Generative AI is creating waves in the way we work, significantly revolutionizing the software development process. AI tools are appearing in various phases of software development, such as design, development, and testing. However, there aren't many tools specifically focused on software business analysis tasks.

But with a little creative thinking, we can put "one-size-fits-all" applications like ChatGPT to good use. It can definitely speed up execution of many typical tasks and free up analysts to focus on the more challenging, strategic aspects of the job.

This article is written in a how-to style. It is based on my personal experience and opinions, so it may omit some steps that are common in BPM practice but that I have not encountered in my work. The topic is broad, and each section deserves a separate article. Therefore, if you are interested in a specific topic, please comment, and I will prepare a more detailed description.

This is the first post in a series on Business Process Management (BPM). Having worked as a business analyst and product manager in various companies ranging from middle-sized startups to big corporations, I have observed differences in approaches to business process management - from almost complete disregard to excessive attention. So, I decided to share my views on the topic, why I think BPM is important, especially when a company grows fast and switches from the startup stage to a grown company, and what approach I think might work for a company of average size without involving too much time and resources.