C-02Drawer C · Regulated and advisory
A GoHighLevel build for a mortgage brokerage, where a Saturday enquiry gets a call back from an officer licensed in that state before the buyer rings the next broker, and no automated message ever quotes a rate.
Intake is configured around loan purpose, property state, occupancy, contract date and rate-lock expiry, with pipeline stages that follow a file from application through conditions to funding and a separate track for borrowers waiting on rates. That shape suits a brokerage because money is lost in two specific places — the enquiry nobody returned and the condition nobody chased — and both are timing failures rather than skill failures.
Why this build exists
Once it runs
Nine parts, one system
The same nine components ship in every build in the vault. What differs between them is everything below: when each part fires, what it says, and why that is the right behaviour for this trade rather than a neighbouring one.
Purchase enquiries arrive when people are looking at houses, which means evenings and weekends. The receptionist takes the call, establishes purchase or refinance, the state the property sits in, roughly where credit stands and whether there is a contract with a date on it, and offers application times with a loan officer licensed in that state. It never states a rate or a payment; pricing goes to a person.
Somebody on the site at eleven at night wants to know what they can afford and which documents they will need. The chatbot handles the document list, the timeline, what underwriting actually does and what a rate lock means, and hands anything about pricing to a licensed officer. It captures loan purpose, property state and timeline so the callback starts from something rather than from nothing.
The site sets out the loan types the brokerage writes, the states it is licensed in and the process step by step, in the order a first-time buyer asks about it. Pre-approval and application requests are on the page rather than behind a phone number. NMLS identifiers, licensing and the equal housing statement come from custom values so they are current and identical everywhere.
Pre-approvals expire and house hunts stall, and the borrower rarely calls to say so. The outbound caller works the pre-approved list before the letters lapse, follows up applications that stopped part-way through the document chase, and reopens past borrowers when a refinance conversation is worth having. Every call is an invitation to speak to a loan officer, not an offer of terms.
A borrower who funds today may refinance in three years and buy again in seven, and the referral to their sibling is worth more than either. Lifetime nurture keeps the brokerage present with process explanations, annual reviews and market context rather than pricing. Real estate agent partners sit on their own track, because what keeps a referral partner is being told where their buyer's file stands without having to ask.
The application appointment is where a file starts, and one that slips takes a week out of a purchase that has a contract date attached to it. Confirmations go out with the document list, reminders run up to the appointment, and rescheduling is a link rather than a round of phone tag. A missed appointment enters a recovery run built around the 70% no-show recovery the system targets.
Borrowers compare brokers on review count and recency before they make the first call. Harvesting routes the ask to the platforms lenders are actually searched on, and only once the loan has funded. Files that closed late or badly can be held out of the run.
The request fires when the file is marked funded, which is the week the borrower has keys and the process is behind them rather than in front of them. It is one ask with one follow-up. The cadence targets 5–10 reviews a month, which is what a steady closing volume should produce without anybody chasing.
A brokerage's past borrower list is its best asset and the one worked least. Reactivation runs it in defined groups — borrowers above a note rate you nominate, borrowers approaching the end of a fixed period, pre-approvals that expired without a purchase — and invites a conversation without stating terms. The list has already been paid for, which is not true of anything else in the pipeline.
The handover
Thirteen things arrive with a mortgage broker build. Below, each one is set out three ways: the problem it exists to solve here, what changes once it is running, and the route by which it pays for itself. The arithmetic is illustrative and shows its own assumptions.
The problem
A buyer whose offer was accepted on Saturday rings to ask whether the pre-approval still stands, and a voicemail returned on Monday is a borrower who has already called the next broker.
What changes
1 AI Receptionist takes the call, establishes purchase or refinance, the state the property sits in, roughly where credit stands and whether there is a contract with a date on it, and puts the application with a loan officer licensed in that state.
How it pays back
One funded purchase recovered from a weekend call is worth many times what the build costs.
The problem
Website visitors want a number, and a rate put in writing without the disclosures that legally accompany it is a compliance problem rather than a lead.
