
How to Hire an AI Agency for Real Estate
A buyer's guide to hiring an AI agency for real estate investing: the questions to ask, the red flags, how pricing models work, and what we charge.
Hiring an AI agency for real estate comes down to four things you can check before you sign: who will build your system, whether you will own the accounts and the configuration when it is done, which number the agency will report every week, and what happens when the system breaks after launch. The pricing model matters less than those answers. A fixed price sprint from an agency that keeps your phone numbers in its own account is a worse deal than a pricier one that hands you everything.
I run an AI agency for real estate, so read this with that in mind. I have also been the buyer, of software and of contractors, and I have inherited half finished automations that nobody could explain. This is the checklist I would want if I were on your side of the table.
What you are buying
An AI agency for real estate investors designs, builds and usually runs systems in four areas: getting and qualifying seller leads (voice agents, texting, chat), the acquisitions workflow (intake, comps, offers, follow-up, CRM hygiene), dispositions (buyer lists and deal blasts), and the back office (reporting, transaction coordination). The deliverable is a working system connected to your CRM and phones. A roadmap on its own is a consulting engagement, which can be worth paying for, but know which one you are buying.
If you want to see what the finished pieces look like, our pages on AI voice agents and AI lead generation show the production versions, and what an AI operating system is shows how they fit together.
How AI agencies price, and what each model rewards
| Model | How it works | What it rewards | Watch for |
|---|---|---|---|
| Audit or diagnostic | Fixed fee to map your process and produce a prioritized plan | Clear thinking before spending on build | A plan with no owner to carry it out |
| Fixed scope sprint | One system built and launched for a set price over a set number of weeks | Shipping a defined thing | A brief so vague the agency can call anything done |
| Monthly retainer | A team that runs what is live and builds the next thing in priority order | Ongoing improvement and upkeep | Paying monthly for work you cannot see |
| Productized add-on | A set monthly price for a defined component, such as a chatbot or voice agent | Predictable cost | What is excluded: setup, scripts, usage |
| Per lead or per appointment | You pay for each result delivered | Volume of results | Junk leads that technically count |
I am wary of per lead pricing for build work. It sounds investor friendly, but it pays the agency for volume, and you end up arguing about what counts as a lead instead of fixing the funnel.
Whatever the model, ask who pays usage costs: phone minutes, texting fees, model tokens, data lookups. These run on top of almost any agency fee, and the honest answer is that you pay them, in accounts you own, at cost.
What White Space charges
Since this is our guide, here are our published prices, so you have one real reference point. They are also on our pricing page:
| Engagement | Price |
|---|---|
| Retainer, 6 month engagement | $6,499 per month |
| Retainer, month to month | $7,999 per month, no long term contract or cancellation penalty |
| Sprint, one scoped project | From $9,999, delivered in 4 to 8 weeks |
| AI voice agent add-on | $799 per month |
One retainer covers all five areas we work in. Our audit is a fixed fee diagnostic that takes two weeks and ends in a prioritized roadmap. Use them to compare structure; other agencies will price differently.
Questions to ask before you sign
About the people
- Who, by name, will build my system, and who will I call when it breaks? If the answer is a role instead of a name, expect a handoff to a contractor after the sale.
- How many real estate clients do you have live right now? Live and paying this month, not "we have worked with real estate."
- Can I talk to one of them? An agency with live clients can usually set that up within a few days.
When you get a reference, listen for the caveats. Ours include Sean at Greenlight Offer, a Houston wholesaler, who told us: "We tried two agencies and saw a 2.4x return. With White Space we are at a 10x return." The 10x is his projected profit on contracts signed, not collected revenue. Ask every reference the same thing: a return on what, measured how?
About ownership
- Whose accounts will this run in? Your phone numbers, your texting registration, your CRM, your voice agent workspace and your automation tool should be in accounts you own, with the agency added as a user. If the agency owns the Twilio account your seller numbers live in, you cannot leave without losing them.
- Where does the configuration live? A voice agent is a prompt, a knowledge base and a set of settings. Ask whether those are written down and versioned or only exist in someone's dashboard. We keep our own website assistant's prompt and knowledge base in a code repository, apply changes with a script, and run a weekly check that fails if the live agent drifts from what is written down, because a stray save in the vendor's dashboard can silently overwrite it.
- What do I get if I cancel mid-build? Get the answer in writing: what is handed over, in what state, and what is refunded.
About results
- Which number will you report every week? Pick one: appointments booked, speed to first contact, cost per qualified lead. Write it into the agreement.
- What counts as done? A demo on a call is not done. Live in production, documented and handed over is done.
- What happens the first time it breaks after launch? Ask about monitoring, response time and who pays for the fix.
About compliance
- How do your calls and texts stay legal? An agency building outbound for you should answer this without being asked. The FCC ruled in February 2024 (FCC 24-17) that AI voices are "artificial voices" under the TCPA, so AI calls need prior express consent, and ringless voicemail counts as a call. Marketing texts need prior express written consent, and A2P 10DLC registration, required for business texting since February 1, 2025, is not consent. Any AI agent should say it is an AI. This is not legal advice. Our posts on cold calling rules and A2P 10DLC go deeper.
If an agency dodges more than two of these, keep looking.
Red flags
- It promises results it cannot measure. "We will 10x your lead flow" means nothing without the dashboard, the source of the number and a baseline.
- It does not know the business. Ask the difference between an assignment and a double close, or how it would tell a motivated seller from a tire kicker. Generic answers lead to a generic system. Our AI for wholesalers page exists because this gap is common.
- It builds inside its own wrapper. When you cancel, the system disappears. Insist on builds in platforms you control.
- It quotes before discovery. A firm number on the first call is a template. The real scope depends on your CRM, your call volume, your lead sources and your team.
- The founder will not get on a call. For a meaningful engagement, you should be able to talk to whoever is accountable.
- It talks about models more than about your deals. Most of a good first call is questions about your markets, your team, your margins and where leads die.
Build it yourself instead?
An agency is not always the right answer. Building in house makes sense if you already have a technical operator on payroll, if the logic is your competitive edge and you do not want a third party seeing it, or if you have done this once with an agency and learned enough to run it yourself. If none of those apply, a short first engagement with a clear exit tells you more than any proposal. For the general version of this decision outside real estate, see what an AI automation agency is.
How to run the decision
- Write the problem in one paragraph. If you cannot, buy an audit first.
- Set a budget range and a deadline range. Something like "$10,000 to $15,000, live in 8 weeks" is a brief.
- Get three proposals and score them against the questions above in a spreadsheet.
- Start with one system, and structure the first 60 days with a clear exit clause, even on a retainer.
To see how we run audits, sprints and retainers, start at our AI agency for real estate page.
Founder & CEO, White Space Solutions
Jason builds AI automation systems for real estate investors and business owners. With experience spanning data analytics, direct mail automation, AI voice agents, and revenue intelligence, he helps companies replace manual workflows with intelligent systems that drive measurable results.
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