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Learning Path

Generative AI for Scrum Teams

Who it’s for: Scrum Masters, Product Owners, and Agile teams who want to use Generative AI safely to accelerate planning, facilitation, and delivery.

Outcomes

  • Create sprint-ready user stories faster with AI-assisted refinement (without losing clarity).
  • Run more effective Scrum events using repeatable prompt templates and facilitation checklists.
  • Add lightweight guardrails to reduce risk (data leakage, hallucinations, and inconsistent outputs).

Your Learning Path

Follow these steps to master Generative AI for Scrum Teams

  1. 1

    Understanding AI Fundamentals for Scrum

    Learn the core AI concepts every Scrum team member needs to know before diving into practical applications.

    Do this exercise
  2. 2

    AI-Assisted User Story Creation

    Discover how to use AI to draft, refine, and validate user stories that are sprint-ready and stakeholder-approved.

    Do this exercise
  3. 3

    Prompt Templates for Sprint Planning

    Get repeatable prompt templates to streamline sprint planning, capacity forecasting, and backlog refinement.

    Do this exercise
  4. 4

    Facilitating Scrum Events with AI

    Learn how to use AI to prepare agendas, generate retrospective insights, and capture action items efficiently.

  5. 5

    Building AI Guardrails for Your Team

    Implement lightweight policies to prevent data leakage, hallucinations, and ensure consistent, trustworthy AI outputs.

    Do this exercise
  6. 6

    AI for Product Backlog Management

    Use AI to prioritize backlog items, identify dependencies, and align work with strategic product goals.

  7. 7

    Measuring AI Impact on Team Velocity

    Track how AI adoption affects your team's velocity, quality, and overall delivery predictability.

    Do this exercise

Steps - Free

2 Apr 2026

Is Your Scrum Team AI-Ready? The 2026 Checklist Every Agile Coach Needs

Is Your Scrum Team AI-Ready? The 2026 Checklist Every Agile Coach Needs

AI tool adoption is not the same as AI readiness. Most Scrum teams have developers using Copilot or ChatGPT — but without a shared mental model, visible process integration, or a Definition of Done that accounts for AI-generated work, those individual efforts rarely compound into team-level gains.

This 2026 checklist gives Agile coaches and Scrum Masters a structured framework for evaluating exactly where their team stands. Drawing on 30+ years of software development experience and real-world Scrum coaching, Certified Scrum Trainer Rod Claar breaks AI readiness into five measurable dimensions with 25 specific questions, a scoring guide, and ten quick wins any team can act on immediately — no new tools required.

Author: Rod Claar
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26 Jan 2026

Author: Rodney Claar
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14 Jan 2026

Getting Started with Artificial Intelligence

AI systems learn from patterns rather than explicit programming, making them fundamentally different from traditional coding approaches.

Author: Rodney Claar
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5 Nov 2025

Author: Rod Claar
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13 Oct 2025

Keeping Up With AI is a Struggle — But You Don’t Have To Do It Alone

Keeping Up With AI is a Struggle — Summary

Feeling overwhelmed by AI? You’re not alone. New models and “breakthroughs” land daily, but the goal isn’t to chase every tool—it’s to integrate the right ones, intentionally and sustainably, into your existing Scrum workflow.

The Real Struggle

  • Teams: Pressure to “use AI” without a starting point.
  • Leaders: Noise, uncertainty, and fear of bad investments.
  • Scrum Masters: How to add AI without breaking Agile principles.

From Struggle to Strategy

AI-Enhanced Scrum connects AI directly to Scrum practices so you can:

  • Improve backlog refinement and sprint planning, reducing ceremony fatigue.
  • Turn vague requests into crisp user stories with acceptance criteria in seconds.
  • Automate repeatables (test cases, retro summaries) and free time for creativity.
  • Measure real ROI in hours saved and increased velocity.

Results reported: ~2× faster planning and 30–40% improvement in sprint throughput using these techniques.

AI Won’t Replace Scrum—It Amplifies It

Use AI to spot blockers early, surface patterns across months of work, and accelerate requirements discovery—while keeping human judgement at the center.

Join the Live Program

AI-Enhanced Scrum: Transforming Agile Development with AI
November 5–7, 2025 — Virtual, Live

Register now

Final Thought

Keeping up with AI isn’t about running faster—it’s about running smarter. Scrum teaches us to inspect and adapt; AI gives us sharper lenses to do it. Stop chasing the future and start building it—one sprint at a time.

Author: Rod Claar
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Steps - Members

 
 
✓ Featured Content

Generative AI Videos

A curated playlist of specific YouTube content.

Search Results

16 Apr 2026

17 Jun 2026

Generative AI For Scrum Teams June 17-18, 2026

Generative AI For Scrum Teams June 17-18, 2026
Generative AI for Scrum Teams June 17-18,...
Author: Rod Claar
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20 May 2026

Generative AI For Scrum Teams May 20-21, 2026

Generative AI For Scrum Teams May 20-21, 2026
Generative AI for Scrum Teams May...
Author: Rod Claar
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24 Feb 2026

Step 1: Understanding AI Fundamentals for Scrum

Before using AI in backlog refinement,...
Author: Rod Claar
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24 Feb 2026

Step 2: AI for Product Owners: Turn Customer Feedback...

Customer & Stakeholder Discovery...
Author: Rod Claar
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Upcoming events

Upcoming Training

17 Jun 2026

Author: Rod Claar
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20 May 2026

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2 Apr 2026

Author: Rod Claar
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5 Mar 2026

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2 Feb 2026

Author: Rodney Claar
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10 Nov 2025

Author: Rod Claar
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