13
Less meeting administration
Understand how assistants, chatbots and agents can support notes, summaries and routine coordination. Consider the fit, limitations and oversight each use requires.
Chatbots · Agents · Meeting assistants · Chapters 14, 15 & 18
A more confident human leader
Think through trust, empathy, responsible adoption and the quality of your data. Develop a deliberate approach to where AI contributes and where your judgment leads.
Human judgment · Adoption · Chapters 6, 16 & 19
THE THINKING BEHIND THE TOOLS
A clearer way to bring
AI into your team.
Three ideas from the book to guide the decisions behind the tools.
01 / THE PICK MODEL · CHAPTER 1
Technology is only
one part of
transformation.
Buying a tool is a beginning. Making it useful depends on the people around it, the systems beneath it, the culture it enters and the knowledge that grows with it.
PICK brings those four elements into one conversation. Select an element to explore a question you can take back to your team.
PPeopleIInfrastructureCCultureKKnowledgeChange
that lasts
that lasts
Start with the people living through the change.
Concerns about confidence, relevance or job security can shape adoption. The book explores communication, involvement and hands-on learning as part of helping people move forward.
Ask your team: “What would help you feel confident trying AI in one part of our work?”
Give good intentions a working foundation.
Tools, access, connected systems and dependable information influence what your team can actually use. The book connects these foundations to the practical needs of Agile delivery.
Ask your team: “What is missing from our tools or data that would make a useful experiment difficult?”
Make room for learning in the open.
A culture of collaboration and experimentation helps people share what works and what fails. AI adoption benefits from the same inspection and adaptation that already sit at the heart of Scrum.
Ask your team: “Can we question an AI suggestion and share an unsuccessful experiment without blame?”
Turn individual discoveries into shared capability.
Useful learning should travel beyond the person who found it. The book considers the information, skills and shared knowledge needed to keep improving as technology changes.
Ask your team: “How will we capture what we learn so the next person starts further ahead?”
A short introduction to PICK. The book develops the model and its practical application in Scrum.
02 / THE AI–HUMAN COLLABORATION METRIC · CHAPTER 6
Find your balance.
Look at a workflow you know well. How much of your energy goes into processing information, and how much goes into the judgment and conversations that follow?
MANUAL WORK
You do the preparation.
You gather, sort and summarise information yourself. Much of your attention goes into getting ready for the conversation.
AI-SUPPORTED WORK
AI helps with a task.
You use AI for a summary, a first draft or a set of questions, then check and adapt the result to your situation.
HUMAN–AI PARTNERSHIP
Your strengths work together.
AI support becomes a considered part of the workflow. You keep responsibility for context, relationships and decisions.
Presented in the book as a way to think about collaboration across a spectrum; this preview does not assign a numerical score.
The useful question: where could AI create more space for your human contribution?
03 / THE AI ADOPTION DECISION MODEL · CHAPTER 16
Where should AI help—and where should you stay in control?
Consider the business value of a task alongside the risk of getting it wrong. A routine summary and a high-stakes product decision deserve different levels of human oversight.
The book uses these two dimensions to help teams discuss the role AI should play. The conversation matters as much as the quadrant.
Explore the thinking in the bookHighRiskLow
LOW VALUE · HIGH RISK
Proceed cautiously
Minimal AI use.
Close supervision.
HIGH VALUE · HIGH RISK
Keep decisions human
AI contributes insight.
People decide.
LOW VALUE · LOW RISK
Automate routine work
Explore reducing
repetitive effort.
HIGH VALUE · LOW RISK
Assist with oversight
Use AI support.
Review the outcome.
LowBusiness valueHigh
WHO THIS BOOK IS FOR
If you help teams
move forward,
start here.
You do not need to be an AI engineer to explore these ideas. A curiosity about better ways of working is a useful starting point.
Scrum Masters
Connect AI to your daily practice, from preparing a refinement session to supporting continuous improvement.
Agile coaches & delivery leaders
Use the frameworks to explore adoption, build confidence and shape a more thoughtful conversation about AI.
Product Owners & team leaders
Explore clearer stories, better preparation and ways to bring more useful information into team decisions.
Practitioners curious about AI
Build a foundation before moving into practical examples, prompting techniques and more advanced applications.
TRY AN IDEA BEFORE YOU BUY
A small shift.
A better conversation.
Try this before your next backlog refinement. Start with a fictional or anonymised story and ask AI to identify the questions worth discussing.
The value is in what you do next: check the suggestions, bring them to the team and use them to improve your shared understanding.
A starter prompt adapted for this page from the book's approach to user story development.
A starter prompt
Act as a thinking partner for backlog refinement. Review this user story for clarity. Identify missing context, assumptions and ambiguous acceptance criteria. Ask clarifying questions before suggesting a rewrite. Do not invent requirements. Separate what the story states from what you are assuming. User story: [insert a fictional or anonymised story]
Review the output with your team. Use only information you are authorised to share with your chosen AI tool.
Take the next step
with the full book.
Explore the examples, reflection questions and exercises behind the ideas.
A LOOK INSIDE THE IDEAS
Make the connections visible.
A few of the accompanying infographics show how the book connects AI capabilities to the everyday work of a Scrum Master.
INSIDE THE BOOK
19 chapters.
A practical path forward.
Read from the foundations through to advanced applications, or return to the chapter that speaks to the challenge in front of you.
01Foundations of AI in ScrumChapters 1–6
- 01
The Rise of AI as Our Digital Coworkers
Explore the shift from tools to digital coworkers and the four elements of PICK.
- 02
Introduction to AI in Scrum
Connect AI to Scrum roles, continuous improvement and the human element.
