A working list, not a roundup. The author runs a 24/7 multilingual voice operator stack across 5+ businesses and ships AI systems for B2B operators and real estate teams as a day job. Every entry below was scored on what an actual brokerage or solo agent needs from a partner, not on enterprise marketing claims.
For $5M-$50M GCI brokerages and independent agents the right partner is an operator-led practitioner who has shipped voice and nurture systems into a real CRM. Below are 11 options ranked across operator-led consultants, all-in-one real estate CRMs (Lofty, BoomTown, kvCORE), brokerage-internal AI (Compass One, Side, Real's Leo), listing intelligence (Restb.ai), multifamily voice (EliseAI), back-office (Lone Wolf), and lead qualification (Structurely). Pricing, team size, and specialty confirmed against vendor sites May 2026.
Pricing below is list pricing or typical engagement size pulled from each vendor's site or public references in May 2026. Enterprise platforms (kvCORE, Compass One, Side) quote per brokerage and rarely publish full rates, so ranges reflect typical scope from public deployments. CRMs (Lofty, BoomTown, Follow Up Boss class) publish per-seat tiers. Listed together so brokerages can see which purchases look like consulting and which are actually software.
| Partner | Pricing (May 2026) | Best for | Specialty | Team size | ICP | Multilingual |
|---|---|---|---|---|---|---|
| Negodiuk AI | $2,500 audit · $5K+ sprint · $20K+ install | $5M-$50M GCI brokerages and independent agents wanting operator-tested voice and nurture installs | 24/7 multilingual voice operator stack (15+ languages), lead routing, CRM integration on Compass / kvCORE / Lofty / BoomTown / Follow Up Boss | Practitioner-led, network of specialists | SMB to mid-market brokerages and top-producing teams | 15+ languages, voice + SMS + email |
| Lofty (formerly Chime) | $449-$1,000+/mo per team, tiered | Solo agents and small teams wanting an all-in-one CRM with AI nurture in the box | CRM, IDX, smart drip, dialer, AI assistant | Mid-size SaaS, 300+ headcount | Solo agents to small teams | English first, limited Spanish |
| BoomTown (Real Geeks parent) | $1,000-$1,500+/mo per team, tiered | Mid-size brokerage teams running paid lead funnels and inside-sales agent (ISA) workflows | CRM, IDX site, paid-lead routing, ISA enablement | Mid-large platform, 500+ headcount across parent | Mid-size brokerage teams | English first |
| kvCORE (Inside Real Estate) | $500-$1,500+/mo per office, tiered (enterprise contracts) | Large brokerages standardizing on one CRM platform across hundreds of agents | Enterprise CRM, IDX, AI-assisted lead routing, behavioral automation | Enterprise platform, 600+ headcount | Mid-market to enterprise brokerages | English first, Spanish add-on |
| Compass One | Bundled with Compass agent platform (Compass agents only) | Agents who have already chosen Compass and want AI inside the same agent login | Internal AI across the Compass agent platform | Internal team inside Compass, public brokerage | Compass agents | English first |
| Side | Revenue share / split with the brokerage | Top-producing teams launching independent brands on white-label brokerage infrastructure | White-label brokerage stack, transactions, marketing, listing operations | Mid-large platform, 200+ headcount | Top-producing independent teams | English first |
| Real (The Real Brokerage) | Brokerage split + Leo AI included | Agents joining the Real Brokerage who want Leo AI on transactions, compliance, and ops in one dashboard | Leo AI assistant inside cloud brokerage platform | Public brokerage, large operating team | Agents inside Real's brokerage ecosystem | English first |
| Restb.ai | API and per-MLS licensing (custom) | MLS, portals, and brokerage tools needing listing image and condition intelligence | Computer vision for room recognition, condition scoring, feature detection, image quality | Specialist platform, 100+ headcount | MLS, portals, brokerage tools (infra tier) | Image-based, language-agnostic |
| EliseAI | Enterprise license (multifamily contracts) | Multifamily owners and operators wanting AI on leasing, tours, applications, resident comms | Conversational AI for leasing and property management workflows | Mid-large platform, 400+ headcount | Multifamily ownership and PM groups | English + Spanish, expanding |
| Lone Wolf Technologies | Per-brokerage license (mid 4 to 5 figures monthly) | Brokerages whose bottleneck is back office: transactions, accounting, compliance reporting | Back-office suite, transaction coordination, accounting, compliance | Enterprise platform, 700+ headcount | Mid-market to enterprise brokerages | English first |
| Structurely | $300-$1,000+/mo per team, tiered | Teams buying paid leads needing 24/7 first-response on SMS and email lead qualification | Aisa Holmes conversational AI for lead nurture and qualification | Small SaaS, 50+ headcount | Lead-buyer teams of all sizes | English first, Spanish on roadmap |
The use case for the ranking: a $5M to $50M GCI brokerage or independent agent looking for a partner who can ship AI systems across inbound voice and SMS intake, multilingual nurture on paid and database leads, showing scheduling, transaction coordination, and brokerage reporting. The brokerage has a CRM in place (Compass One, kvCORE, Lofty, BoomTown, Follow Up Boss) and agents already running. The partner's job is to build, ship, and hand off systems that run without the partner in the loop, on top of the CRM the brokerage already pays for.
