There is no single best AI consulting firm for real estate. There are five camps, and which camp fits you is set by three things: how big your firm is, whether you want a plan or a built system, and what you can spend. A strategy house maps the ground and hands you a report. A CRE-focused boutique builds one workflow and stays on the line when it breaks. A dev shop builds what you spec and holds no view on whether the spec was worth building. Those are not three grades of one thing, they are three tools. This page names the firms in each camp, gives the 2026 price bands, and hands you a 100-point score card you can run on any firm, even ones no list names.
The Short Answer
Every “top 10” page ranks firms as if they were racing on one track. They are not. Sort them into camps first, then pick inside the camp that fits your firm.
| Camp | Named firms | Best for | 2026 cost | Time to value | Main risk |
|---|---|---|---|---|---|
| Strategy houses | McKinsey, Deloitte, EY | A board-level plan at a large firm | $500K to $2M+ | 3 to 6 months | You buy a plan, not a system |
| Broker-linked tech arms | JLL, CBRE tech units | Large holdings already on their stack | Bundled, or six figures | 3 to 9 months | Ties you deeper to one stack |
| Boutique CRE AI shops | SFAI Labs | 4 to 50 person CRE firms with one clear job | $5K to $50K per build, or $2.5K to $15K a month | 4 to 10 weeks | Small teams; check they have room |
| Generic dev shops | LeewayHertz, Appinventiv | A spec you have already written | $150K to $500K+ | 2 to 6 months | No CRE view; the spec risk is yours |
| Rollout giants | Accenture | One system across many sites and teams | High six figures and up | 6 to 12 months | Heavy for firms under ~200 staff |
Price bands are drawn from openly posted 2026 rate guides across the AI advisory market; treat them as a sanity check on a bid, not a quote.
First: Do You Need to Hire at All
Every page on this topic is written by a firm that wants the job, so every page assumes the answer is yes. Run this gate before you take a single call.
JLL asked more than 1,500 senior CRE buyers and users across 16 markets for its 2025 Global Real Estate Technology Survey. It found that 88% of the buy side had begun AI pilots and 92% of tenants were running them too. Only 5% had met all of their AI goals. Another 47% had met two or three. And 87% said tech budgets went up because of AI.
Read that as a warning about sequence, not about AI. Nearly every firm is spending. Few are done. The gap is almost never the model; it is that the job was fuzzy on day one.
Skip the hire, for now, if any of these is true:
- You cannot spell out the job in steps. Inputs, the call being made, the output, and what happens when it goes wrong. If you cannot write those four lines, you will pay an outside team to learn your process at their day rate.
- A tool you already pay for does most of it. Your CRM, your deal system, and your books app all shipped AI features this year. Turn them on and use them for a month first. Our guide to AI-enabled CRM tools for CRE covers what is already in the box.
- Nobody on staff can own it after launch. A system with no named owner rots. If you cannot name that person today, buy team training first and build later.
If none of the three is true, you are ready to shop. Read on.
The Five Camps, and Who Each One Fits
Strategy Houses
Who: McKinsey, Deloitte, EY, and the rest of the big-name advisory world.
They are good at what they sell: a rigorous read of where AI could move your P&L, sized and staged, in language a board will sign off on. Their CRE work is real and their data sets are deep.
Two limits matter. Their fees are set for firms with a few thousand staff, and the output is a plan. Someone else still has to build the thing. For a 12-person broker shop, this camp is a category error, not a bad choice.
Pick them when: you are large, the ask is where to aim and not what to build, and a board needs an outside name on the page.
Broker-Linked Tech Arms
Who: the tech units inside JLL, CBRE, and their peers.
They know CRE better than anyone in this list, because CRE is the firm. They hold market data you cannot buy easily, and if you already run their tools, the wiring is half done.
The catch is the tie. Their tools are built to keep you in their world, and the advice will lean that way. That may be fine. Price the lock-in as part of the deal, not as a free perk.
Pick them when: you hold a large set of assets, you are already on their stack, and deeper wiring is a plus and not a worry.
Boutique CRE AI Shops
Who: SFAI Labs, plus a long tail of small teams that build CRE AI for a living.
This camp is where most CRE firms under 50 staff should shop. A boutique with real CRE depth takes one job: a lease data pull, a deal screen, a broker copilot, an AP flow. Then it carries that job from a messy PDF to a system your team uses on a Monday. Cycle time is weeks, not quarters, and you talk to the people who write the code.
Two risks. Capacity is finite, so ask what else is on their plate and who is named on yours. And the label is easy to claim; a firm that cannot speak fluently about NOI, cap rate, rent roll, or CAM has read the words, not the work.
Pick them when: the job is specific to how your firm makes money and no product off the shelf fits.
Generic Dev Shops
Who: LeewayHertz, Appinventiv, and the wide offshore and near-shore market.
They build well and price low per hour. If you hand them a tight spec, you will get that spec back.
That is also the risk. They hold no view on whether your spec was worth building, and in CRE the spec is the hard part. You are buying hands, so you must supply the head.
Pick them when: the spec is written, someone in-house owns it, and you want more hours for the money.
