# Interest-to-Call AI Workflow Map

## 1. Buyer signal appears

Examples: relevant comment, resource request, profile reply, direct question, repeated engagement.

Automation may record the source. A human decides whether the signal matters.

## 2. Context is preserved

Record the person, source post, exact problem language, requested resource, and time.

AI may summarize. It must not invent buyer intent.

## 3. Fit is reviewed

Check audience, offer, business stage, problem, urgency, and whether a useful next step exists.

Scoring can prioritize review. It cannot replace judgment.

## 4. Promised value is delivered

Send the exact resource requested. Make it immediately useful.

Do not gate delivery behind a call.

## 5. One context question is asked

Use the person's own words. Learn what happens in their current process.

## 6. The next step matches readiness

- Browsing: deliver value only.
- Learning: recommend the next resource.
- Problem-aware: offer the first manual fix.
- Implementation-aware: show the workflow.
- Conversation-ready: offer a relevant call.

## 7. The outcome becomes a receipt

Record delivery, completion, reply, booking, attendance, client outcome, and attributed revenue separately.

Do not collapse activity into proof.