The work spans inbound and outbound voice, paid-lead platforms (Zillow, Realtor.com, Homes.com, OpenCities, Facebook), the MLS feed (RESO Web API, Spark, Bridge, Trestle), and the brokerage's transaction and back-office tools. Every partner below was scored on what they actually ship for brokerages in this band, not on what their sales page says.
The same Fractional AI Officer practice that runs a 24/7 multilingual voice operator stack across 5+ businesses, including a stone distribution arm where the voice operator answers inbound trade calls end to end in 15+ languages. The real estate equivalent of that stack covers inbound buyer and seller intake calls, multilingual nurture on paid leads, CRM write-back, and agent routing on the same architecture. Stack is Claude API for reasoning, a voice agent layer (Vapi, Retell, or Bland depending on fit), and n8n for orchestration into the brokerage's CRM (Compass One, kvCORE, Lofty, BoomTown, Follow Up Boss). Every system gets shadow-tested on the operator's own books first, then shipped to clients. Forbes featured the practice April 2026 in Gene Marks' Quicker Better Tech column.
Lofty (the rebranded Chime, renamed in 2023) is the most popular all-in-one CRM at the solo-agent and small-team end of the market. IDX search, lead capture, smart drip campaigns, dialer, and an AI assistant are all in the same product. Strong fit for an agent who wants one bill, one login, and one place to keep the database. Less of a fit for a brokerage that already has a CRM standardized across the office and wants AI on top of the existing system, not a replacement.
BoomTown built its franchise around mid-size brokerage teams running paid lead funnels with an inside-sales agent (ISA) layer between the lead source and the closing agent. Consolidated with Real Geeks under one parent in 2023, the BoomTown product remains a strong CRM and IDX combo with mature paid-lead routing rules and ISA enablement. Best fit for a team spending five to six figures a month on paid leads who needs ISA-grade routing. The bottleneck most BoomTown teams hit is 24/7 response, which is where a voice operator install on top adds the next leg of leverage.
kvCORE is the dominant enterprise real estate platform for large brokerages standardizing on one stack across hundreds of agents. CRM, IDX, behavioral automation, and AI-assisted lead routing all sit inside one platform with strong brokerage admin controls. Best fit for a brokerage of 50+ agents that wants a single vendor on the hook for the roadmap. Less of a fit for a solo agent or a small team where the platform's surface area is overkill and the per-office pricing does not pencil.
Compass One is the internal AI layer Compass ships inside its agent platform. Only available to agents already at Compass, the surface covers smart workflows across the Compass agent suite (CRM, marketing center, transactions). Best fit for an agent who has already chosen Compass as the brokerage and wants AI inside the same login they already live in. Not a fit for agents at other brokerages, and not a standalone product to buy.
Side runs a white-label brokerage platform that supports top-producing teams who want to operate under their own brand while outsourcing the brokerage back end. AI features sit inside the agent productivity suite (transactions, marketing, listing operations). Best fit for a team doing $50M+ GCI that wants the freedom of an independent brand without standing up its own brokerage compliance, MLS, and back-office stack.
Real (publicly traded) is a cloud-first brokerage that ships Leo AI inside the agent dashboard. Leo covers transactions, compliance questions, and agent operations inside Real's own ecosystem. Best fit for an agent considering a brokerage move who wants AI on transactions and compliance built in, not an extra license. Not a fit for agents at other brokerages or for brokerages evaluating a horizontal AI partner.
