eXp Realty führt Mira ein, einen KI-Assistenten

ai — Was Mira ist und das Kernangebot

Mira ist der neue KI‑Business‑Assistent von eXp für Agenten. Beim General Session auf der expcon miami wurde die Einführung von Mira vor einem großen Publikum von Agenten und Partnern angekündigt. Der für die Brokerage entwickelte Assistent kombiniert Sprache und Text, sodass Agenten Fragen auf Englisch per Sprache oder Text stellen und sofort Antworten erhalten können. Funktional ist Mira ein KI‑gestützter Business‑Assistent, der On‑Demand‑Geschäftsdaten wie den Status der Provisionsgrenze, kürzliche Abschlüsse, die Gesundheit der Downline und Kennzahlen zur Revenue‑Share anzeigt. Er erstellt außerdem E‑Mail‑Entwürfe, kurze Vorlagen und führt einfache Aufgaben‑Prompts aus, um routinemäßige Arbeitsabläufe zu automatisieren.

Zum Beispiel kann ein Agent fragen: „Wie hoch ist meine Provisionsgrenze diesen Monat?“ und Mira zieht die Zahl aus den proprietären Systemen von eXp. Oder ein Agent kann sagen: „Zeig mir meine bevorstehenden Abschlüsse,“ und Mira gibt eine Liste zurück. Das Produkt zielt darauf ab, Agenten sofortige Sichtbarkeit über die Gesundheit ihres Geschäfts zu geben und zu vereinfachen, wie Agenten auf Informationen zugreifen und ihre Geschäfte führen. Das Unternehmen kündigte den Start von Mira während der expcon miami an, und in den öffentlichen Aussagen wurde die Formulierung „announced the launch“ verwendet, um den Zeitpunkt und die Verfügbarkeit im Jahr 2025 zu unterstreichen.

Mira kombiniert Natural Language Processing mit den proprietären Daten‑Connectors von eXp, sodass es im agentenzentrierten Datenökosystem sowie über CRM‑ und Transaktions‑Tools hinweg arbeiten kann. Es ist als persönlicher KI‑Assistent und persönlicher Assistent für alltägliche Geschäftstätigkeiten positioniert, nicht als Ersatz für das Urteilsvermögen der Agenten. Agenten haben nun sofortige Einsicht und können Mira nutzen, um Zeit zu sparen, Routinearbeit zu reduzieren und mehr Abschlüsse zu erzielen. Für technisch interessierte Leser: Mira arbeitet mit Natural Language Processing, den APIs von eXp und einem Berechtigungsmodell, das den Zugriff auf sensible Felder einschränkt.

Visual suggestion: a screenshot mock of a voice query returning a commission cap and upcoming closings on a simple dashboard for an agent.

exp — Warum Mira zum virtuellen Broker‑Modell von eXp passt

eXp ist als cloud‑native, virtueller Broker aufgebaut. Mira erweitert dieses Modell, indem es als jederzeit verfügbarer Business‑Assistent dient, der zu Remote‑Workflows passt. Das System bietet Agenten eine einfache Plattform, um Fragen zu stellen, Geschäftseinblicke abzurufen und leichte Automatisierungen über mehrere Tools auszuführen. Da eXp‑Agenten in verschiedenen Zeitzonen und Märkten arbeiten, reduziert der Assistent Reibungsverluste und standardisiert Antworten für häufige Anfragen wie Revenue‑Share‑Berechnungen und Onboarding‑Checklisten.

Die Plattform passt zur nächsten Agenten‑Technologie‑Schulung von eXp University und zur Unternehmensstrategie, KI und Automatisierung in den Alltag zu integrieren. Für Mitarbeiter und Trainer bietet Mira eine konsistente Dashboard‑Ansicht, auf die Agenten beim Unterrichten neuer Agenten bauen können. Die Präsentation auf der expcon miami betonte, dass eXp Tools einführt, die exklusiv für eXp entwickelt wurden, und dass Mira Teil der Produktroadmap von eXp ist.

Für geografisch verteilte Teams ist der Nutzen klar. Anstatt mehrere Portale zu durchsuchen, haben Agenten jetzt sofortige Einsicht in die Provisionsgrenze und den Pipeline‑Status. Diese Fähigkeit hilft Wohnimmobilien‑Agenten in den USA und ihren Kollegen im Ausland, schnellere Entscheidungen zu treffen. eXp realty führt Mira als fortschrittlichen, KI‑gestützten Business‑Assistenten ein, der darauf ausgelegt ist, den Zugriff auf Informationen und die Geschäftsabwicklung für Agenten zu vereinfachen. Das Unternehmen hofft, dass dies die Agentenakzeptanz erhöht und einen Wettbewerbsvorteil bei Rekrutierung und Bindung bietet.

