AI Projects

AI agents that finish the job.

Custom AI for real estate businesses with ambitious ideas. Software agents that read, decide, and act across your systems, grounded in your own data, built for the way your office actually runs.

Custom · scoped, quoted, and built per project

What we build.

Every one of these is a job somebody in your office is doing by hand right now.

AI agents that work a lead, not just answer it An AI agent that reads the inquiry, checks your MLS and your CRM, qualifies against your rules, books the showing, and hands you a briefed conversation. It takes the actions a coordinator would.
It knows what your office knows Your listings, past transactions, area notes, disclosures, and the answers you have already written a hundred times. The AI agent retrieves from your own material, so it answers like your office rather than like the internet.
Transaction and compliance watchers An AI agent that reads the file, notices the missing signature and the deadline nobody diaried, and tells the right person before it becomes a problem.
Recruiting and roster intelligence Production data, market movement, and public signals pulled into one view, with an AI agent that surfaces who is worth a call this month and drafts the opener.
The integration nobody else has Your MLS, your back office, the vendor with no API, the spreadsheet the whole brokerage secretly runs on. Most of this work is plumbing between systems that were never meant to talk.
The thing that does not exist yet We come from software infrastructure, not from a template library. If what your business needs has never been built, that is a scope, not a reason to say no.

A chatbot replies. An AI agent acts.

Most real estate AI stops at a reply. An AI agent keeps going: it looks things up, decides what to do next, takes the action in your systems, checks its own work, and escalates when it should. The reply is the least interesting part.

That is also why this is project work rather than a product. The rules are yours, the systems are yours, and the line between what runs unattended and what waits for a person is a decision only you can make.

Talk through your workflow

What we build it on.

We pick the tool that fits the job, and we tell you which one we picked and why. Nothing is hidden, and nothing is locked to us.

Your own data Grounded in what your office knows We build a private search layer over your listings, past transactions, disclosures and the answers you have already written, so the AI agent draws on your material instead of guessing from the open internet. Every answer cites where it came from, so it can be checked. If you have heard the term RAG, this is that, built on your data.
Building the agent OpenClaw and Hermes Where a ready-made AI agent toolkit fits the job, we build on it instead of reinventing it. Where it does not, we write the agent ourselves. The choice is made in scoping, and we will tell you which one and why.
How the work flows Multi-step workflows Real work is rarely one call to a model. It is retrieve, decide, act, verify, and escalate, with approval gates wherever an action touches a client or a contract.
Ownership Yours at the end Running on your own systems where it should be, documented, and handed over. You own the result and the right to take it elsewhere, including to another vendor.

How a project runs.

Every project follows the same five steps, with a fixed number before any build starts.

01 Scoping session A working session on the actual problem. What happens today, who touches it, how often, and what it costs you in hours. We would rather talk you out of a bad project than sell it.
02 Statement of work Scope, price, timeline, and what done looks like, in writing before anything starts. Fixed, not an hourly meter.
03 Design We map the workflow end to end and agree where the AI agent acts on its own and where a human approves first. That line is a decision you make, not one we make for you.
04 Build Built against the scope, reviewed with you as it goes, and tested on your real data before it touches anything live.
05 Maintain Models change, feeds break, your business shifts. Ongoing care is quoted separately so you can see exactly what is one-time and what recurs.
Scoping session

Start with the problem, not the technology.

Tell us what happens today and we will spend a session pulling it apart with you. You leave knowing whether this is worth building, roughly what it takes, and what it would cost.

  • A working session, not a sales call
  • We map the workflow as it actually runs today
  • You get a scope and a fixed price, in writing
  • If it is not worth building, we will say so

Tell us what you have in mind.

The more detail here, the more useful the first conversation is.

A person reads these. You will hear back within one business day.

Common questions

What counts as an AI project?

Work that is specific enough to your business that no product covers it. Your qualification rules, your compliance checks, an integration with the system your brokerage actually runs on, an AI agent that does a job somebody currently does by hand. If it can be described as a workflow, it can usually be scoped.

Do I need to be a Broker & Agent customer?

No. We take projects for businesses running someone else's website and someone else's CRM. It is often easier when we built the site, because we know what is underneath it, but it is not a requirement.

How is it priced?

Per project, quoted before we start, based on the scope we agree in the session. Not hourly, not a percentage of anything, and not a monthly platform fee dressed up as a service. Running costs like the AI usage itself and hosting are stated separately so you can see what is one-time and what recurs.

Who owns what you build?

You do. The code, the instructions we write for the agent, the search index built over your data, and the documentation. We will self-host it in your own environment where that makes sense, and you can take the whole thing to another vendor if you ever want to.

What stops an AI agent from taking a wrong action?

Approval gates on anything that touches a client, a contract, or money, and a full log of what the AI agent did and why. In design we agree exactly which actions run unattended and which wait for a person. That line is set before we build, not discovered afterwards.

What is the smallest project worth doing?

Something that gives a person back several hours a week, or catches business that is currently being dropped. Below that the build usually costs more than the problem, and we will say so rather than take the work.

Bring us the ambitious one.

If you have a custom project in mind, but you're not sure where to start, let's have a conversation. Tell us what you're trying to solve and we'll brainstorm options with you. No upfront cost or commitment, just a discussion to scope out what's possible.

Or email hello@brokerandagent.com.