# Maira > Maira is an AI employee platform for real estate brokerages built by REALLM Realty, Inc. It connects to your existing CRM, email, calendar, and phone systems, and provides a fleet of AI employees that handle lead qualification, follow-ups, scheduling, CRM updates, and reporting -- all via a voice-first interface. - Full content version: https://trymaira.com/llms-full.txt ## Key Pages - [Home](https://trymaira.com/): Overview of Maira's AI employee fleet for real estate - [Platform](https://trymaira.com/platform): Three-layer architecture -- voice interface, CRM integration, leadership command - [How It Works](https://trymaira.com/how-it-works): Step-by-step explanation of the fleet system - [Compare](https://trymaira.com/compare): Head-to-head comparisons of Maira vs leading AI and CRM tools for real estate - [Maira vs Ylopo](https://trymaira.com/compare/ylopo): Voice-first autonomous AI vs AI-powered lead generation and nurturing (rAIya) - [Maira vs Rechat](https://trymaira.com/compare/rechat): Plug-in AI employees vs all-in-one brokerage CRM with marketing (Lucia) - [Maira vs Lofty (Chime)](https://trymaira.com/compare/lofty): Plug-in AI employees vs all-in-one CRM replacement - [Maira vs Sidekick](https://trymaira.com/compare/sidekick): Full operations fleet vs AI scheduling-only assistant - [Maira vs Lindy](https://trymaira.com/compare/lindy): Real estate-native fleet vs generic no-code AI agent builder - [Enterprise](https://trymaira.com/enterprise): Enterprise deployment for brokerages - [About](https://trymaira.com/about): Built by former real estate agents who lived the pain - [Blog](https://trymaira.com/blog): Industry insights and product updates (17+ long-form articles) - [Contact](https://trymaira.com/contact): Get in touch or schedule a demo ## What Maira Does - Voice-first interface: talk to Maira from your car, no app or prompts needed - 24/7 lead qualification with natural conversations that qualify, log, and follow up - Automatic CRM updates from every call, text, and interaction -- your CRM stays alive without lifting a finger - Smart scheduling with calendar management, conflict detection, and automated follow-up sequences - Property intelligence with comparable sales, market data, and branded reports generated on demand - Org-wide signal that connects cause to effect across every workflow and handoff - Self-improving workflows: the fleet diagnoses bottlenecks against your KPIs and adjusts over time - 15-minute integration into your existing tools -- no migration, no data export, no IT ticket ## What Maira Does Not Do - Maira does not replace human relationships or judgment -- relationships stay human, busywork doesn't - Maira is not a chatbot or copilot that needs prompting -- it's employees you don't have to hire - Maira does not require data migration or rip-and-replace of existing tools ## Who Maira Is For - Real estate brokerages of all sizes - Individual real estate agents and teams - Enterprise brokerages looking to scale operations without headcount - Any enterprise that is looking to integrate AI into their business - A 5-person team with a Maira fleet operates like a 9-person team ## Contact - Website: https://trymaira.com - Email: contact@mairasaas.com - Schedule a demo: https://calendar.app.google/Su5Smc9U4N8kftuS9 - Twitter: https://twitter.com/trymaira - LinkedIn: https://www.linkedin.com/company/reallm-realty ## How Maira Works (Step by Step) 1. Plug in (15 minutes): Maira connects to your existing CRM, email, calendar, and phone system. No data export, no CSV upload, no IT ticket. No migration. No rip-and-replace. 2. Talk to Maira: Agents call or text Maira like a human assistant — from their car, between showings, any phone, any accent, any language. No app. No login. No prompts to write. 3. Maira executes autonomously: Updates CRM after every interaction. Schedules follow-ups. Drafts emails. Qualifies leads 24/7. Logs showing notes. Generates property reports. 