Für Ops‑Teams mit hohem E‑Mail‑ und Aufgabenaufkommen gelten ähnliche Prinzipien. Unsere Arbeit bei virtualworkforce.ai zeigt, wie KI‑Agenten manuelle Triage reduzieren und Antworten beschleunigen; siehe unseren Leitfaden zu wie Sie den Kundenservice in der Logistik mit KI verbessern für eine praktische Anleitung zum Reduzieren von Routinearbeit und Zeitersparnis durch automatisches Entwerfen und Weiterleiten. Dieser Ansatz hilft Firmen wie eXp, eine einzige Quelle der Wahrheit für Agentendaten zu behalten.

ai-powered & real-time — How agents will interact (voice, text and live data)

Agents will interact with Mira by voice or text. They will ask questions, get answers and request simple automations. For instance, an agent could say, “Mira, show my next three closings,” and Mira will return event times and contacts. Or the agent could type, “Draft a followup to a buyer who toured 123 Main Street,” and Mira will create an email draft that the agent can edit. This mix of voice and typed flows makes Mira a practical assistant for field work and home offices.

Real‑time access matters. When data updates in the brokerage systems, Mira reflects those changes so agents can act quickly. That real-time feed reduces the need for manual lookups and helps agents make faster decisions. However, real-time also brings limits: data quality matters, syncing must run correctly, and permissions must be strict. ISG’s provider report highlights integration and governance as common barriers; teams should plan for testing and audit trails ISG AI Agents Software Provider Report.

In live examples, an agent might query commission cap and get a short summary. Or the agent could use Mira to run a CRM action and tag a contact for followup. Mira aims to support common CRM workflows and to reduce repetitive admin. For agents who juggle dozens of tasks, cutting admin time matters; case studies of AI agents show up to a 30% productivity gain in sales roles, which directly impacts how many deals an agent can close KI‑Agenten in Aktion.

Technical limits remain: latency on peak days, permissioned fields that hide certain financials, and occasional errors in natural language understanding. Nevertheless, the promise is simple. Mira gives agents faster access to real-time data and systems and reduces busywork so agents can focus on clients. For more on automating message drafting that mirrors what Mira does for emails, see our post on automating logistics emails with Google Workspace and virtualworkforce.ai Logistik‑E‑Mails mit Google Workspace automatisieren.

ai accelerator series, 11 ai trainers and coaches, training agents — How eXp will onboard agents

eXp University is running an exp university ai accelerator series to train agents on Mira and related tools. The exp university’s next agent technology training is an instructor-led eight-week programme that mixes demos, labs and live coaching. The launch included 11 ai trainers and coaches who will lead cohorts and create practical materials. These instructors will show agents how Mira combines natural language processing with exp’s proprietary connectors to surface business insights safely.

Training agents will cover topics such as granting permissions, asking good prompts, using templates and validating outputs. Sample lesson topics include: how to request commission cap queries, how to run a downline health check, and how to use Mira to draft short followup notes that agents can personalise. The course includes replays and a resource library so learners can revisit modules on demand. It also includes assessments that require agents to complete hands-on tasks using the assistant and to submit short demos.

The programme emphasises practical adoption. Trainers will measure agent adoption and time saved per task. They will also track agent feedback and bug reports to close integration gaps. The exp university ai accelerator series is part of the exp plan to integrate ai and automation into everyday operations. Trainers will coach agents across markets and will host Q&A sessions after every module to reinforce learning.

To help brokers and ops leaders, the training shows how to map Mira actions into existing workflow and CRM steps. For teams that already use AI tools for emails and routing, this is familiar territory; our own work at virtualworkforce.ai on virtueller Logistikassistent explains how to map data sources to automated replies for consistent outcomes. The result should be faster agent onboarding, improved template use and lower error rates when agents rely on Mira for routine tasks.

streamline — Expected productivity gains and workflow changes

Industry studies suggest AI can reduce administrative time by almost a third, which translates to up to a 30% productivity gain in sales roles. If Mira delivers similar results, agents will spend less time on communication and admin and more time with clients. Practical changes include automated followup, faster lead qualification and a tighter CRM workflow that keeps records current. Metrics to track include time saved per task, lead response time and closed deals per month.

