Happy customers go quiet.
The work finishes, the customer is pleased, and then nobody asks for the warm intro while trust is highest.
Most small businesses ask for referrals only when revenue gets quiet. This system watches completed work, identifies high-fit customers, drafts a simple human-approved ask, and tracks follow-up without making the owner sound desperate.
The work finishes, the customer is pleased, and then nobody asks for the warm intro while trust is highest.
Owners either forget, ask too late, or send a generic message that feels transactional instead of useful.
There is no daily list of who is eligible, what to ask for, who approved it, and whether a reply happened.
Completed job, positive reply, paid invoice, repeat order, strong review, or manual “good fit” tag.
The system picks a specific ask: similar business owner, another department, event planner, property manager, fleet buyer, or friend with the same problem.
AI writes a short, customer-specific draft. A human approves anything outbound before it leaves.
Warm intros, pending replies, promised names, and thank-you notes live in one owner-visible queue.
No guarantee of referrals, revenue, or customer response. The audit identifies workflow, timing, templates, and tracking; results depend on customer satisfaction, list quality, and follow-through.
If your best customers would probably introduce you to someone — but nobody asks cleanly — this is a clean $499 audit candidate.
Send the workflow