Managed AI services
for real estate.
Here is what it returns.
Audited figures are verified against the client's own systems by a third party. Client result figures are reported by the client over the stated period.
We build it. We run it. You bank the basis points.
Most AI consultants hand you a deck and a Zapier login. We are your managed services firm: the workflow ships into production, and then we stay — monitoring it, tuning it, and reporting on the number it was hired to move.
Shipped in weeks, not quarters.
One scoped workflow at a time, wired into the CRM, PMS, and inboxes you already pay for. Named tools and deliverables in the SOW.
See the engagements →We watch it so you don't.
Deliverability, error rates, model drift, token spend — managed for you. Monthly performance reviews against institutional benchmarks, tuned until the metric moves.
See it in your practice area →Your system, not our subscription.
You own the data, the integrations, and the playbook. When a better model ships — or one gets pulled or repriced, like this July — we swap it without rewriting your business.
Why that matters right now →Under the hood we orchestrate Elise AI, HubSpot, Salesforce, AppFolio, Yardi, OpenAI, Anthropic, Twilio, and Retell. We manage the seams between them, which is the part every vendor leaves to you. How an engagement runs →
One managed workflow returned roughly $1M a year per $100M of revenue.
AI rent collection across an institutional multifamily portfolio — built and scaled by our founder, with audited before-and-after numbers. If you want the receipts, they're one click away.
Apps we built to prove the patterns.
Four working applications we wrote to test integration patterns before installing them at clients. They are demos, not the product — the product is the managed integration work around them.
Email Prospecting
Outbound engine. Enriches contacts, drafts personalized openers, queues for review, sends en masse. The same pattern we wire into client CRMs.
Deal Scout CRM
Pipeline ingestion and first-pass underwriting from offering memos. Built to show what a working AI analyst looks like inside an investment workflow.
Retail Site Finder
Trade area intelligence, demographic match scoring, tenant fit ranking. Demonstrates the data-stitching pattern behind site selection AI.
Ad Server
Multi-property creative testing with AI generated variants and automated bid adjustments. Demonstrates the marketing automation pattern at portfolio scale.
Want one of these patterns wired into your stack and run for you? That is a 30 minute conversation.
Built for the people who run the buildings.
Operators, not consumers. Pick your seat — each link goes to the workflows we manage for teams like yours. Or see all practice areas.
Kevin Krone.
Operator first. Engineer second. Consultant only because the work demanded it.
Kevin built the AI rent collection system behind the numbers above, then architected the rollout from a New York portfolio to California. Before founding Real Estate AI Studio, he was an Asset Manager and AI Implementation lead at one of the largest privately held real estate firms in the United States.
Today he writes the integration code, sits in the IC meetings, and trains your team. There is no junior consultant on the engagement. More on his background and where he's been quoted and interviewed.
Field guides, written by an operator.
Six PDF playbooks. No email gate. Read them, ignore them, send them to your team — they cover the questions buyers actually ask before they hire us. For ongoing field notes, there's The Studio Notebook.
Tell us which number you want managed.
Thirty minutes. No pitch deck. We map your highest leverage AI plays, tell you when AI is the wrong answer, and scope the first workflow we'd run for you.