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Get Started With AI in Requirements Management

Leverage AI to improve your requirements practices, not replace them.

The first big challenge is how to get started. There are tools and vendors that offer significant benefits to productivity, but organizations don’t know how to use them to their advantage.

With things moving so quickly, organizations may throw a lot of time, money, and effort at AI to keep up with competitors. If they don’t begin by defining how they plan to use it or what needs they hope to address, these resources are ill-spent.

There is always the fear that AI will get rid of all jobs in any category that it moves into.

Our Advice

Critical Insight

Requirements management will always need the human element. AI creates an opportunity where business analysts (BAs) can focus on the activities that matter. If you learn how to leverage AI to automate low-value requirements management activities, you can free up capacity for higher-value work to be done.

Impact and Result

AI doesn’t mean automating everything or that BA roles disappear. Quite the opposite! To thrive, BAs will have to adapt and determine how and when to leverage AI to reduce time and effort spent on low-value tasks, freeing up capacity to focus on higher-value analysis and insights.

Your AI is only as good as the data used to train it. Embedding mature practices in the learning models ensures a high-value, high-quality result. Business analysis has a big role to play in this regard.

There's a right way to approach AI adoption. Charging in without knowing what problem you are trying to solve or the benefits you are looking to achieve wastes time and valuable resources. Embracing AI blindly is as effective as ignoring it altogether.

Get Started With AI in Requirements Management Research & Tools

1. Get Started With AI in Requirements Management Deck – A practical playbook for getting started with AI in your requirements management practices.

Use this research to get started with leveraging AI in your requirements management practices. Understand the risks and benefits of AI as well as AI use cases that can improve quality and time to delivery for your requirements processes, to the delight of your project team members and stakeholders.

2. AI in Requirements Management Executive Communication Template – A practical template for communicating the value of your requirements management AI use cases to your leadership and executives.

Use this editable template to build your case for leaders in your organization. In this template, you'll present the results of the activities in the storyboard: an assessment of your organizational risk and readiness for AI, a list of guiding principles for AI usage, a prioritized list of use cases, and a planned AI project.

3. AI in Requirements Management Accelerator Workbook – A supporting tool that helps you assess your current state and build the case for leveraging AI in requirements management.

The workbook includes the source material and templates for many of the blueprint activities, including: AI Risk Assessment, AI Readiness Assessment, Gap Analysis, AI Guiding Principles, and AI Use Case Prioritization.

Workshop: Get Started With AI in Requirements Management

Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.

Module 1: Pre-Work

The Purpose

  • Set the context to assess the risk tolerance and readiness of the organization to integrate AI into their requirements management practices.

Key Benefits Achieved

  • Have a baseline of how ready your organization is to leverage AI.




Complete the AI risk assessment.

  • A completed AI risk assessment

Complete the AI in requirements management readiness assessment.

  • A completed AI readiness assessment

Module 2: Build the Case for AI

The Purpose

  • Lay the foundation for AI usage, discussing the pros and cons, costs and benefits, and excitement and fears for this new way of working.

Key Benefits Achieved

  • A review of the risk and readiness assessments
  • An understanding of the current state of the organization from a people, process, and culture perspective




Review your business context.

  • An understanding of how AI aligns to organizational attitudes toward risk

Understand the impacts of AI in requirements management.

  • Recognition of initial readiness of AI adoption and any significant gaps.

Discuss fears associated with new technologies.


Explore the risks associated with AI.


Discuss organizational readiness for AI.

Module 3: Define Your Future State

The Purpose

Support building the bridge from the current state to the future state.

Key Benefits Achieved

  • Exploring AI use cases for requirements management
  • Exploring tools to help solve problems or enable opportunities




Discuss current gaps in your organization.

  • A defined set of guiding principles for AI usage

Define your AI guiding principles.

  • A list of AI use cases

Explore potential AI use cases.

  • A list of potential AI tools

Prioritize AI use cases.

  • A selected AI project

Discuss available tools.


Select your pilot project.

Module 4: Prepare for Your Pilot

The Purpose

Put the pieces in place for your team to prepare to run its first pilot project.

Key Benefits Achieved

A shared understanding of team needs and composition, timelines, and success criteria




Assemble your executive communication deck.

  • A completed executive communication deck

Discuss your project team composition.

  • A pilot project timeline and success criteria

Define your pilot project timelines.

  • A pilot project timeline and success criteria

Define your project success criteria and hypothesis.

  • A pilot project timeline and success criteria

Planning your next steps.

  • A pilot project timeline and success criteria

Module 5: Next Steps and Wrap-Up

The Purpose

Complete deliverables so that you are ready to run your first AI pilot project.

Key Benefits Achieved

A document to communicate with executives about the value and benefits of AI in requirements management




Complete in-progress deliverables from previous four days.

  • Completed executive communication deck and deliverables

Set up review time for workshop deliverables and to discuss next steps.

  • AI roadmap for requirements management

Leverage AI to improve your requirements practices, not replace them.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Need Extra Help?
Speak With An Analyst

Get the help you need in this 3-phase advisory process. You'll receive 8 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Make the case for AI in requirements management
  • Call 1: Scope requirements, objectives, and your specific challenges.
  • Call 2: Discuss current attitudes toward risk with AI.
  • Call 3: Discuss your AI readiness.

Guided Implementation 2: Define your requirements management AI future state
  • Call 1: Identify AI gaps in data, governance, executive support, team capabilities, and alignment to strategy.
  • Call 2: Discuss your AI guiding principles and usage policies.

Guided Implementation 3: Build and deploy a requirements management AI pilot plan
  • Call 1: Discuss and prioritize use cases.
  • Call 2: Select and plan your AI pilot project, and define success criteria.
  • Call 3: Summarize results and plan next steps.


Vince Mirabelli


  • Emal Bariali, Business Architect & Business Analyst, Bariali Consulting
  • AJ Hawley, Founder, Trendsparency
  • Fabricio Laguna, Professional Speaker, Consultant, and Trainer,
  • Christina Lovelock, Business Analysis Leader/Author/Speaker/Coach
  • 5 anonymous contributors
  • 19 anonymous survey respondents
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