Learn How to Use AI to Get More Done as a Business Analyst
Learn How to Use AI to Get More Done as a Business Analyst
AI is already helping developers write code, debug applications and move from ideas to working software faster.
But what about Business Analysts?
Business Analysts work with research, requirements, documentation, processes, stakeholder conversations, data and a lot of information. AI can help with many of these tasks too.
In this free practical webinar, we'll explore how Business Analysts can use AI to reduce repetitive work, speed up analysis and spend more time on the thinking that actually requires a BA.
What we'll explore
Research with AI
Learn how to use AI to gather, compare and synthesise information faster.
Requirements and documentation
See how AI can help turn raw information into structured requirements, user stories, acceptance criteria and other BA deliverables.
Analysis and problem solving
Explore how AI can help you identify patterns, gaps, inconsistencies and possible solutions without handing over your judgement to the machine.
Process and workflow analysis
See how AI can help turn descriptions and messy information into structured processes, workflows and visual models.
Meetings and stakeholder conversations
Learn how AI can help capture conversations, extract requirements, identify decisions and organise follow-up actions.
The BA AI toolkit
We'll also introduce practical AI tools that Business Analysts can start using in their everyday work.
This is not a webinar about AI theory.
It is about putting AI to work.
You'll leave with a better understanding of where AI fits into Business Analysis, what tools are worth learning and how you can start incorporating AI into your own workflow.
Who is this for?
This webinar is designed for:
Business Analysts
Aspiring Business Analysts
Product Analysts
Systems Analysts
Product Managers
Consultants
Professionals who work with research, requirements, processes or documentation
Date: 30 October 2026
Format: Online
Cost: Free
Come with your questions. Leave with practical ways to work with AI.