Buyer proof packet
This packet gathers the strongest public proof materials in one place: the sample report, one-page buyer sheet, FAQ, 72-hour process, readiness checklist, and a short evaluation note for deciding whether the audit is worth a scoped conversation.
No payment link is on this page. The current public site does not collect payment, book a call, or require private customer data. The audit begins only after workflow, scope, payment, and safe starting materials are confirmed.
What the packet proves
Review path
Each asset answers a different buying question. The goal is practical clarity, not pressure to buy software or commit to automation.
| Buyer question | Review this | What to look for |
|---|---|---|
| What does the finished output look like? | Sample Payback Map report | Ranked payback map, AI readiness, oversight rules, first pilot ticket, prompt/SOP starter pack, and 30-day plan. |
| Can I understand the offer quickly? | One-page buyer sheet and PDF sheet | Price, timeline, included deliverables, exclusions, prep time, and report-usefulness guarantee boundary. |
| What happens before the audit starts? | Buyer FAQ | Scope confirmation, payment timing, safe materials, data boundaries, and when the 72-hour clock starts. |
| How does the 72-hour process work? | Service details and process | Intake, mapping, scoring, report build, quality review, and handoff path. |
| What should I gather? | Audit readiness checklist | One workflow, rough volume, current tools, redacted examples, and human approval boundaries. |
Evaluation note
What the $299 audit should produce
Current steps, owners, tools, queues, delays, and handoffs.
Where time, follow-up, rework, or owner attention leaks.
Repeatability, data quality, revenue proximity, review clarity, tool readiness, and risk.
Three to seven practical improvements scored by value, effort, confidence, complexity, and risk.
Approval checkpoints, escalation rules, exceptions, and customer-facing boundaries.
Trigger, inputs, output, owner, acceptance criteria, risk controls, and measurement plan.
Decision checklist
The packet should make the next step feel concrete, safe, and narrow. If the sample report feels too broad or the workflow cannot be safely described with redacted examples, pause and gather better inputs first.
The buyer can name the workflow and the owner responsible for it.
The buyer can share enough context without exposing private customer data.
Customer-visible, financial, schedule, refund, or exception decisions remain reviewed.
If the sample report feels useful, the workflow repeats often enough, and safe starting materials are available, Payback Map is a low-scope way to decide where AI should help first while people keep accountability for customer-visible decisions.