4. The fleet learns and improves: Maira captures every interaction across every tool and produces longitudinal signal that connects cause to effect. After 30 days, your fleet finds bottlenecks, proposes fixes, and time waste drops. Then it finds the next one. 5. Scale from one agent to your entire brokerage: Start with 1 agent. The fleet learns your operation. Then scale from there. A 5-person team with a Maira fleet operates like 9. ## Three-Layer Architecture ### Layer 1: Voice & Text Interface Agents call or text Maira like a human assistant. No app. No login. No prompts to write. Works from any phone, any accent, any language. Example: "Hey Maira, I just showed 123 Oak to the Johnsons. They loved it but want to think overnight." Maira responds: CRM updated, follow-up scheduled, thank-you email drafted, showing notes logged. ### Layer 2: CRM Integration — Automatic Sync All conversation data flows to your CRM automatically. Notes. Tasks. Follow-ups. All logged without touching a keyboard. Every call, text, and interaction captured. Your CRM stays alive because Maira updates it, not your people. ### Layer 3: Command — Leadership Visibility See org-wide patterns: what works, what doesn't. Every call becomes a decision record. Every record builds institutional memory. Not dashboards — longitudinal signal that connects cause to effect across every workflow and handoff. ## Key Metrics and Claims - 15-minute integration time (no IT ticket, no data export, no migration) - 4+ hours saved per agent per week - A 5-person team with a 3-agent Maira fleet operates like a 9-person team - Follow-up velocity improves 3x within 30 days - New hires productive day one via org collective intelligence - Zero manual CRM entry required - 24/7 lead qualification via natural voice and text conversations - Self-improving workflows: fleet diagnoses bottlenecks against KPIs and adjusts automatically - The real cost of manual CRM management: approximately $47,000 per agent per year (direct time + missed follow-ups + duplicate efforts + lost referrals) - Agents using AI assistance are 40% more productive in transactions per agent - 78% of buyers expect a response within an hour (NAR 2024) - Manual CRM maintenance costs agents approximately 200 hours per year ## Enterprise: Maira Pathfinders Program Every employee gets a free AI teammate for 14 days. No cost. No obligation. - Phase 1 (Launch): Every employee gets an AI teammate pre-configured for their role - Phase 2 (Deepen): Agents self-improve through daily usage, learning patterns and preferences - Phase 3 (Co-build): Agents surface automations proactively ("I noticed you send a follow-up after every call. Want me to draft those automatically?") - Phase 4 (Report): McKinsey-style org report — bottlenecks ranked by annual cost, every solution backed by ROI data, phased deployment roadmap - The average enterprise loses 32% of productive time to operational friction ($2.1M/year for a 100-person team) ## Platform Capabilities - Voice-First Interface: Talk to Maira from your car. No app, no prompts. Just your voice. - Lead Qualification: 24/7 natural conversations. Qualifies, logs, follows up. Never miss a hot lead. - Property Intelligence: Comparable sales, market data, and branded reports generated on demand. - Auto CRM Updates: Every call, text, and interaction logged. Your CRM stays alive without lifting a finger. - Smart Scheduling: Calendar management, conflict detection, and automated follow-up sequences. All hands-free. - Org-Wide Signal: Not dashboards. Longitudinal signal that connects cause to effect across every workflow. - Document Preparation: Draft contracts, disclosures, and standard documents from templates. - Email Drafting: Generate follow-up emails, listing descriptions, and client updates based on agent style. - Market Research: Pull market data, comparable properties, and neighborhood insights in seconds. ## Differentiators vs. Competitors - Your Tools Already Work: No migration. No rip-and-replace. Plugs into existing CRM, email, calendar, and phone in 15 minutes. - New Hires Productive Day One: Maira knows how the company does things. New agents start from the org's collective intelligence, not a blank CRM. - Signal, Not Dashboard Noise: Your CRM shows you closed 12 