Why Scoping Fails
The most common mistake: defining the AI solution before understanding the workflow. 'We need a chatbot' is not a scope. A scope answers: what decision does the AI make, what data does it use, and what happens after it decides?
Our 48-Hour Framework
Day 1 — Workflow Mapping (4 hours) Walk the manual process end to end. Document every step, every decision point, every handoff. Record it.
Day 1 — Data Audit (2 hours) What data exists? Where does it live? Is it clean? AI is only as good as its training signal.
Day 2 — Agent Design (3 hours) Map the workflow steps to agent roles. Define inputs, outputs, and confidence thresholds for each agent action.
Day 2 — MVP Definition (1 hour) What is the smallest version that proves the value? Build that first.
The Output
A two-page document: the workflow diagram, the agent design, the data requirements, and a prioritized build list. That's your scope.