On a day-to-day level, Mira will automate repetitive email drafts, schedule followups and populate transaction dashboards. Agents will use templates for routine replies and will let Mira handle simple triage. Our clients see large gains when they let AI handle the full email lifecycle; that same principle applies to real estate messages. For a closer look at end-to-end automation patterns, review automated logistics correspondence and note parallels for property transaction workflows automatisierte Logistikkorrespondenz.

Example prompts show the change. An agent might say, “Mira, send a followup to my open house leads,” and Mira will draft and queue messages for approval. Or the agent might ask, “Show my top leads who haven’t replied in seven days,” and Mira will list names with next steps. These actions compress multiple tools into one simple platform and reduce context switching across MLS, crm and transaction systems.

Key performance indicators will include reduced busywork, faster initial responses and improved conversion rates. Teams will monitor agent adoption and adjust training. If the pilot mirrors other AI deployments, leaders should expect incremental gains that compound over time. The launch demonstrates how an ai-powered assistant can streamline operations, help agents save time and close more deals, and align the brokerage with modern agent expectations.

ai trainers and coaches — Risks, governance and next steps

Introducing Mira brings governance questions. eXp must ensure secure access controls, audit trails and compliance with local regulations. The rollout plan includes pilot KPIs, staged access and ongoing ai training for coaches and admins. Operational risks include over-reliance on imperfect outputs, integration gaps with legacy systems and potential data-sync failures. Teams will need to test permissions and set fallbacks for critical financial fields.

Security measures should include role-based access, encryption for sensitive records and an approval workflow for any automated communications that affect legal disclosures. eXp’s proprietary connectors will need regular audits so data and systems to give agents reliable answers. The chief technology officer and ops leads will publish protocols and run red-team checks before broad adoption. As one observer noted about AI agents generally, “Everyone is talking about AI agents. But so far, a lot of that has just been, well, talk.” That quote underlines the need for practical governance and measured rollout The State of AI Agents in 2025.

Next steps include expanding pilot cohorts, refining templates and adding more connectors so Mira can read tickets, calendar events and CRM notes. Pilot KPIs will measure agent satisfaction, time saved and the accuracy of financial queries. The team will also run user feedback loops and iterative releases to close gaps. Firms that integrate ai and automation well will likely gain a massive competitive advantage, but success depends on measured controls and continuous training agents in prompt design and verification.

Operational teams that already automate emails and route tasks should find the concepts familiar; learnings from email automation programs can transfer directly, as documented in our post on AI for freight forwarder communication which outlines governance and escalation patterns that work in operations KI für Spediteurkommunikation. Proper governance will make Mira a practical, compliant tool rather than a risky experiment.

FAQ

What is Mira and who announced the launch?

Mira is eXp’s new AI business assistant for agents. eXp announced the launch of mira at expcon miami during a general session when company leadership discussed the tool and next steps.

How do agents interact with Mira?

Agents interact with Mira by voice or text. They can ask questions, request email drafts and trigger simple automations through natural language prompts.

Will Mira integrate with my CRM?

Yes, Mira is designed to work with common CRM workflows and dashboards. Integration depends on permissions and connector availability within exp’s proprietary systems.

What training is available for agents?

eXp University runs an exp university ai accelerator series, an eight-week instructor-led programme. The course includes coaching from 11 ai trainers and coaches and practical labs to help agents learn hands-on tasks.

How much time can Mira save agents?

Studies suggest AI can reduce administrative time by nearly a third, which could translate to up to a 30% productivity gain in some sales roles. Real results will vary by use and adoption.

What security measures are in place?

Governance includes role-based access, audit trails and encryption for sensitive data. eXp will run pilot audits and require staged access to ensure compliance before full rollout.

Can Mira draft client emails?

Yes, Mira can draft email drafts and templates for agents to review. This reduces busywork while leaving final approvals and personalised edits to the agent.

Will Mira replace human agents?

No. Mira is a personal assistant designed to help agents automate routine tasks and streamline workflows. It supports decisions rather than replacing agent judgement.

How will eXp measure success?

Pilot KPIs will include time saved per task, lead response time and closed deals per month. The team will also monitor agent adoption and satisfaction metrics.

Where can I learn more about using AI safely in operations?

For practical examples of governance and automation in operations, see virtualworkforce.ai resources such as the Seite zum virtuellen Logistikassistenten and posts on das Automatisieren von Logistik‑E‑Mails mit Google Workspace. These pages describe controls, escalation paths and how to automate message drafting responsibly.