Why this decision matters
AI can summarize interviews, identify terminology conflicts, decompose user flows and draft open questions, while accountable business owners still confirm the conclusions.
The goal is not automated requirements. AI accelerates material review and inconsistency detection so people can confirm unresolved items, boundaries and acceptance examples earlier.
Conditions to confirm before development
- Consolidate contracts, interviews, process diagrams and system notes
- Normalize business terms and flag conflicting or missing definitions
- Separate roles, triggers, normal paths and exception paths
- Convert uncertainty into answerable questions and acceptance examples
Implementation and delivery approach
Protect and select source materials, let AI produce a structured draft, then require product, business and engineering owners to confirm each item.
The baseline should retain sources, approvers, change records, prototypes or flow diagrams and linked acceptance criteria.
Acceptance boundary
AI cannot replace client decisions or recover real rules from missing context. Authorized staff must confirm critical workflows and data permissions.