AI-Augmented Scrum Tools

A framework only helps if a team can apply it on a Tuesday afternoon. These tools turn the AI-Augmented Scrum practices into quick, concrete decisions, and they all run in your browser.

From Framework to Decision

The AI-Augmented Scrum Guide explains what changes when agents do real production work. Teams still have to make the changes: deciding which work an agent should take, what "done" now has to mean, and how to learn from a sprint where humans and agents shipped side by side.

Each tool below takes one of those decisions and walks you through it with a short set of questions. They are built to start the conversation your team needs to have, not to replace it.

How to Use Them

Every result is a starting point for your team's judgement, not a verdict. Agents are capacity, not members of the Scrum Team, so the decision and the accountability for it stays with the people. Nothing you enter is sent anywhere.

The Tools

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Tool 01

Human or Agent? Work Router

Not every backlog item belongs to a machine. Answer seven quick questions about an item and get a routing recommendation (human-led, hybrid, or agent-led) with the human verification gate built in.

Open the Work Router →
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Tool 02

Definition of Done Generator

Generate a machine-verifiable Definition of Done tailored to your work type, risk level, and degree of AI involvement, then check it for gates you may have missed.

Open the Definition of Done Generator →
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Tool 03

AI Agent Retro Kit

Enter your sprint's agent data, classify each defect as a requirement, context, or model problem, and leave with a retro agenda and experiments to try next sprint.

Open the Retro Kit →

One Sprint, Three Tools

The tools follow the shape of a sprint. Route the work before it starts, define done so it can be verified, and inspect the outcome at the end so the next sprint starts better configured.

Route the Work → Define Done → Inspect and Adapt

AI-Ready Work Platforms

Your tracker is where agent work gets assigned, reviewed, and measured. These overviews cover six widely used platforms: what their AI features do now, what has changed recently, and how each connects to AI-Augmented Scrum. Details were checked on October 10, 2026; vendors change plans and features often, so confirm on their sites.

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Issue tracking and agile planning

Jira / Atlassian Rovo

AI-assisted issue creation, ticket summaries, backlog refinement, natural-language search, and workflow automation through Rovo.

Read the overview →
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Issue tracking for product teams

Linear

AI-assisted issue descriptions, triage, engineering workflows, and project updates, with agents that work as workspace members.

Read the overview →
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All-in-one work management

ClickUp

AI-generated task summaries, meeting notes, sprint updates, task breakdowns, and reporting through Brain² and Super Agents.

Read the overview →
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Boards, repos and pipelines

Azure DevOps

Work-item management and sprint boards, with AI-assisted development through GitHub Copilot integration for Azure Boards.

Read the overview →
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Story-based project tracking

Shortcut

Story-based project tracking, iterations, epics, and engineering workflows, with the Korey AI agent and agent coordination.

Read the overview →
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Development planning and sprints

monday dev

Development planning, sprint tracking, AI-assisted workflows, and project updates with monday agents.

Read the overview →

Product names are trademarks of their respective owners. AI-Augmented Scrum is not affiliated with or endorsed by these vendors.

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