- 03
AI’s Role in Scrum: Enhancing Decision-Making and Team Dynamics
Consider where AI can contribute to decisions and team working.
- 04
Types and Applications of Artificial Intelligence
Build a foundation in AI concepts and their practical applications.
- 05
AI Impact on Scrum Environment
Explore user stories, Jira and the wider effects of AI on Scrum workflows.
- 06
The Evolving Role of Scrum Master with AI
Look at collaboration, adoption and the AI–Human Collaboration Metric.
02The Power of Generative AIChapters 7–9
- 07
Understanding Generative AI
Understand generative AI, prompting and the possibilities these tools introduce.
- 08
ChatGPT: The Shape Shifter in AI Tools
Explore different prompting styles and the ingredients of a useful prompt.
- 09
Practical Applications of ChatGPT in Scrum Mastery
Connect prompting techniques to situations in Scrum practice.
03Advanced Applications and the Future of AI in ScrumChapters 10–19
- 10
Leveraging AI for Advanced Backlog Management
Explore how AI can support the organisation and refinement of backlog items.
- 11
Leveraging AI for Enhanced Sprint Planning and Capacity Estimation
Consider capacity, historical information and the need to validate recommendations.
- 12
Using ChatGPT for Daily Stand-Ups and Streamlining Scrum Master Workflows
Explore summaries, recurring blockers and the way teams share progress.
- 13
Enhancing Sprint Reviews and Retrospectives with AI
Prepare reviews, explore retrospective ideas and consider inclusive feedback.
- 14
Integrating AI Chatbots in Scrum: Enhancing Team Efficiency and Collaboration
Look at team knowledge, chatbot use and the considerations around implementation.
- 15
AI Agents in Scrum: Transforming Team Efficiency and Decision-Making
Explore agents and their potential role in supporting connected workflows.
- 16
The Human Edge in Agile
Examine judgment, data quality and the value/risk model for AI adoption.
- 17
Leveraging ChatGPT for Endless Prompts in Agile Workflows
Develop and adapt prompts to the context of your Agile work.
- 18
AI-Powered Meeting Assistants: Revolutionizing Scrum Collaboration and Efficiency
Explore transcription, summaries and practical integration considerations.
- 19
Overcoming Challenges and Future Trends
Reflect on adoption challenges, responsible use and future possibilities.
Also includes an introduction, conclusion, glossary, reflection questions and practical exercises. Chapter descriptions are brief summaries.
See the book and available editions on AmazonPUT YOUR READING TO WORK
Start with one useful change.
You do not need to redesign your team's entire way of working. Use this simple reading approach to turn an idea into a conversation, then an experiment.
Choose a recurring friction.
Pick something specific: unclear acceptance criteria, time spent preparing notes, or feedback that is difficult to organise. Name the problem before choosing the tool.
Read with that problem in mind.
Find the relevant chapter. Adapt a prompt or exercise to your context, agree the boundaries with your team and decide what a useful result would look like.
Inspect what actually helped.
Did the experiment improve clarity, reduce effort or create a better discussion? Keep what helped, adjust what did not and share the learning with your team.
A NOTE FROM THE AUTHOR
Written from the work.
For the people doing it.
Gaurav Rajwanshi
My journey has taken me from developer and engineer to Scrum Master, coach, consultant and transformation leader. Along the way, I have seen how much time capable people spend on administrative work that pulls them away from helping their teams.
I wrote AI Powered Scrum Master in 2024 as my first book, to help practitioners explore what AI could make possible in their everyday work.
The heart of the book is a practical question: how can we use these capabilities to create more space for judgment, empathy, coaching and meaningful collaboration?
“AI is here to augment the art and science of servant leadership.”From the preface of AI Powered Scrum MasterMore about Gaurav
BEFORE YOU TURN THE FIRST PAGE
A few questions,
answered.
Everything you need to decide whether this book is right for you.
Ask Gaurav a questionDo I need a technical background?
The book begins with AI foundations before moving into practical Scrum applications. It is written for practitioners exploring how to use AI in their work; you do not need to build an AI model to engage with the core ideas.
Is this only for Scrum Masters?
Scrum Masters are the primary audience. Agile coaches, delivery managers, Product Owners and team leaders may also find the workflows and adoption frameworks useful, particularly if their role involves collaboration and continuous improvement.
What makes the book more than a list of prompts?
Prompts are part of the practical material. The book also explores the PICK model, the balance between AI and human contributions, and business value and risk in adoption decisions. These give you a way to think about which tools and techniques fit your context.
Are the tools still relevant if the book was written in 2024?
Specific products, interfaces and features change. Read the tool examples in their 2024 context and check current capabilities before using them. The book's broader focus on clear questions, human judgment, team learning and thoughtful adoption can help you evaluate newer tools too.
Does the book include practical exercises?
Yes. The manuscript includes prompt examples, reflection questions and exercises across the chapters, alongside discussions of how AI can support Scrum workflows.
Where can I buy it, and what does it cost?
Buy through the Amazon listing. Amazon displays the current price, available formats, delivery options and availability for your location.
Do I need to sign up here before buying?
No. Every “Buy on Amazon” link takes you straight to Amazon in a new tab. You can check the details there and complete your purchase through your Amazon account.
Can I read reviews or discuss the book with my team?
You can read customer reviews on Amazon. For a team reading group, start with a shared challenge and use the chapter reflection questions to guide your discussion. For enquiries, contact Gaurav.
AI POWERED SCRUM MASTER
Bring a little more possibility
to your next sprint.
Explore the ideas. Try one useful change.
Make more room for the people you lead.
Current price, formats and delivery details are shown on Amazon.