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AI Learning Over Time • Cohort-Based

Cohorts and Workshops

These offerings are designed for groups who want to build practical AI capability together over time—using a repeatable, outcomes-focused approach. Explore the options below, then visit each class page for the full details.

  • Team Activation — align on goals, tools, and guardrails.
  • AI Audit — assess readiness, risks, and highest-value use cases.
  • AI + Scrum Cohorts — build habits across roles with hands-on practice.
  • AI for Scrum Teams — practical, role-based workflows your team can adopt.
Tip: If you’re not sure where to start, choose AI Audit first—then map a cohort plan from the findings.

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24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

Author: Rod Claar  /  Categories: AI Learning Path  / 

What AI Can Do for Scrum Teams

AI is strong at pattern recognition, language generation, and summarization. In a Scrum context, that translates into:

1. Support Scrum Events

  • Draft Sprint Goals from backlog themes

  • Summarize Daily Scrum updates

  • Generate retrospective prompts

  • Propose facilitation structures

2. Improve Backlog Quality

  • Rewrite vague Product Backlog Items into clearer user stories

  • Suggest acceptance criteria

  • Identify missing edge cases

  • Propose test scenarios

3. Accelerate Discovery

  • Generate alternative solution approaches

  • Compare implementation patterns

  • Surface risks and dependencies

AI reduces mechanical effort.
It does not replace stakeholder conversations or empirical inspection.


What AI Cannot Do

AI does not:

  • Understand your organizational politics

  • Own product strategy

  • Make trade-off decisions

  • Replace stakeholder validation

  • Create team alignment

Scrum is built on transparency, inspection, and adaptation.
Those require human judgment.


Framing AI as a Teammate

Instead of asking:

“Can AI do this for us?”

Ask:

“How can AI prepare us to make better decisions faster?”

That shift preserves:

  • Collaboration

  • Accountability

  • Empiricism

AI becomes a preparatory tool—not an authority.


Exercise: Draft Your Team’s AI Usage Policy

Have the team write a three-sentence policy that answers:

  1. What will we use AI for?

  2. What will we not use AI for?

  3. What must always be reviewed by a human?

Example structure:

We will use AI to draft backlog items, summarize discussions, and explore implementation options.
We will not use AI to make product decisions or replace stakeholder conversations.
All AI-generated requirements, estimates, and architectural suggestions must be reviewed and approved by a team member before use.

Keep it simple.
If it cannot fit in three sentences, it is not clear enough.


Outcome of This Step

When completed, your team should:

  • Share a common mental model of AI’s role

  • Reduce fear of replacement

  • Prevent over-automation

  • Protect accountability

Scrum depends on human collaboration.
AI should strengthen it—not substitute for it.

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