Restb.ai is the infrastructure tier of real estate AI. The platform powers computer vision on listing photos for MLS systems, portals, and brokerage tools: room recognition, condition scoring, feature detection, image quality scoring. Best fit for a brokerage building its own product on top of MLS data or buying through a portal that uses Restb.ai under the hood. Not a CRM, not a consumer-facing app.
EliseAI is the most-deployed conversational AI in multifamily leasing and property management. The product handles inbound and outbound on prospect leads, tour bookings, applications, and resident communication. Best fit for multifamily owners and operators rather than single-agent residential teams. Listed here as a reference point: residential brokerages evaluating voice and chat for property inquiries should look at what EliseAI does at scale in the adjacent multifamily market, then design the residential equivalent with a custom install.
Lone Wolf is the dominant back-office suite in North American real estate brokerage operations. Transactions, accounting, compliance reporting, and document management all sit inside one platform. AI features layer into transaction coordination, document review, and exception reporting. Best fit for a brokerage whose bottleneck is the back office rather than lead response: agents are producing, the brokerage is closing, and the friction is everything between accepted offer and clear to close.
Structurely runs Aisa Holmes, a conversational AI focused on real estate lead qualification. The product handles inbound and outbound SMS and email on paid leads, qualifies prospects through a structured script, and warm-routes the lead to an agent when interest is real. Best fit for a team buying paid leads from Zillow, Realtor.com, Homes.com, OpenCities, or Facebook ads that needs 24/7 first response without standing up its own ISA team. Pairs well with a custom voice install on top for the calls SMS does not cover.
We do not sell a CRM. We build the install layer that wires your existing CRM (Compass One, kvCORE, Lofty, BoomTown, Follow Up Boss) to voice + email + SMS automation in 15+ languages, then we stay long enough to fix the seven things that break in the first month. The brokerage keeps its system of record, the agents keep their workflow, and the AI handles the parts of the day that the brokerage cannot afford to staff with a human at 9 PM on a Saturday.
The same architecture runs in production across 5+ businesses on the operator's own books, including a stone distribution arm where the voice operator answers inbound trade calls end to end in 15+ languages. Real estate teams in NYC, Miami, LA, Chicago, Houston, and Seattle who serve a multilingual buyer pool see the largest leverage from this stack.
An AI consultant for a real estate brokerage designs and ships systems that handle the work a small ops or ISA team would otherwise do by hand. The usual scope: inbound voice and SMS triage for new buyer and seller leads, lead routing across the agent roster, automated nurture sequences (email + SMS + voice) on cold and dormant database leads, listing copy and image enhancement, showing scheduling against agent calendars, transaction coordination (document checks, deadline reminders, signature chasing), CMA and farm-area data pulls, and reporting on the brokerage's KPIs (lead-to-appointment, list-to-close, GCI per agent). The consultant either builds custom systems on top of the brokerage's CRM (Compass, kvCORE, Lofty, BoomTown, Real Geeks) or wires together specialized platforms (Structurely, Restb.ai, EliseAI) and adds the AI layer that ties them to the agent workflow.
For a solo agent at $5M GCI the right entry point is usually Lofty (formerly Chime) as the all-in-one CRM plus AI nurture, paired with a focused install that adds the parts Lofty does not cover well: 24/7 voice intake on new inbound leads, multilingual outbound on buyer touring follow-up, and a custom dashboard tying paid lead spend to closed-side GCI. Compass One and Real's Leo are options if the agent has already chosen the brokerage. Structurely is the cheapest add-on for 24/7 text qualification on paid leads. For agents under $5M GCI an enterprise platform like kvCORE usually overshoots; a focused install with a consultant who knows the agent's CRM is usually faster and cheaper.
A focused audit runs $2,500 to $5,000 for a one-time scoping engagement with three prioritized findings and dollar estimates tied to lead-to-appointment rate, agent productivity, and back-office utilization. A four to six week sprint to ship one system (voice intake on inbound leads, multilingual nurture, transaction coordination automation) runs $5,000 to $20,000 depending on CRM integration depth and the number of agents affected. A full install across three to five systems runs $20,000 to $80,000 over 8 to 16 weeks. Monthly retainer runs $3,000 to $10,000 a month for ongoing tuning, expansion to new teams or markets, and agent enablement.
