Mira: AI for eXp agents launches at eXp Realty

AI: Mira at a glance — an AI-powered assistant eXp launched for exp realty agents

Mira is an AI-powered business assistant designed to help agents manage routine work and surface real-time business insights. First announced publicly as exp realty launches Mira in a staged rollout, the assistant built by eXp aims to give agents immediate market context during client interactions and to free time for selling. The product is an ai assistant built to listen, summarise and recommend actions, and it accepts commands via voice or text.

The core features include meeting summaries, real-time insights, and multimodal support so agents can work from desktop, tablet and phone. For example, meeting summaries provide actions, decisions and contact notes in short form; those meeting summaries can be saved directly to a CRM record and shared with clients. In addition, Mira supports voice or text input and can be invoked inside gmail for draft followup messages and reminders. This reduces admin and helps exp agents keep momentum after listing appointments.

Why this matters is simple. By design, Mira frees time from admin, surfaces market data during calls, and proposes next steps when an agent needs them. As a result, agents save time and close more deals. The launch follows strong industry momentum: 88% of senior executives plan to increase AI budgets within a year, showing business confidence in uses of AI for functions like lead generation and market briefs (PwC AI agent survey). For real estate professionals, this is especially useful because AI can accelerate tasks in many occupations and workflows (MIT Sloan research).

At rollout, exp realty® described Mira as a personal assistant for agents across locations and time zones. The product gives agents standardised followup options, templates and suggested pricing talking points based on live market data. For agents who already use AI tools, Mira aims to integrate with core systems to reduce duplicate work. Finally, Mira supports the brokerage model by helping distributed teams collaborate and by feeding consistent summaries into teams and managers.

exp businesses and investor relations ai: where Mira fits in business workflows and investor messaging

Mira does more than support transactions. It also supports exp businesses and investor relations by producing succinct market briefs, investor updates and presentation notes. In practice, an agent or executive can ask Mira for a one-page market brief, for slide bullets or for a short board-level demo script. Then Mira pulls real-time data and systems to give agents a coherent, source-linked summary. This helps investor relations teams who need quick, accurate updates.

For the core subsidiary of exp world, Mira provides a bridge between local agent activity and enterprise reporting. As firms increase AI and automation budgets, Mira becomes a platform to harvest anonymised trends and to surface metrics to investors and boards. A 2025 analysis highlighted that “AI improves efficiency, productivity, decision-making, innovation, and customer experience across various sectors,” which supports using AI for investor messages (Syracuse iSchool).

Because exp is a distributed, virtual brokerage, the product streamlines communications between agents and corporate functions. For example, Mira can draft an investor-ready summary after a major recruitment event or produce a revenue share model update. It also supports exp world holdings by creating repeatable briefings that senior leaders can review rapidly. In addition, Mira can tag content for compliance teams to review, which is important for public companies that must govern communications.

Use cases include automatic extraction of weekly activity signals for investor relations, fast prep for earnings calls and concise CEO talking points. When teams need a fast synthesis, Mira reduces manual assembly of decks and spreadsheets. Importantly, Deloitte cautioned that “gen AI agents of all kinds need to be reliable for enterprises to use them: Getting the job right most of the time isn’t enough” (Deloitte). Therefore, governance and validation are part of the workflow as Mira moves from pilot to broad availability.

CRM, followup and agent support: how Mira helps agents get faster conversions

Mira connects to a CRM and automates followup sequences, so leads receive timely and consistent messages. Agents and teams can trigger a sequence after a meeting and Mira will draft personalised followup emails, schedule calls and log the actions back into CRM records. This reduces the manual steps that normally slow response times and lower conversion rates.