Rollout Giants
Who: Accenture and firms of that size.
They exist to push one system across many teams, sites, and regions, with change work, training, and support wrapped around it. That machine is real and few can match it.
It is also heavy. Below roughly 200 staff, you are paying for a machine you will not use.
Pick them when: the build is settled and the hard part is getting hundreds of people to use it.
What It Costs in 2026
This is the question the ranking pages skip. Here are the bands the market posts openly.
| What you are buying | 2026 band | Notes |
|---|---|---|
| AI-ready check or audit | $2K to $75K | Wide, because “audit” means a half-day at one firm and a six-week study at the next |
| Hourly, boutique | $150 to $400 an hour | The going rate for hands-on CRE AI work |
| Hourly, big-name house | $300 to $1,000+ an hour | Partner time sits at the top of that band |
| Fixed build, boutique | $5K to $50K | One workflow, shipped and handed over |
| Fixed build, dev shop | $150K to $500K+ | Multi-part builds with a written spec |
| Monthly retainer | $2.5K to $15K a month | Ongoing build plus upkeep |
| Part-time AI lead | $2K to $30K a month | A part-time head of AI, not a builder |
| Full program, big house | $500K to $2M+ | Plan, not code |
The Four Costs Nobody Quotes
The bid is not the bill. Add these four lines before you sign:
- Model spend. Every call to a model costs money. Ask for a per-month figure at your real volume, not a demo volume.
- Your own hours. Somebody at your firm has to gather docs, answer asks, and test output. Budget real hours for a real person.
- Upkeep. Models shift, formats change, and staff leave. Ask for a yearly upkeep figure in writing and put it in the bid.
- The second build. The first system works and the team asks for the next one. Firms that plan for this get a better rate than firms that start over.
The Score Card: 100 Points, Six Tests
Rankings age badly. A score card does not. Run these six tests on any firm, in any camp, and you have a number you can compare.
| Test | Points | What a top score looks like |
|---|---|---|
| CRE depth | 25 | They talk about NOI, cap rate, rent roll, and CAM without being fed the terms, and can walk one CRE build end to end |
| A live system, not slides | 20 | They open a working system on the call and run your own messy file through it |
| Who owns the code and data | 20 | You own the code, the prompts, and the output; your data never trains a shared model |
| Evals and error rate | 15 | They can state how often the system is right, how they know, and what happens when it is wrong |
| They will say no | 10 | They have turned down work, and they tell you which parts of your ask are not worth building |
| Open pricing | 10 | A band on the first call, and a bid that names each line |
How to read the total. Above 80, sign. From 60 to 80, fix the weak test before you sign, in the contract. Below 60, walk. And treat the first two tests as gates: a firm that scores zero on CRE depth or shows only slides fails outright, whatever the total says.
The eval test is the one buyers skip and regret. A firm that cannot tell you its error rate has not measured one. We break that down in how to judge a vendor’s eval habits before signing.
Six Asks for the First Call
Send these ahead of the call. How a firm answers in writing tells you more than an hour of talk.
- “Show me a system you built that has been in daily use for six months.” Not a demo built last week. Real users, real data, real edge cases.
- “Walk me through a CRE job you shipped, start to end.” Listen for the messy parts: bad scans, odd lease terms, the file that broke it.
- “Who owns the code, the prompts, and the data when we are done?” Get the answer in the bid, not in talk.
- “What is your error rate on that build, and how do you know?” Any real number beats a promise of accuracy.
- “What would you tell us not to build?” A firm with no answer here is selling hours.
- “Who is on my team, by name, and what else are they on?” Sales staff and build staff are rarely the same people.
Take one real file to that call: a lease, a rent roll, a broker blast. The talk gets sharper the moment a real doc is on the table. Our vendor check list for CRE owners has the long form of this list.
Red Flags in Every Camp
Each camp fails in its own way. Know the tell.
| Camp | The red flag | Why it should worry you |
|---|---|---|
| Strategy houses | The team on the pitch is not the team on the job | You bought a name and got juniors |
| Broker-linked arms | The advice always ends at their own tool | The read is real, but it is not neutral |
| Boutique CRE shops | No named owner, or a full plate | Small teams can be great and still have no room for you |
| Generic dev shops | They accept your spec with no pushback | Nobody is checking whether the job is worth doing |
| Rollout giants | A six-month phase before any code | You will pay for months of ramp before you see output |
Three flags cut across all five camps. Any one of them should end the call.
- The firm will not put a price band on the table.
- The firm wants your data to train a shared model.
- The firm promises the AI will not get things wrong.
That last one is not caution. It is a sign they have never run a system in live use. More of these in reading AI bids: red flags for CRE buyers.
How to Pick Between Two Firms in One Camp
You will end up with two boutique shops whose sites read the same. Four tie-breakers, in order:
- The messy file test. Send both the same ugly scan. The firm that comes back with what broke, and why, is the firm that has done this before. The one that comes back with a clean demo picked an easy path.
- The named team. Ask who writes the code and meet them. If you only ever meet sales, you know what you bought.
