Custom AI agents
We build custom AI agents. Tell us the job. We build the agent that does it end to end, on your systems, next to your team. Any industry. For real estate investors we already have the agents written out below.
What we build
Real estate agents with proven performance Every agent is built to your process and your systems. The real estate set below is already specified end to end, because that is where we started.
Disposition Dispo Agent Takes a property from under contract to in front of every buyer, with one click.
What it does
Builds the property package: listing, photos, repair budget and a one-page report on why it is a deal. Pulls the comps and writes them into the package. Finds every cash buyer near the property from your buyer list or InvestorBase. Sends your templated email and text to all of them. Posts the deal to every Facebook buyer group you tell it to, ten or twelve at a time. Answers the first round of buyer questions from what it knows about the deal. Books the serious buyers onto a call with your dispo manager. Writes you the disposition report: who got it, who replied, who is booked, what to do next. Replaces The VA or dispo coordinator doing this by hand, deal after deal.
Acquisitions Underwriting Agent Runs your numbers on every lead the minute it comes in.
What it does
Takes the address from your CRM or lead form. Pulls the data you underwrite from: comps, taxes, rents, repair estimates. Runs your underwriting model, not a generic one, and returns a max offer and a one-page memo. Starts the outreach the same minute: the text or email you would have sent, with the number in it. Flags the deals that deserve a person the same hour. Replaces The hours between a lead arriving and someone looking at it.
Offers Offer Agent Submits the offer on every property that passes underwriting.
What it does
Takes the deals your underwriting agent approves. Writes the offer in your format, with your terms. Submits it through your agent, your MLS access or the seller's portal, and logs it. Follows up on every open offer on your schedule until there is an answer. Keeps one board of every offer out, countered, accepted and dead. Replaces The deals you never got around to offering on. One extra closed deal pays for it.
After hours After-Hours Agent Answers every call and text when your office is closed, and the lead is qualified by morning.
What it does
Picks up the calls and texts that come in after hours, on weekends and while your team is on other calls. Talks to the seller the way your acquisitions rep would: the property, condition, timeline, why they are selling, what they want for it. Answers buyer questions on your active deals from the deal package. Books the qualified seller or buyer straight onto your team's calendar for the next open slot. Hands a live person the calls you tell it to, such as a motivated seller ready to sign today. Logs every conversation into your CRM with a transcript and the answers to your intake questions. Sends your team a morning report: who called, what they said, who is booked, who to call back first. Replaces The answering service, the missed-call text-back, and the lead that went cold overnight.
Proven performance
Running on our own company today. Hiring, phones, invoices, bookings. These do our work right now, and yours get built from the same parts.
Applicant screener Reads every application against the job's rubric and writes the score into the applicant tracker.
AI interviewer Interviews the candidate the same day from one link and posts the write-up.
Skills assessment Scores the test, grades the written answer, tags the record.
AI phone agent Answers members' calls and routes the ones a person has to take.
Invoice processing Reads the invoice out of the inbox, codes it and queues the accounting entry.
Booking and follow-up The lead books, the confirmation text goes out, the no-show gets chased.
Our process
Six steps. You know what happens next at every one. 1 Discovery call Thirty minutes. What you want AI to do, who does that job today, what it costs.
2 Scope We write down what the agent will do, what it connects to, and the price. You sign off.
3 Phase 1: build The agent does the core job on your real data, next to your team.
4 Phase 2: enhancements What your team asked for after using it for real.
5 Phase 3: finalization Edge cases closed, handoffs documented, your team trained.
6 Ongoing We host it, watch it and keep improving it for a monthly fee.
A build fee, then a monthly. Both numbers are on the scope before you commit to anything.
Watch one run
A dispo run on one of our own deals.
Exit Wholesale
Under contract $207,000
Assigned to buyer $260,000
Projected fee $43,000
Realized fee $53,000
Closed June 12, 2026
Minutes after the property lands, illustrative
0:00 Received the property from our CRM, contract price and photos attached 0:04 Built the package: the listing, repair budget, and a one-page report on the spread 0:09 Pulled the comps and wrote them into the package 0:15 Pulled the cash buyers near the property from our buyer list 0:16 Sent our email and text to every one of them 0:40 Posted the deal to the buyer groups we chose 1:30 Answered the first round of buyer questions from the package 2:00 Booked the serious buyers onto a call with our dispo manager 2:01 Sent us the disposition report: who got it, who replied, who is booked, what to do next Play again Deal numbers are real, from our deal tracker.
What are you trying to accomplish with AI? Thirty minutes with Sean. You leave with a straight answer on whether an agent is worth building.
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