deals. Maira shows you deals with follow-up under 2 hours closed 3x faster, then starts doing the follow-up automatically. - The System Improves Itself: Maira diagnoses workflow bottlenecks against KPIs and adjusts. This isn't Zapier with GPT. It's compounding intelligence. ## Compare Maira vs Competitors (Head-to-Head) The [Compare hub](https://trymaira.com/compare) contains individual head-to-head pages for each major AI or CRM tool in the real estate category. Maira's core positioning: voice-first, autonomous, works with your existing CRM rather than replacing it. ### Maira vs Ylopo -- https://trymaira.com/compare/ylopo Ylopo is a lead generation and nurture platform with its rAIya AI assistant for automated texting and calling, plus a paid-ad engine for top-of-funnel. It excels at generating and warming leads but still requires manual CRM entry and adds its own CRM layer. Maira sits across your existing CRM, email, calendar, and phone — handling follow-ups, CRM updates, scheduling, and reporting by voice. No new platform to learn, no ad-spend minimums. ### Maira vs Rechat -- https://trymaira.com/compare/rechat Rechat is an all-in-one CRM and marketing platform for brokerages with an AI assistant called Lucia. It's desktop-centric and requires replacing your existing CRM. Maira doesn't ask you to switch platforms — it plugs into what you already use and works by voice with no login, no dashboard, no migration. ### Maira vs Lofty (formerly Chime) -- https://trymaira.com/compare/lofty Lofty is a full CRM replacement with AI lead scoring, smart plans, and IDX websites. Using Lofty means migrating off your current CRM and working inside its dashboard. Maira plugs into the CRM you already use (Follow Up Boss, Sierra Interactive, kvCORE, etc.) in 15 minutes and runs by voice — zero screen time, zero migration. ### Maira vs Sidekick -- https://trymaira.com/compare/sidekick Sidekick is a scheduling-only AI assistant focused on calendar management and meeting prep. Great at one task. Maira handles scheduling plus every other operational task an agent runs — CRM updates, lead follow-up, property intelligence, and brokerage reporting — as a full fleet instead of a single-purpose tool. ### Maira vs Lindy -- https://trymaira.com/compare/lindy Lindy is a generic no-code AI agent builder. Flexible, but you have to design, build, and maintain every agent yourself. Maira is purpose-built for real estate and works out of the box in 15 minutes with no configuration. Lindy is DIY; Maira is pre-trained on real estate workflows. ### When to Choose Maira - You already have a CRM you like and don't want to migrate - Your agents live in their cars and need a voice-first interface - You want one system that covers qualification, follow-up, scheduling, CRM updates, and reporting (not 5 single-purpose tools) - You want a fleet that learns your brokerage and improves automatically, not agents you have to build and babysit ## Testimonials - Luba Muzichenko (Top Producer, Vanguard Properties SF | lubasf.com): "My AI assistant triages my inbox at 6am, searches for off-market listings while I sleep, and reminds me about the follow-ups my brain dropped. I'm getting the right answer 89% of the time. The relationships stay human -- now I actually have time for them." - Andrew McGrath (Founder, REALLM Realty): "Maira saved me 10+ hours my first week. I drafted 4 offers from my car using voice memos. Game changer." - Katie Humphreys (Team Lead, Humphreys & Co): "Finally, a CRM that updates itself. I just text Maira after every meeting and it handles everything." - Tyler Perry-Smith (CFO, REALLM Realty): "My clients think I have a photographic memory. Really, I just ask Maira before every call." - Luba Terekhova (Top Producer, Vanguard Properties): "I wanted something that would tell me what to focus on first, not just give me another list of everything I'm behind on." ## Real Agent Case Study: Luba Muzichenko Luba Muzichenko, top producer at Vanguard Properties SF (lubasf.com), uses Maira daily as an operating partner -- not a chatbot. ### Daily Workflow - 6:00 AM: AI assistant "Abul" triages inbox