01 / The business decision
Start with the operating question, not the feature list.
A controlled sequence from recorded discussion to transcript, meeting minutes, draft requirements and human validation.
Technology becomes useful when the organization can explain what must change in the work itself: who owns a decision, what information is authoritative, which exception requires review, and how the result will be accepted. Without that clarity, a technically correct implementation can still make the wrong process faster.
02 / Questions to answer
Three questions that expose readiness.
01
Which decisions and actions must be extracted?
02
How are ambiguities flagged?
03
Who approves the final requirement?
The answer should be specific enough that business owners, implementation teams and reviewers interpret it in the same way. Record assumptions and unresolved exceptions before they turn into configuration decisions.
03 / A practical sequence
Move from process clarity to controlled implementation.
- Diagnose. Observe the current workflow, including informal workarounds and duplicate effort.
- Map. Make ownership, inputs, outputs, controls and exceptions visible.
- Redesign. Remove work that does not serve a clear operating or control purpose.
- Implement and test. Configure the system against realistic end-to-end scenarios and expected results.
- Measure. Use operational and financial signals to improve the process after launch.
Key takeaway
AI can reduce documentation effort while the analyst remains responsible for meaning, completeness and approval.