What’s your AI workflow as a Business Analyst? Looking for real-world examples
I’ve been experimenting with AI quite a lot lately, and I feel like most discussions stop at:
“I use ChatGPT to write user stories.”
There has to be so much more than that.
I’m curious how experienced Business Analysts are actually using AI in their day-to-day work.
Not the marketing demos.
Not the “Top 10 prompts” articles.
Your real workflow.
For example:
- 📋 Requirements gathering
- 🎙️ Meeting transcripts & analysis
- 🔍 Asking better questions
- 🧩 Breaking down complex problems
- 📖 Understanding legacy systems
- 🔌 API analysis
- 📊 BPMN/UML/sequence diagrams
- 🧪 Test scenarios
- 📝 Documentation
- 🎯 Stakeholder communication
- 🤝 Sprint planning
- …or something completely unexpected.
Some questions I’d love to hear your thoughts on:
- Which AI tools do you actually use every day?
- What’s the single biggest time saver?
- What’s one workflow that completely changed how you work?
- Have you built your own prompts, templates or knowledge base?
- What have you tried that sounded great but turned out to be useless?
- If you had to teach another BA only three AI workflows, which ones would you choose?
I’ll happily summarize everything that comes out of this discussion into one practical list for everyone.
Let’s steal each other’s best ideas. 🚀
u/jaromyrr — 1 day ago