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Consumer Finance · Credit Repair

Every lead answered in seconds, qualified in the conversation, handed off ready.

A credit-repair company was generating leads faster than its team could personally work them, and the ones that needed a few touches before they were ready were quietly going cold. We put an AI layer on WhatsApp, wired to the CRM: it answers instantly, sorts each lead against the company's own intake criteria, nurtures the not-yet-ready ones with real value instead of a hard sell, and hands warm, qualified leads to a human. A tag turns it on or off for any lead.

< 1 min
First reply to a new lead, any hour, was business hours, if someone was free
3 tracks
Leads auto-sorted, ready, not-yet, needs-info, each onto its own flow
~5 weeks
Build, with ongoing support

What was breaking

The lead flow was healthy. The problem was everything that happened after a lead came in: who answered, how fast, with what, and what happened to the ones who weren't ready to sign on the first conversation.

  • More leads were coming in than the team could personally work, so the ones that needed nurturing, the slow yeses, were the ones most likely to be forgotten.
  • First response depended on someone being free. Fast in the middle of a business day; slow or never on a weekend or at 9pm.
  • Every lead got the same treatment, whether they were ready to start today or needed weeks of education first.
  • There was no structured nurture for the "not yet" leads at all, no value sequence, no check-ins, nothing to bring them back warmer.
  • Conversations lived on personal phones and in inboxes. Nobody else could see the history, and nothing was logged where the team could pick up a thread.
  • There was no clean way for a rep to step into a conversation mid-stream, or to pull the AI back out once a lead was ready for a human.
A lead that goes cold isn't a small loss, it's a lead the company already paid to acquire, walking away because nobody got back to it in time, or nobody had anything useful to say while it warmed up.

What we built

A roughly five-week build, with support after: an AI agent on the company's existing WhatsApp Business number, wired straight into the CRM the team already uses, doing the qualifying, sorting, and nurturing, and handing off the moment a lead is ready.

01

WhatsApp AI agent, wired to the CRM

It answers new leads in seconds, on the company's existing WhatsApp Business number, and it doesn't read like a bot: typing indicators, read receipts, short natural delays, the ability to take several quick messages and answer them as one. Every message mirrors into the CRM, so the conversation is on the record from the first reply.

02

Lead segmentation against the company's own intake form

The agent reads each lead against the qualification criteria the company already uses and sorts them: ready-to-talk, not-yet, and needs-more-information. Each track gets its own flow, so a lead who is ready today goes straight toward a rep, and a lead who needs work goes somewhere that will actually do the work.

03

Value-first nurture for the "not yet" leads

The not-yet leads get a spaced sequence of genuinely useful material, short guides, plain-English explainers, the occasional check-in, instead of a sales push. The needs-info leads get asked for exactly what is missing, then re-scored automatically. The leads most likely to convert later stop being the leads most likely to be dropped.

04

Personalized voice and video, dropped in at the right moments

AI-generated voice notes, optionally cloned to the team's own voice, and short personalized videos, placed in the sequences at the points that actually move a lead. It is the difference between an automated flow that feels automated and one that feels like someone took the time.

05

Tag-controlled handoff, all inside the CRM

A single tag turns the AI on or off for any lead. When someone is ready, the rep takes over the thread with the full history already in front of them; when a lead needs nurturing again, the AI picks back up. No second dashboard, conversations, segmentation, and reporting all live in the one CRM, and the team is trained to run every piece of it from there.

One place to work. The conversations, the lead tracks, the reporting, all inside the CRM the team already opens every day. Nothing new to learn the layout of, nothing happening somewhere they can't see.

Ninety days later

One quarter in, the leads that used to slip through, the after-hours ones, the not-yet ones, the ones nobody had time for, were the ones the system was now built to catch.

First reply to a new lead
hours, business hours onlytounder a minute, 24/7
"Not yet" leads after the first conversation
droppedtoon a value-first nurture track
How leads were routed
one-size-fits-alltoauto-sorted, ready ones handed off warm
Conversation history
personal phones, inboxestologged in the CRM
A rep stepping into a thread
start the conversation overtofull history, one tag
Where the team works leads
scattered toolstoone CRM

What shipped: a WhatsApp AI agent on the existing number wired to the CRM, lead segmentation against the company's own intake form, value-first nurture sequences for the not-yet leads, personalized voice and video in the flows, and tag-controlled handoff between AI and rep, with the team trained to run all of it from one place.

Client identity and internal system IDs are withheld. Figures are drawn from this engagement and vary by deployment, scope, and how much of the roadmap actually gets shipped.

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