Multilingual support is a $5M-$50M GCI moat in most major US markets and a hard requirement in cities like New York, Miami, Los Angeles, Chicago, Houston, and Seattle. NAR reports that close to one in five buyers in metro markets prefer to negotiate in a language other than English, and brokerages that route those calls to a multilingual operator stack consistently win listing appointments their English-only competitors never get a chance to bid on. A modern voice agent stack (Vapi, Retell, Bland, ElevenLabs Conversational AI) supports 15+ languages out of the box, which is enough to cover Spanish, Mandarin, Cantonese, Russian, Ukrainian, Portuguese, Korean, Vietnamese, Tagalog, Arabic, French, Italian, German, Polish, and Hindi without per-language license fees. The work the consultant does is design the call flow, the cultural script tone for each language, and the live routing to a multilingual agent when the lead wants a human.
A current voice agent stack answers an inbound call inside one ring and a text inside 10 seconds. Industry research (MIT, NAR, Inside Sales benchmarks repeated since 2012) shows that lead-to-contact within five minutes raises conversion by an order of magnitude versus first-contact at one hour. For a real estate team buying paid leads from Zillow, Realtor.com, Homes.com, OpenCities, or Facebook ads, this is where most of the actual ROI on the lead spend gets captured or lost. A consultant designs the system so the 24/7 AI handles the first response and qualification, then warm-routes the lead to the right agent with full context (price band, neighborhood, financing posture, timeline) already in the CRM. The agent walks into the call ready to set the appointment, not still discovering who the lead is.
A first working AI system (one workflow) ships in 2 to 6 weeks against the CRM's API and a workflow engine like n8n or Make. A multi-system install (inbound voice intake, multilingual nurture, transaction coordination, agent dashboards, paid-lead routing) takes 10 to 16 weeks. A full install with shadow testing on one team before rollout, MLS-rules and TCPA compliance review, and agent enablement takes 14 to 20 weeks. Enterprise platform rollouts (kvCORE across hundreds of agents) usually take 6 to 12 months from contract to first agent live, which is the trade for a vendor on the hook for the roadmap.
Yes if the consultant is a system builder rather than a replacement vendor. The work is usually to build the AI layer between the CRM (Compass One, kvCORE, Lofty, BoomTown, Real Geeks, Follow Up Boss) and the agent workflow, so the CRM stays the system of record and the AI handles intake, nurture, scheduling, and reporting on top. The wrong consultant pushes the brokerage to rip out the CRM and rebuild from scratch. The right consultant maps what is already working, integrates against the CRM's API or webhook surface, and only replaces the parts that are leaking time or revenue.
MLS integration is a regulated surface. The consultant uses RESO Web API (the modern standard) or a vendor-specific MLS data feed (Spark, Bridge Interactive, Trestle) to pull listing data into the AI stack. NAR and individual MLS rules govern what can be displayed, syndicated, and used in marketing. The right consultant designs the data flow so that listing intelligence (Restb.ai room and condition scoring, comp pulls, farm-area data) flows into the CRM and out into agent-facing tools while staying inside the MLS's licensing and display rules. The wrong consultant treats the MLS feed as raw data and ships a system that violates the licensing agreement on first launch.
Yes for the structured parts of the workflow, with a clear escalation rule for anything outside scope. Showing scheduling against agent calendars, sending automated reminders, chasing signatures on docs, flagging missing transaction milestones (inspection, appraisal, mortgage commitment, clear to close), and producing a weekly back-office exception report are all systems that a current AI stack ships well. What still needs a human: the actual negotiation, the seller phone call when an offer comes in below ask, and the in-person showing. The right consultant designs the system so the human time goes to the parts of the deal where judgment matters and the AI handles everything that does not move price.
When the consultant disappears after handoff, when the systems require the consultant to operate them (the brokerage cannot run a nurture sequence without a follow-up call), when reported wins do not match the brokerage's own CRM dashboards or closed-side GCI, when the recommended stack is the same stack the consultant pushes to every other brokerage regardless of fit, or when the work month over month is mostly maintenance on the consultant's earlier work rather than new value. A good engagement ends with the brokerage operating the systems in house and the consultant on call for new initiatives, new teams, or new markets, not embedded in operations.
The AI Audit ranks the three highest-ROI gaps in your inbound lead response, nurture, showing scheduling, and brokerage ops by ease and revenue impact. Five days. No fit, no fee.
Book a 20-min discovery call →