Practically, Mira can automate templates for new leads, standardise responses for price-reduction campaigns and produce immediate vendor outreach after inspections. The assistant built to work with existing systems allows agents to keep their preferred tools while Mira drafts messages and suggests next tasks. For example, teams that already use workflow automation can use Mira to fill gaps and to reduce copy-paste errors. Internal operations teams will recognise similarities with automated email lifecycles used in other industries; for more on end-to-end email automation and how it reduces handling time, see automated correspondence examples and ROI analysis at virtualworkforce.ai/automated-logistics-correspondence/ and virtualworkforce.ai/virtualworkforce-ai-roi-logistics/.

Key performance metrics to watch include lead response time, time saved per contact and conversion lift. Industry research suggests AI improves CRM outcomes by enabling personalised outreach and by predicting client needs (AI in CRM research). Therefore, teams should run A/B tests comparing standard followup to Mira-assisted followup, and measure conversion change and time saved. In pilot deployments, teams that automate email drafting reported faster response and fewer errors; virtualworkforce.ai customers typically see handling times fall dramatically when repetitive email workflows are automated (see operational email automation).

When agents get a fast, personalised reply to a lead, their chance to convert rises. In short, Mira helps exp agents by reducing friction in CRM, by speeding followup and by standardising messages across teams.

exp realty agents: real-time insights, meeting summaries and help agents need in the field

Field work is where Mira adds clear value. During listing appointments, buyer calls and vendor negotiations, agents now have an assistant that captures the conversation and returns concise notes. These meeting summaries list actions, owners and deadlines in a format that agents can share immediately. For a busy schedule, that level of clarity helps agents save time and close more deals.

The system accepts voice or text input and delivers summaries within minutes. Agents can ask for an action list, a negotiation brief or a followup script. For example, an agent can say “summarise this call and create a price strategy email” and Mira will draft the message and suggest comparable listings. The natural language interface makes it easy to ask questions like “what are the three priority tasks from this meeting?” and Mira answers in short bullet points.

Accuracy and turnaround are important. Agents now have instant visibility into commitments made on calls, and Mira records timestamps and source references to support compliance. In practice, agents save time by delegating note-taking and by using generated drafts as the basis for final client communication. This improves handoffs when teams collaborate across time zones and office-free setups that define the virtual brokerage model.

Agents should use a short checklist during calls: confirm recording consent, state the meeting purpose, ask Mira to note three priorities and request a followup draft. After the call, agents can edit the summary, send the draft followup and log the result in CRM. For practical tips on automating email lifecycle work that mirrors these steps, see guidance on automating logistics emails with Google Workspace at virtualworkforce.ai/automate-logistics-emails-with-google-workspace-and-virtualworkforce-ai/. Overall, Mira gives agents a practical way to reduce administrative load and to focus on client conversations.

accelerator and ai accelerator series: rollout, training and the human side — including 11 ai trainers and coaches and join exp pathways

eXp plans a phased rollout that begins with a pilot, moves to a phased release and then opens Mira to agents across the network. The rollout pairs technology with training. For example, the company will run an ai accelerator series that combines product demos, hands-on labs and role-play sessions so agents learn when to use automated drafts and when to personalise messages. The program is designed for agents who want practical skills and for teams who will supervise quality.

Training will include modules on compliance, data governance and workflow design. In addition, exp university’s curriculum may include next agent technology training that helps agents integrate Mira into daily routines. eXp has considered a model that places 11 ai trainers and coaches into the field to support local adoption and to address real-world questions. These coaches will lead small group sessions, run office hours and collect feedback to refine the assistant.

Recruitment messaging can reference Mira to attract new talent: agents now have a personal assistant that drafts messages, organises lists and suggests followup actions. For agents considering whether to join exp, the technology and the learning pathway form part of the value proposition. More broadly, the accelerator aims to blend personal and professional development with hands-on use so that agents and teams see tangible gains quickly.

Operationally, the training model emphasises human oversight. Coaches teach agents how to verify outputs, how to route escalations and how to use Mira with exp policy in mind. The training also explains revenue share implications and how to log activities for compliance. As a result, the program supports adoption while protecting brand and investor communications.

