Why this matters
Teams often start by selecting models and tools instead of defining business outcomes and constraints.
Recommended approach
Begin with one bounded workflow, define acceptance checks, and map only the dependencies needed for a reviewable first iteration.
Implementation checklist
- Write one-sentence business outcome
- Capture baseline KPI and target delta
- Identify system dependencies and owners
- Set acceptance criteria before coding
Metrics to track
- Time to first production value
- Scope change rate
- KPI lift against baseline
- Stakeholder confidence score
Key takeaway
Great AI delivery starts with clear outcomes and bounded scope, not maximal architecture on day one.