How to Elicit AI Requirements for ML Projects: A Step-by-Step Guide for 2026
Eliciting requirements for AI and machine learning projects means systematically uncovering and documenting what the system must achieve, what data it needs, how performance will be measured, and what constraints apply before any model training begins. This process typically takes two to four weeks for a mid-sized ML initiative and requires collaboration between data scientists, domain experts, stakeholders, and end users. Unlike traditional software where requirements are relatively stable, ML projects demand a flexible approach that accounts for data availability, model uncertainty, evolving performance metrics, and ethical guardrails.
Getting requirements wrong costs AI teams dearly. A 2025 …