Risks, governance and next steps: what exp and exp realty agents should watch for and how Mira helps exp long term

Adopting Mira requires attention to risk areas such as data quality, model reliability and integration issues. Enterprises must ensure the use of AI follows policy and that sensitive data is handled correctly. For example, the team should validate that generated market briefs cite reliable sources and that outgoing messages meet company standards. As Deloitte notes, reliability matters: “Getting the job right most of the time isn’t enough” (Deloitte).

Governance should cover consent, data controls and escalation paths for incorrect outputs. Firms can choose on-prem or cloud options depending on risk posture and on regulatory needs. Also, teams must monitor model drift and run regular audits of automated summaries and CRM entries. For practical automation of email-heavy workflows that share similar governance needs, see virtualworkforce.ai/erp-email-automation-logistics/ for an example of IT-enabled control and zero-code setup.

Recommended next steps for readers are clear. First, run a limited pilot with tracked KPIs: time saved, lead response time and conversion rate. Second, set up a small governance committee to approve templates and escalation rules. Third, train a core group of power users who can mentor peers. Track metrics weekly and adjust prompts and rules to improve accuracy. For operations teams interested in automating email workloads in other functions, the approach used by virtualworkforce.ai shows how to create thread-aware memory and to escalate only when needed (see how to scale operations with AI agents).

Finally, accept that risks and benefits evolve. As more agents already use AI, organisations must keep policies current and must measure impact. By doing so, Mira helps exp long term and supports the virtual brokerage model as it scales. For a view of sector-level uptake, research shows that many executives expect to increase AI investment, which supports continued investment in tools that improve efficiency and client experience (PwC). Practically, agents should test the new ai in low-risk tasks, confirm outputs, and then broaden use as confidence grows.

FAQ

What is Mira and who built it?

Mira is an ai-powered business assistant designed to help agents capture meeting notes, draft followup messages and surface real-time business insights. The assistant built for deployment by exp realty is intended to work with existing systems and to speed routine tasks.

How does Mira integrate with CRM systems?

Mira connects to CRM platforms to log meeting summaries, schedule followup tasks and draft messages that agents can send with a single click. Integration reduces duplicate entry and helps standardise followup so that leads receive consistent attention.

Will Mira record calls and how accurate are meeting summaries?

Mira can accept voice or text input and will create meeting summaries that list actions, owners and deadlines. Accuracy depends on audio quality and on model tuning, so the training phase should include verification and regular audits.

Is Mira suitable for investor relations and board updates?

Yes. Mira can draft market briefs and investor-ready summaries, which speeds preparation for meetings and for board-level demos. However, corporate teams should validate content and cite sources before external distribution to ensure compliance.

What governance should brokerages implement before rollout?

Brokerages should establish consent practices, data access controls and an escalation path for incorrect outputs. They should also audit generated content and set template approvals to align communications with exp policy and legal requirements.

How will training be delivered for agents?

Training will likely use a phased model: pilot, phased release and full access, with hands-on labs and peer coaching. eXp has discussed a model that includes 11 ai trainers and coaches to support local adoption and to provide ongoing help.

Can Mira help with compliance and record keeping?

Mira can log timestamps, source links and summaries that support record keeping and compliance reviews. Nevertheless, agents must follow brokerage policies and retain final responsibility for client communications.

What metrics should teams track after adopting Mira?

Track lead response time, time saved per task, conversion rate and quality of CRM data. Teams should also monitor the rate of escalations and the accuracy of market insights over time.

How does Mira compare with other ai tools or assistants?

Mira focuses on real estate workflows and on integrating with brokerage systems, while other ai tools may specialise in different functions. For teams wanting operational email automation principles, virtualworkforce.ai offers patterns for end-to-end automation that are relevant to large-scale rollouts.

How can agents try Mira and where can they learn more?

Agents should watch for pilot invitations and training announcements from exp realty and from local leaders. To prepare, agents can review best practices for automated correspondence and for CRM integration, including resources on virtualworkforce.ai that explain email lifecycle automation and scalability.