What changes
1 AI Chatbot handles what it safely can — the document list, how long underwriting takes, what a rate lock is and what happens at closing — and routes every pricing question to a licensed loan officer instead of quoting.
How it pays back
The site produces applications rather than rate shoppers, and nothing goes out that a compliance review has to unpick afterwards.
The problem
A pre-approval, a file in underwriting and a borrower waiting for rates to move are three different jobs, and holding them in one list is how conditions go unchased until closing week.
What changes
Stages follow the loan's real life — enquiry, application taken, credit pulled, pre-approved, contract received, conditions out, clear to close, funded — with rate-watch borrowers on a track of their own.
How it pays back
Files stop stalling with conditions outstanding, and pull-through on applications already taken improves without buying a single new lead.
The problem
Chasing a missing bank statement, a signed disclosure or an updated pay stub is the job, and it is the part that slips when the loan officer is mid-closing on three other files.
What changes
Workflows request each outstanding condition by name, follow up on a schedule, and stop the moment the document lands.
How it pays back
Days come out of the underwriting cycle, and the broker who clears to close first is the broker the real estate agent sends the next buyer to.
The problem
An application appointment that does not happen takes a week out of a file, and in a purchase with a contract date that week is the whole problem.
What changes
Confirmations and reminders go out ahead of the application call with the document list attached, and a missed one enters a recovery run built around the 70% no-show recovery the system targets.
How it pays back
Fewer restarted applications means more files reaching underwriting in the month they began, which is the month the commission lands.
The problem
A first-time buyer, a self-employed borrower and a homeowner watching for a refinance need different pages, and a single quote request form serves none of them.
What changes
Purpose-built pages for purchase pre-approval, refinance enquiry and real estate agent introductions each collect what that borrower's file will actually require.
How it pays back
Advertising spend lands on pages matched to the borrower, so cost per funded loan falls even if enquiry volume stays flat.
The problem
A broker's site usually says what every other broker's site says and gives an evening visitor nothing to do but ring an office that is shut.
What changes
The AI Studio website sets out the loan types written, the states the brokerage is licensed in and the process step by step, in the order a first-time buyer asks about it.
How it pays back
Enquiries the brokerage already pays for convert at a higher rate, which is cheaper than raising the advertising budget to get more of them.
The problem
Most borrowers are not buying this month: pre-approvals lapse, house hunts drag through a spring, and the borrower goes quiet for six months and then uses somebody else.
What changes
The nurture campaign keeps the brokerage in front of them with process explanations, timeline guidance and market context, without stating a rate or a payment in an automated message.
How it pays back
A borrower who comes back eight months later is a funded loan with no new acquisition cost attached to it.
The problem
Borrowers choose a broker on reviews, and asking for one while the file is sitting in underwriting invites a review about the wait.
What changes
The request fires once the loan is marked funded, which is the week the borrower has keys and the process is behind them.
How it pays back
The cadence targets 5–10 reviews a month, and a broker with recent funded-loan reviews wins the comparison a buyer runs before they ever pick up the phone.
The problem
The purchase calendar has a shape — spring listings, an autumn slowdown, a year-end push to fund before the holidays — and outreach happens when somebody happens to remember.
What changes
Seasonal automation runs the right message at the right point in that calendar, including a re-engagement run to past borrowers when rate movement makes the conversation worth having.
How it pays back
The refinance book the brokerage already owns gets contacted while the window is open instead of after it has shut.
The problem
NMLS identifiers, the states the brokerage is licensed in, the equal housing statement and required disclosures appear on every page and in every message, and one outdated number is a finding.
What changes
Custom values hold the NMLS identifiers, the licensed states and the disclosure text once, and place them on every page and message where a regulator expects to find them.
How it pays back
Adding a state licence or a new loan officer is a single edit rather than a sweep through everything the brokerage has published.
The problem
A borrower record without loan purpose, property state, occupancy, approximate credit band, contract date and rate-lock expiry is a name the loan officer has to interview all over again.
What changes
Custom fields carry those from the first conversation, and lock expiry and contract date drive the reminders that run afterwards.