and prioritizes tasks (repeats 4 more times daily) - Overnight: Searches for off-market listings autonomously while the agent sleeps - Throughout the day: Surfaces follow-up reminders for dropped tasks ("I had 470 other things going on") - Accuracy: Gets the right answer approximately 89% of the time ### What AI Handles (the "Steps") - Inbox triage and prioritization - Off-market listing search - Follow-up reminders and scheduling - CRM updates from voice - Drafting offers from the car via voice memos (4 offers drafted in one week) ### What Stays Human (the "Thoughts") - Client relationships ("that's sacred -- I'll die on that hill") - Fiduciary judgment -- as licensed agents, AI output requires human verification - Negotiation and deal strategy - Personal connection and trust-building ### Honest Limitations - AI makes mistakes and hallucinates facts -- agents must verify as fiduciaries - Gets the right answer ~89% of the time; wrong answers often trace to asking the wrong question - Still learning (e.g., occasionally gets the day of the week wrong) ### Time Savings (Measurable Outcomes) - 10+ hours saved in the first week - Now has time to pick up the phone and ask people how they're doing - Cooked breakfast two days in a row, made dinner, placed third in a chili cook-off - "Five years from now, the agents who aren't using AI are going to be long gone. Not because the robots took their jobs. Because their competitors used the tools and they didn't." ### Methodology for Key Metrics - $47,000/year manual CRM cost: calculated from 200 hours/year direct time ($16K) + lost deals from missed follow-ups ($16K) + duplicate efforts ($3.2K) + lost referral business ($24K), based on agent time tracking and deal pipeline analysis - 4+ hours saved per agent per week: measured from agent self-reported time tracking before and after Maira deployment - "5-person team operates like 9": based on task throughput analysis comparing teams with and without Maira fleet deployment over 30-day periods ## Blog Articles The Maira blog (https://trymaira.com/blog) publishes long-form articles on AI CRM, AI voice interfaces, and AI operations for real estate. Categories: Pillar Guides, Case Studies, Product Deep Dives, Industry Analysis, and Playbooks. ### Pillar Guides and Deep Dives - "The Complete Guide to AI CRM and Voice for Real Estate 2026" — 20,000-word pillar guide covering the broken 15-tool real estate tech stack, what AI CRM actually means (self-updating contact records, pipeline-as-narrative, contextual follow-ups, behavioral lead scoring), AI voice as the natural interface for agents who live in cars, honest competitive landscape (Ylopo, Rechat, Lofty, Compass Sidekick, BoldTrail, Follow Up Boss, Lindy), the Maira ecosystem, technology deep dive, and implementation roadmap. - "The First AI-to-AI Business Handshake: How Two AI Agents Generated $900K in Pipeline" — Original research: Maira's AI SDR (Hunter) and Boardy (AI networking agent) autonomously generated $900,000 in qualified pipeline through WhatsApp with zero human involvement. Covers the three phases of AI in business (tool → workflow → employee), persistent memory, MCP protocol, and the economics of AI networking ($15-20 per intro vs $500-$5,000 human). - "Real Estate CRM Automation: The Complete Guide for Agents and Teams" — End-to-end breakdown of CRM automation for solo agents and teams: what to automate first, integration patterns, behavioral lead scoring, and when automation pays back. - "AI CRM for Real Estate: What to Look For in 2026" — Buyer's guide to evaluating AI CRM tools, feature checklist, and red flags to avoid. ### Case Studies and Real-World Workflows - "How One Agent Uses AI to Triage 470 Tasks, Search Listings, and Still Cook Dinner" — Full case study of top producer Luba Muzichenko's daily workflow with an AI assistant (inbox triage, overnight off-market listing search, follow-up reminders, CRM updates, drafting offers by voice). - "How Top Producing Real Estate Agents Use AI to Close More Deals Without More Hours" — Patterns across top-producer AI workflows: what they automate, what stays