Franchise AI

Find the franchise candidates you already paid for and never worked.

We build the AI behind franchise development: first touch in minutes, follow-up that runs itself, every lead source in one CRM, a dashboard with the full picture, and an AI RevOps Engine that finds the leaks and acts on them.

What happened

We rebuilt what happens after the inquiry.

A franchise consulting firm had leads coming in from Facebook ads, 18 website forms, email and third-party feeds. Good candidates were going cold because a rep was busy or a follow-up never fired.

We put every source into one CRM, added an AI voice agent that calls, qualifies and books, and let the follow-up run on its own. Then we built a dashboard with the full data and pointed an AI at all of it.

Booked appointments went from an average of 89 a month to 163. Show rate went from 32% to 41%.

Read how it was built, and what we don't claim

The AI RevOps Engine answering the question where are we losing money, listing financially qualified leads that never got a meeting, have no owner, or have no consultant assigned.
A real answer from the AI RevOps Engine on one firm's CRM, identifying details removed. This is the engine's output, not an audited figure.

Why this matters

The money is spent the day the lead lands.

Lead costs keep rising, and most of the published data says the first response is where franchise development loses people.

$351

average cost per franchise lead in 2025, up from $271.

2026 AFDR
2%

of franchise leads became signed deals in 2025.

2026 AFDR
28%

of 530 brands never replied to a web inquiry at all.

FranFunnel, 2025
44%

of 102 brands called a mystery-shop prospect.

ServiceScore, 2025

What we built

Five systems, one pipeline.

We built these for the firm in the case study. Your reps keep working where they already work.

Speed to lead

Every new inquiry gets a first touch in minutes. An AI voice agent qualifies the candidate and books the intro call.

How it works →

Follow-up system

Calls, texts and emails keep going until the candidate books, opts out or goes quiet. Nobody has to remember.

The follow-up logic →

All sources, one CRM

Ads, website forms, email, webhooks and third-party feeds land in one place, with a source, an owner and a consent record.

Why it comes first →

A dashboard with the full data

Leads, appointments, referrals and sources by consultant, refreshed automatically, so nobody is building a report by hand.

What we track →

AI RevOps Engine

It reads the CRM, calendars, ads and calls, does every calculation in code, and answers in plain English. It finds the leak, then acts on what your team approves.

What it finds →

The real screens

This is what it looks like.

Screens from the systems we run for the firm in the case study. Client name, people and ad spend are hidden.

Franchise analytics dashboard showing total leads, appointments, conversion rate and confirmed meetings for the last 30 days, with the top rep for each measure.
The live dashboard for one firm, last 30 days. Client name and rep names hidden.
Calling platform analytics showing 1,706 calls, a 42 second average duration, 1,321 millisecond latency and 1,125 successful calls.
AI calling analytics from the voice platform, January to August 2026. One card hidden.
A GoHighLevel workflow called AI Follow Up Call, with branches that update contact fields, wait and move the lead on.
The AI follow-up call workflow inside GoHighLevel.
AI RevOps Engine summary titled The revenue you can't see, listing qualified buyers with no meeting, no-show rate, cost by lead source and unread messages.
What the engine pulled from one firm's CRM. Captured on a different date from the other engine screens, so counts differ. Engine output, not an audited figure.
AI RevOps Engine answering a request for everything on one rep, covering appointments, show rate, conversion, pipeline and new leads.
Asking the engine about one rep. Names replaced by the engine's anonymous labels. Engine output, not an audited figure.
Meta Ads dashboard page showing impressions, clicks and cost per lead, with spend hidden.
Ad data sits next to the pipeline in the same dashboard. Spend hidden.
An n8n workflow on a schedule that pulls appointments per consultant from the CRM and writes them to a database.
One of the scheduled workflows behind the dashboard. It counts appointments per consultant. Names hidden.
A test contact in GoHighLevel with a source tag and an Available Capital field filled in.
A test contact in the CRM. Qualification answers land in fields like this one.

How to start

Small first step. No data needed.

Inquiry teardown

We send one inquiry to your brand, disclosed as research, and show you how fast your team replied against published benchmarks.

Free

CRM leak audit

From an export with no candidate names, we count the people who were never called, got one touch or went stale.

Paid, credited to setup

90-day recovery sprint

We set up the systems, re-work the candidates the audit found, and report what happened every month.

Flat fee

Guardrails

Built for how franchise sales actually works.

Fast is easy. Fast without creating a legal problem takes more work. Read the rules we build around.

  • If someone asks, the AI says it's an AI. It never pretends to be a person.
  • It doesn't discuss earnings or returns. Those questions go to a person.
  • If someone wants a person, the call transfers to one.
  • Audits use an export with no candidate names, under NDA, deleted within 7 days.
  • The engine is read-only by default. Actions wait for your team's approval.
  • It qualifies and schedules. It never sells or negotiates.
  • Flat fees only. Never a cut of a franchise award.

Every new build also opens with an AI and recording disclosure, checks that consent covers AI voice, and only dials inside set calling hours in the lead's local time.

Free tools

How much of your pipeline never got worked?

Drop a CSV export into the leak scanner and see never-worked, one-touch and unowned leads. It runs in your browser, so your file stays with you.

The complete guide

Everything we learned from 5,379 AI calls.

When to call, how many times, the exact prompt, what it costs and what broke. All on one page.

Read the guide

Questions

The straight answers.

What does franchise AI actually do?

It handles the work between a franchise inquiry and an intro call: the first touch, the follow-up, getting every source into one CRM, and showing where candidates went cold. Your development team still has every real sales conversation.

Does this replace our development team?

No. The system qualifies and schedules. It never sells, negotiates or discusses the investment. People do that part.

Which CRMs does it work with?

The case study ran on GoHighLevel, and we also work with HubSpot. FranConnect is a poor fit today because its API is gated and it ships its own AI.

Can the AI call every lead within a minute?

No, and be careful with anyone who says yes. AI voice calls need consent that covers AI voice from your brand, and calls have to stay inside legal calling windows. Portal and broker leads should usually get an instant email and a human call task instead.

Will the AI talk about earnings?

It is built to refuse. Earnings claims belong in Item 19 of your FDD, so earnings questions go to a person.

Was the case study a franchisor?

No. It was a franchise consulting firm working consultant network leads. The same problems show up in franchisor pipelines, but the numbers are from that one firm.

What is the inquiry teardown?

We send one inquiry to your brand, disclosed as research, time the reply and show you where you sit against published benchmarks. It is free and we need no data from you.

Free inquiry teardown

How fast did your team reply to your last inquiry?

Tell us your brand. We'll test it and send you a one-page result.

  • One inquiry, disclosed as research
  • Your reply time against published benchmarks
  • A one-page result you can share with your team
  • No data needed from you

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