Business Analysis for AI Transformation

So, you've been assigned to your first AI-automation project. Maybe your customer support team plans to rely on an AI-support agent to ease the volume of incoming calls, or your operations team wants an AI solution to help route internal processes, or the delivery service needs help with order dispatching...

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What seems like a standard business analysis problem (identify the needs, elicit requirements, scope the solution, and ensure it works) becomes tricky once you introduce a new piece of technology for your project, not to say get involved into helping your organisation embark on the journey of its wide-scale adoption.

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This course is designed to turn you into that essential Business Analyst who can translate business problems into functional, ethical, and high-quality business solutions powered by AI. You will learn the power and limitations of modern AI technology, develop skills to define requirements for different types of AI automation, learn how to support AI-strategy development, and perform change management needed to embed AI.

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AI is a powerful tool and has a lot to offer, but it is up to us to harness that power and put it into good use.

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During the training, we will explore 3 case studies: 

• Scoping an AI solution to support doctors in a hospital's Emergency Room with patient triage - we will use this case study in theoretical lessons to learn how to use the requirements canvas to elicit different types of requirements.

• During our practicum, we will review a real life implementation of an AI solution that improves the quality of software requirements as part of software development lifecycle - implemented using Rovo, Jira, and Confluence; orchestrated via Atlassian Flow Automation.

• And as a part of your assignments you will elicit requirements for and assess the preparedness of an AI solution helping a financial organisation investigate potential fraud.

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Who this course is for:

• Business analysts working on AI projects

• Change managers supporting AI transformation

• Business managers and leaders in charge of AI transformation

• Product owners taking over AI products

• Project managers responsible for AI automation projects

• Anyone who is genuinely curious about AI and AI application to business

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​Reading Materials

You’ll also get a curated collection of links to relevant articles, case studies, and blog posts, so you can explore further on your own terms.

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By the end of this course:

You will be well equipped to perform business analysis and manage a backlog of requirements for a solution that has AI elements in it. By learning from a combination of video lessons, articles and industry resources, you will know which questions to ask and what to pay attention to so you cover both technical and organisational elements of an AI transformation.