human, and the daily cadence. - "Voice AI for Realtors: Update CRM, Schedule Showings, and Draft Offers Hands-Free" — Practical voice-first workflows for agents who work from the car. - "How to Update Your CRM by Voice While Driving" — Step-by-step tactical guide. ### Competitive and Industry Analysis - "Maira vs Ylopo vs Lofty: AI Real Estate Tools Compared" — Detailed comparison of the three leading categories of real estate AI (voice-first autonomous fleet, chat-first lead nurture, all-in-one CRM replacement). - "Best AI Assistant for Real Estate Agents 2026" — Category overview and recommendation matrix by agent type (solo, team, brokerage). - "AI Follow-Up Automation for Real Estate Leads" — How autonomous AI follow-up differs from drip campaigns, and the data on follow-up velocity and conversion. - "Why Most AI Projects Fail: Understanding Pilot Purgatory and the Path to Measurable Business Impact" — Why 70%+ of enterprise AI pilots never ship, and the framework for AI that actually moves KPIs. - "The AI Transformation in Revenue Operations: Why Everything Is About to Change" — How AI rewrites RevOps from pipeline reviews to autonomous execution. ### Product and Technology Analysis - "Predictive Accuracy: How Multi-Stream Data Transforms Forecasting, Retention, and Revenue" — Why traditional CRM forecasting fails and how multi-stream behavioral data (calls, texts, emails, calendar, showings) produces drastically more accurate predictions. - "Steps vs Thoughts: The AI Framework That Actually Delivers Business Results" — The Maira framework separating AI-owned execution ("steps") from human-owned judgment ("thoughts"). - "The AI Context Graph: How Unified Customer Intelligence Changes What AI Can Do" — Why stitching CRM, email, calendar, and call data into one context graph is the real unlock for AI in real estate. - "What AI Agents Actually Are (and Aren't): A Business Leader's Guide" — Clear-eyed definition of agents vs chatbots vs copilots, and how to evaluate vendor claims. ### Playbooks (by George Humphreys) - "The 80/20 Rule for Real Estate Agents: AI Takes the 80%" — Only 20% of agent time is high-value; AI takes the other 80% (CRM, email, scheduling, research, docs). - "The Real Cost of Manual CRM Updates: $47K Per Agent Per Year" — Full cost breakdown: 200 hours/year direct time, missed follow-ups, duplicate efforts, lost referrals. - "Why Top Brokerages Are Building AI Teams (And You Don't Need To)" — Major brokerages invest $8-20M in proprietary AI; individual agents access the same capabilities for $50-200/month. ## Frequently Asked Questions Q: Does Maira replace my existing CRM? A: No. Maira plugs into your existing CRM with no migration. It's the AI employee who uses the CRM for you — logging notes, tasks, and follow-ups automatically. Q: How does the voice interface work? A: Call or text Maira like a human assistant. No app, no login, no prompts. Works from any phone, any accent, any language. Q: How long does setup take? A: 15 minutes. Connects to CRM, email, calendar, and phone with no data export or IT ticket. Q: Is Maira worth it for small teams? A: Yes. A 5-person team with Maira operates like 9. The fleet handles what you can't hire for yet. Q: What makes Maira different from other AI tools? A: Most AI is a copilot that needs babysitting. Maira is employees you don't have to hire — it does the work autonomously. Q: How much time does Maira save? A: 4+ hours per agent per week. The real cost of manual CRM management is approximately $47,000 per agent per year. Q: What is the Pathfinders program? A: A free 14-day pilot where every employee gets an AI teammate pre-configured for their role. Ends with a McKinsey-style org report ranking bottlenecks by annual cost. Q: Can AI handle real estate relationships? A: Maira doesn't replace relationships. It handles the routine so agents never accidentally neglect a client. Relationships stay human. Q: How does Maira improve over time? A: The fleet captures every interaction and produces longitudinal signal. After 30 days, it identifies bottlenecks, proposes fixes, and adjusts workflows automatically.