How it pays back
No pre-approval or rate lock expires unnoticed, so the file that would have been re-papered from scratch stays on the closing date the contract set.
The problem
The document chase at the start of an application is the slowest stretch of the whole loan, and it usually begins with a phone call and a list read out loud.
What changes
Forms and surveys collect employment type, down payment source, timeline and co-borrower details before the appointment, so the first call is about the loan rather than the questionnaire.
How it pays back
Time to submission drops, and a brokerage that submits sooner locks sooner and funds sooner.
Fit
Saying who should not buy something builds more trust than another benefit bullet, and it saves both of us a refund conversation we cannot have — the sale is final once the link goes out.
The arithmetic
Neither of these is a measured result from a customer. They are worked examples using stated inputs, so you can put your own numbers in and get a different answer.
Assume A brokerage taking eighty enquiries a month with thirty files open at any time, spending roughly fifteen minutes per enquiry on first contact and re-contact, and around four hours a week across the team on condition chasing, appointment reminders, referral-partner updates and review requests.
Eighty enquiries at fifteen minutes is about twenty hours a month. The receptionist, chatbot and pre-application forms take first contact and the repeat attempts, leaving roughly six minutes of officer handling on each, or eight hours, so twelve hours come back. The four hours a week of chasing and updating is about seventeen hours a month, largely absorbed by workflows apart from exceptions, so call that thirteen hours recovered.
Roughly twenty-five hours a month, or six hours a week across the team, and most of it is loan officer time rather than administrative time.
One additional funded loan a month at $4,500 is $4,500 of revenue in that month, against a one-off $2,388 for the snapshot plus your own GoHighLevel subscription.
On these assumptions the build is paid for inside the first extra funded file, and the whole case rests on whether one more funded loan a month is realistic at your enquiry volume. Put your own average revenue per file and your own enquiry count through the same arithmetic before deciding.
Illustrative scenarios. Change any assumption and the answer changes; we have no way of knowing your close rate, and neither does anyone quoting you a fixed return.
Two things leave here when an order is placed.
A 24-business-hour release window applies to every order. Business hours are 9am to 5pm Central, Monday to Friday. Nothing is released at a weekend.
Installation is optional and costs $225. It buys 8 hours of installation work, to be used within 11 days of purchase. Once those hours are used, or the window closes, further work is quoted.
Covered
Never covered, on any package
Quoted separately, or handled by a virtual assistant.
Ask a question or see it first — before ordering, not after.
Before you payAll sales are final. The moment the order exists and the share link leaves us, the snapshot is in your hands and cannot be returned — so the order is non-refundable from that point. You will see this on the product page, in the cart and on the checkout, before you pay, not after.
Asked by mortgage brokers
No, and that is deliberate. Every automated touchpoint is configured to route pricing questions to a licensed loan officer rather than to state a rate, an APR or a monthly payment, because putting terms in an advertisement carries disclosure requirements that an automated text is a poor place to satisfy. If you want rate content in your marketing, that is your compliance function's decision and your wording, added by you.
Yes, property state is captured on first contact and used for routing. Custom fields hold the state and the loan purpose, and the pipeline and calendar routing send the enquiry to an officer who can take an application there. You set the state-to-officer mapping once during setup and it holds from then on.
Both, and the past borrower list is where the cheaper business sits. Database reactivation runs the existing list in defined groups — expired pre-approvals, borrowers above a note rate you nominate, borrowers nearing the end of a fixed period — and invites a call rather than announcing terms. You choose the segments; the build supplies the runs and the fields to segment on.
Referral partners have their own track with status updates at each milestone. When a file moves to conditions, clear to close or funded, the partner is told where their buyer stands without an officer composing the message. Partners who have stopped sending business also surface, because referral counts sit on the record as a field rather than in somebody's impression.
The structure is configured; your identity and your compliance wording are not. Pipelines, workflows, forms, pages and sequences arrive built around purchase and refinance files, and you supply NMLS identifiers, licensed states, officer routing, calendars, phone numbers and any disclosure text your compliance review requires. Budget an afternoon for that and a review pass before anything is allowed to send.
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C-02
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