AI automation makes the work look simpler than it is. The tools are capable, the timelines are compelling, and the pressure to move fast is real. What the tools can't account for is the difference between the process everyone assumes exists and the one that actually runs.

That gap is where most automation failures begin. Workarounds, informal exception handling, and cross-team inconsistencies that have been quietly self-correcting for years don't disappear when automation goes live. They get locked into the design.

In our new blog, When the Process That Worked on Paper Gets Automated, we break down why documented workflows break down under automation, what a process map needs to capture before deployment, and how to get leadership to act on what the mapping finds.

In our blog, you will learn:

Build the core skills you need to map real workflows, identify gaps, and deliver value to your stakeholders before problems make it into deployment.

Learn how to develop accurate, reliable process models that capture what's really happening, not just the happy-path version everyone assumes is true.

Discover how to integrate AI into your BA workflow effectively, knowing which tasks it supports and where your direct judgment is still required.

Strengthen your ability to build a strong business case, navigate organizational pressure, and communicate findings in a way that drives real decisions.