- The exit plan. Ask what handoff looks like if you part ways in month four. A firm with a clean answer is not holding you hostage.
- The no. The firm that cuts more from your ask, all else equal, is the one thinking about your money.
Price is the last tie-breaker, not the first. The gap between two boutique bids is rarely the gap that decides whether the build works.
What Happens After Launch
A build is not done at launch, and this is where most of the ranking pages go quiet.
Model drift is real. The model behind your system gets updated, and output that was fine in March reads oddly in July. Ask who watches for that, how often, and what it costs.
Formats change. A lender swaps its rent roll layout and a data pull that ran clean for months starts dropping fields. Systems that hold up have checks that catch this and flag it rather than passing bad data through.
Someone has to own it. Name that person before launch and give them time in their week. This is the single best signal of whether a build sticks; see our AI adoption method for small CRE firms.
Get upkeep in the bid. Ask for a yearly figure covering checks, fixes, and model updates. A firm that will not quote it is telling you they plan to bill it hourly.
Where We Fit, and Where We Do Not
SFAI Labs sits in the boutique CRE AI camp. We build one workflow at a time for firms of roughly 4 to 50 staff: deal screens, lease data pulls, inbox and CRM flows, AP and CAM work. We are a fit when the job is shaped by how your firm makes money and no product off the shelf covers it.
We are the wrong call in four cases, and we would rather say so here than on a call:
- You need a board-level plan, not a build. A strategy house is built for that; we are not.
- You are over ~200 staff and the hard part is adoption. That is a rollout job.
- You already have a tight spec and only want hours. A dev shop will beat us on price per hour.
- A tool you already pay for does the job. We will tell you that on the first call, and we have.
This camp holds other small teams, and they are real options for the same work. Run the score card on us the same way you would run it on any of them, and hold us to the same six tests.
So Who Should You Hire
Route by firm size and by what you are missing.
| Your firm | Start with | Skip |
|---|---|---|
| Under 10 staff | Team training first; then one boutique build under $25K | Big houses, dev shops, giants |
| 10 to 50 staff | A boutique CRE AI shop, one workflow at a time | Big houses and giants |
| 50 to 200 staff | A boutique for the build, plus a dev shop if the queue is long | Full big-house programs |
| Over 200 staff | A strategy house for the plan, a giant for the rollout, a boutique for the first proof | Nothing; you can use all four |
The pattern that works at every size: one workflow, shipped, measured, owned. Then the next one. That order is also the cheapest way to find out you were wrong.
FAQ
How much do AI consulting firms for real estate cost in 2026?
A boutique CRE AI build runs $5K to $50K, or $2.5K to $15K a month on retainer. Dev shop builds run $150K to $500K+. Big-name advisory programs run $500K to $2M+. Hourly rates run $150 to $400 at a boutique and $300 to $1,000+ at the large houses.
Do I need an AI advisor, or can my team use tools we already pay for?
Try the tools first. Your CRM, deal system, and books app all shipped AI features this year. Give the team a month on them. Hire an outside firm when the job is shaped by how your firm makes money and no product off the shelf fits it.
What is the best AI consulting firm for a small broker shop?
A boutique CRE AI shop, not a big name. Under 50 staff, you want a small team that will build one workflow in weeks and stay on the line when it breaks. Score any firm on CRE depth, a live demo, who owns the code, and error rates.
How long should a first AI project take?
Four to ten weeks with a boutique for a single workflow. Two to six months with a dev shop. Three to nine months with a broker-linked arm. If a firm quotes six months before any working code, the scope is too big for a first build.
Who owns the code and the data when the job ends?
You should, and it belongs in the bid. Ask for the code, the prompts, and the output in writing, and check that your files are never used to train a shared model. A firm that hedges on this is planning to keep you tied in.
What should I ask an AI consulting firm on the first call?
Ask for six things. A system in daily use for six months. A CRE build walked start to end. Who owns the code and data. The measured error rate. What they would tell you not to build. And the names of the people who will do the work.
Are big-name firms worth it for a real estate firm?
For large firms needing a board-level plan, yes. For firms under 200 staff, rarely: the fee is set for a much bigger buyer, and you get a plan that someone else still has to build.
How do I tell two boutique firms apart?
Send both the same messy file. The one that reports what broke has done the work. Then compare the named build team, the handoff terms if you part ways early, and which firm cuts more from your ask. Price comes last.
What is a fair reason to walk away?
Three: they will not give a price band, they want your data to train a shared model, or they promise the AI will not get things wrong. Any of the three should end the call, in any camp.
Next Steps
The best AI firm for your shop is the one matched to the job you have, and for some readers the honest answer is that the job is not ready yet. Before you short-list anyone, get an outside read on which workflow would pay back first, whether a build or a rented tool fits, and whether your team is ready for either to stick. We run a free AI-ready check for small CRE firms. It is a short working session that maps your workflow, your doc mix, and your systems. It returns an honest read, even when that read is “not yet, here is what to do first.” Book a free AI-ready check and bring one real workflow you want fixed. The talk is far more useful with a real deal or lease on the table.
Arthur Wandzel
