AI for Agility Learning Program

Empower your Agile teams with AI to move faster, adapt better, and deliver smarter.

The AI for Agility Learning Program helps organizations embed artificial intelligence into their Agile ways of working to accelerate delivery, improve decision-making, and enable data-driven adaptability. Designed for enterprise teams and transformation leaders, this program moves beyond frameworks to show how AI can enhance agility across strategy, planning, execution, and retrospectives.

Practitioner-led. Context-driven. Outcome-focused.

Ideal for Agile coaches, transformation consultants, Scrum Masters, and delivery teams looking to leverage AI to strengthen enterprise agility.

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Trusted By Global Leaders

Program Overview

The AI for Agility Learning Program by NextAgile empowers teams to integrate Artificial Intelligence into Agile ways of working, enhancing speed, precision, and decision-making across delivery processes. This practitioner-led program explores how AI can automate Agile workflows, provide intelligent insights, and elevate team collaboration for higher business agility.

Participants gain deep insights into:

The program blends strategic understanding with practical experimentation—enabling teams to transform from being Agile to being intelligently Agile.

Enterprise Objectives

Program Structure

A hands-on program designed to make AI a practical enabler of agility.

2 Days AI for Agility Workshop Outline

Introduction to Workshop

Participants Introduction
Protocols and Familiarity with tools and exercise

How AI will impact Ways of Working?

AI disruption in Software Development
Introduction to Gen AI and Agentic AI
Leveraging AI for Agility
Accelerate work with AI (Where AI is used )
Save Cost
Data Decision making ( Insights with Data )

Product Discovery with AI Tools

Visioning & Empathy mapping
Creating Personas & Customer Journey Maps
Story mapping to identify depth of the product

Getting a Product Backlog ready using AI

Creating a product backlog
Populating JIRA
Identifying incremental goals and required work items to finish using AI
Custom Definition of Done & Definition of Ready
Estimation using AI with risk analysis & mitigation
Continuous monitoring and reporting using AI - Product level, Sprint level, Daily

Sprint Execution with Automation

Data-driven Sprint & capacity planning
AI contributions in Scrum Events within organization constraints- Sprint Planning, Daily Scrum, Product backlog refinement, Sprint Review and Retrospective meetings using ALMs with AI support
Customer Feedback analysis

Reporting & Metrics

Automating relevant dashboards for greater transparency and measurement
Understanding and analyzing metric reports like Burndown Charts, Velocity Chart , Release burndown chart, Cumulative flow diagram, Control Chart, using automation with AI driven ALM Tools
Using AI for generating customer insights, competitive analysis & historical trends

Agile Lifecycle Management Tools

Other AI benefits in the participant’s context
AI hands-on and simulation for contextual scenarios

Who Should Participate?

Business Outcomes

By the end of the program, participants will

Participants also receive post-program toolkits including

Why Choose NextAgile?

NextAgile combines years of Agile transformation expertise with hands-on experience implementing AI solutions across enterprise environments. Our practitioner-led programs bridge strategy and execution — helping teams move from “talking agility” to delivering measurable impact.

What sets us apart:

Frequently Asked Questions

1. Do participants need technical or AI experience?

No. The program is designed for Agile practitioners and leaders without requiring coding or data science knowledge.

2. Can the learning be tailored for our teams and maturity level?

Yes. We customise examples, tool demonstrations, and hands-on activities based on your Agile maturity and business domain.

3. What kind of tools or platforms are covered?

We explore AI integration within Atlassian (JIRA, Confluence), Miro, Slack, Microsoft Teams, and other common Agile tools.

4. Will participants receive certification?

Yes. Each participant receives a completion certificate from NextAgile, verifying their understanding of AI-enabled Agile practices.

5. How can this help our ongoing Agile transformation?

AI accelerates decision-making, enhances retrospectives, and creates faster feedback loops, enabling teams to achieve outcomes faster and sustain transformation momentum.

6. What kind of post-training support is available?

We provide toolkits, sample use cases, and a consultation session to help you embed AI into ongoing Agile practices.

7. Will this AI for Agility program help reduce dependency on Agile coaches?

Yes , by embedding intelligence into the system, not relying on people to interpret everything manually.

8. How is AI for Agility different from AI awareness sessions?

Awareness explains what AI is.

AI for Agility teaches how AI changes day-to-day Agile decision-making , immediately.

9. Can AI really improve Agile decision-making?

Yes , when used as a thinking partner, not a rule engine.

10. Is AI for Agility applicable to hybrid environments?

Absolutely. It works across Scrum, Kanban, SAFe, and hybrids.

11. Is AI for Agility compatible with Lean and Kanban?

Very much so. AI naturally aligns with flow, waste reduction, and system thinking.

12. Is AI for Agility suitable for early AI adoption?

Yes. It’s a low-risk, high-signal entry point into enterprise AI.

13. Why should organizations invest in AI for Agility now?

Because delivery complexity is increasing faster than human oversight can scale. AI fills that gap.

14. Can AI reduce bias in Agile planning?

Yes , by grounding decisions in data, not loudest voices.

15. Is this program useful if our Agile transformation has stalled?

Yes. AI often reveals why it stalled , and where to unblock it.

16. Will this AI for Agility program help reduce dependency on Agile coaches?

Yes. The program is designed to build internal decision-making capability so teams can independently handle backlog refinement, risk identification, dependency analysis, sprint forecasting, and metric interpretation using AI-enabled support.

Rather than replacing Agile coaches, it reduces reliance on them for routine operational guidance. Coaches can then focus on higher-value transformation work,leadership alignment, systemic improvements, and culture change,while teams operate with greater autonomy and maturity.

17. Does AI for Agility help reduce Agile ceremony fatigue?

Yes. Fewer meetings. Better inputs. Clearer outcomes.

18. Will this workshop help teams spend less time managing tools?

Absolutely. That’s one of the most visible benefits.

19. What will participants be able to do differently immediately after this AI for Agility workshop?

They’ll make faster, clearer, more confident delivery decisions using AI-assisted insights.

20. Do participants need access to real Agile data or tools during the workshop?

Helpful, but not mandatory. We work with realistic scenarios if needed.

21. Will this workshop help teams identify where AI fits into their current Agile ways of working?

Yes , without forcing big-bang change.

22. Can this AI for Agility workshop be effective for mixed-maturity teams?

Yes. AI adapts well to uneven maturity.

23. How should teams prepare before attending the AI for Agility workshop?

Minimal prep:

Basic JIRA familiarity
Openness to change
Willingness to question assumptions

That’s it.

Drive Predictable Delivery Across Your Enterprise

The Agile Estimation & Planning program empowers your organisation to execute work efficiently, optimise value delivery, and create a culture of predictable, value-focused planning across teams and portfolios.

AI for Agility Learning Program

Empower your Agile teams with AI to move faster, adapt better, and deliver smarter.

Trusted By Global Leaders

Program Overview

AI-Augmented Agile Practices

Data-Driven Agility

Real-World Applications