Less admin drag
Inbox notes, scattered ideas, open loops, and next steps become organized tasks, summaries, drafts, and operator handoffs.
REALTY OS AgentOps gives real estate agents a managed agent team with memory, approvals, task queues, and human-style agent interfaces. Each agent can be typed to or spoken to, then routed through Hermes and the best available LLM for the job.
Chief of Staff agent. Coordinates daily priorities, inbox triage, follow-up tasks, approvals, and operator handoff.
The offer is not a chatbot bundle. It is a managed AI operations team that creates work product, queues tasks, drafts client-facing assets, and keeps the agent moving on revenue-producing activity.
Inbox notes, scattered ideas, open loops, and next steps become organized tasks, summaries, drafts, and operator handoffs.
Lead touches, past-client nurture, open house follow-up, and database revival get drafted and queued instead of forgotten.
Social posts, Google Business updates, Canva briefs, reels scripts, listing launch content, and newsletters are prepared for approval.
Agents can work 24/7, but public posts, client messages, CRM edits, appointments, and sensitive actions stay approval-gated.
Select the bottleneck agents a Realtor would want first. The system recommends the right starter package and carries the selection into the setup review.
Every client starts with one managed package. Add-ons stay inside the client account after onboarding, so the public offer stays clean.
This should be sold as operational leverage, not cheap software. The client is buying setup, workflow design, monitoring, and access to managed agents.
Strong control, but usually the highest cost and hardest hiring path.
Lower labor cost, but process quality depends on training and supervision.
Managed AI agents configured around the client's bottlenecks.
| Option | Typical Monthly Spend | Typical Annual Spend | What The Realtor Still Manages |
|---|---|---|---|
| Stateside real estate assistantSalary-only average plus estimated loaded cost | $3,866-$4,833/mo$3,866 salary-only; about $4,833 with 25% payroll/benefits/equipment overhead | $46,391-$57,989/yrOne person, business-hours availability, hiring/training burden | Payroll, onboarding, supervision, turnover, vacation/sick time, and coverage gaps. |
| Overseas real estate VAManaged part-time to full-time offshore support | $547-$2,500/moLow managed/part-time VA can be cheaper; stronger full-time coverage is usually higher | $6,564-$30,000/yrCost depends heavily on hours, skill, provider, and supervision required | SOP writing, daily management, QA, communication quality, time zones, and replacement risk. |
| REALTY OS Starter3 managed agents | $697/mo$1,500 setup; first-year total includes setup | $9,864 first yearCOO, Email/Task, and Social agents | Approvals, tool access, and setup feedback. No payroll or employee management. |
| REALTY OS Growth5 managed agents | $997/mo$2,000 setup; first-year total includes setup | $13,964 first yearAdds Lead Follow-Up and Listing Prep | Approvals, tool access, and setup feedback. Better coverage for revenue workflows. |
| REALTY OS Scale7 managed agents | $1,297/mo$2,500 setup; first-year total includes setup | $18,064 first yearAdds Buyer Concierge and Past Client/Nurture | Approvals, tool access, and setup feedback. Broader operating stack from day one. |
Notes: stateside assistant salary benchmark uses Salary.com 2026 real estate administrative assistant data. Overseas VA ranges use current 2026 real estate VA/VA pricing references. Lowest part-time offshore VA options can cost less than AgentOps; AgentOps is positioned as a managed multi-agent operating system, not the cheapest labor option. Sources: Salary.com, Elevated Remote Services, Hire Overseas.
Compare a package against the monthly cost of a stateside assistant, an overseas VA, a social media manager, or the prospect's actual current spend.
$697/mo plus $1,500 setup
Includes setup fee in AgentOps cost.
Removes one-time setup fee.
Based on monthly cost difference.
The real estate agent should not feel like they are typing into a blank chatbot. Each role gets a recognizable agent identity, memory, voice input, approval rules, and model routing.
Each agent has a name, face, role, voice/text interface, and clear operating lane so conversations feel like a real assistant relationship.
Hermes acts as the command router: it decides the agent, workflow, memory, tools, approval requirement, and model path.
The answer layer can use ChatGPT, Kimi, Qwen, or another approved model depending on quality, cost, and task type.
The client's package unlocks 3, 5, or 7 agents at launch, then more can be added later. The roster mirrors the personal REALTY OS idea: each bottleneck becomes a named agent with a face, chat, memory, tools, and scheduled work.
OperationsDaily priorities, handoffs, open loops, operator brief, and escalation rules.
AdminInbox summaries, reply drafts, task extraction, and deadline flags.
ContentLocal posts, reels briefs, Canva briefs, platform variants, and approval queue items.
RevenueLead temperature, next-touch plans, follow-up drafts, and stale lead recovery.
ListingsSeller questions, CMA narrative drafts, listing copy, and launch checklist prep.
BuyersBuyer summaries, showing notes, property comparisons, and education drafts.
ReferralsHomeowner touches, referral prompts, anniversaries, and sphere follow-up.
Open HousesPromotion, sign-in follow-up, neighbor outreach, and post-event lead sorting.
ClosingsMilestones, missing items, reminder drafts, and contract-to-close visibility.
Team GrowthRecruiting outreach, candidate notes, interview prep, and follow-up tasks.
MarketLocal stats, talking points, homeowner education, and compliant market angles.
DatabaseTagging recommendations, pipeline notes, cleanup plans, and follow-up tasks.
ScheduleScheduling drafts, appointment prep, reminders, and calendar conflict summaries.
DesignCreative briefs, on-image copy, asset requests, and format variations.
Local SEOGoogle Business posts, review replies, local updates, and visibility tasks.
AlertsDaily briefs, urgent alerts, and mobile summaries without useless noise.
ReputationReview requests, response drafts, testimonial follow-up, and reputation tasks.
PipelineDormant contact segmentation, revival campaigns, and warm-opportunity lists.
LaunchAsset checklists, launch timelines, marketing handoffs, and missing approvals.
ShowingsShowing routes, feedback summaries, property comparisons, and post-tour next steps.
Offer PrepOffer checklists, buyer questions, fact summaries, and missing-info flags.
Risk ControlFlags risky copy, unsupported claims, fair housing concerns, and approval needs.
The agent is the conversational front end. Hermes is the orchestration layer. Tools, APIs, approval queues, and scheduled jobs are what turn a reply into operational action.
When the client asks for work, the agent should classify the request, pull memory, choose the workflow, draft the output, create a task or approval item, then hand off to the correct integration.
Scheduled jobs make the system proactive instead of waiting for the Realtor to remember what to ask.
Checkout remains private. You review fit, choose the right package, configure the account, then send the Stripe checkout link from admin.
Confirm business goals, agent needs, platforms, service area, and readiness.
Collect AI, Google, Canva, Telegram, CRM, brand, and approval requirements.
Configure selected agents, memory, playbooks, approval rules, and launch tasks.
Activate access after payment and setup readiness are confirmed.
AgentOps can be sold on its own or offered later as the Level 2 implementation path for Boot Camp graduates.
Submit the bottlenecks you want REALTY OS AgentOps to solve. Checkout is not automatic; fit and package are reviewed first.
Ask what this agent does, what tools it needs, what it can do proactively, or how it saves time.