AI-Assisted Business Analysis in Practice: Lessons from Enterprise Automation and Regulated Delivery
When people talk about AI in Business Analysis, the conversation often focuses on tools, prompts, and productivity gains. While these are valuable, they only represent a small part of how AI is actually being used and constrained in real enterprise environments.
In large, regulated organisations, Business Analysts increasingly work at the intersection of automation, compliance, stakeholder trust, and delivery accountability. In these contexts, AI can significantly support analysis work, but it can also introduce risk if used without clear boundaries and judgement.
In this session, we will explore practical lessons from enterprise automation and regulated delivery to understand how Business Analysts can use AI responsibly and effectively in their day-to-day work.
In this session, we will learn the following:
a) where AI can genuinely add value across business analysis activities such as discovery, prioritisation, validation, and assurance;
b) where AI use creates delivery, compliance, or stakeholder risks and how Business Analysts should recognise and manage these risks;
c) how the Business Analyst role is evolving into a critical mediator between automation, technology teams, and governance expectations.
This session is grounded in real delivery experience and focuses on transferable practices that Business Analysts can apply across industries.
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