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Ready to Transform Your Scrum Team with AI?

Join the Generative AI for Scrum Teams Workshop

Stop wondering how AI fits into your Agile workflow. In this hands-on workshop, you'll learn exactly how to integrate AI tools into every sprint ceremony, backlog refinement session, and delivery cycle—without disrupting the Scrum framework that already works for your team.

What You'll Master:

  • AI-powered user story creation and refinement techniques
  • Automated test generation and code review strategies
  • Sprint planning acceleration with AI assistance
  • Real-world prompt engineering for development teams
  • Ethical AI integration within Scrum values

Perfect for: Scrum Masters, Product Owners, Development Teams, and Agile Coaches who want to boost productivity while maintaining team collaboration and quality.

Taught by Rod Claar, Certified Scrum Trainer with 30+ years of development experience and specialized AI-Enhanced Scrum methodology.

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Step 5: Building AI Guardrails for Your Team

AI can dramatically accelerate Scrum teams—but without guardrails, it can also introduce risk.

Step 5: Building AI Guardrails for Your Team

AI can dramatically accelerate Scrum teams—but without guardrails, it can also introduce risk.

Common issues include:

  • Sensitive data accidentally entering prompts

  • AI hallucinations being treated as facts

  • Inconsistent output quality across team members

Strong teams treat AI the same way they treat code: with standards and review practices.

What to Implement

Start with a few lightweight policies:

1. Prompt Safety Rules

Define what must never be entered into AI tools:

  • Customer data

  • Credentials or security details

  • Proprietary algorithms

  • Confidential roadmap information

2. Verification Rule

AI output should never be accepted blindly. Require:

  • Human review

  • Source verification for factual content

  • Test validation for generated code

3. Prompt Templates

Provide team templates for common tasks:

  • Writing unit tests

  • Creating backlog refinement summaries

  • Generating acceptance criteria

Templates improve consistency and reliability.

4. AI Output Review

Add a quick check to your workflow:

“Would we trust this if a junior developer wrote it?”

If the answer is no, revise it.


Exercise

With your Scrum team, define three AI usage rules:

  1. One rule about data safety

  2. One rule about verification of AI output

  3. One rule about how AI should be used in Sprint work

Document them in your team working agreement.

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