Chatbots, AI agents, and RAG assistants that ship to production, not demos. Designed and shipped for real estate agents, not generic templates with real estate agents swapped in.
Most real estate agents are operating on sites or software stacks built three to five years ago for a different version of the buyer. Listings are entered once in the MLS and re-keyed again for the agent site and portals, so detail and photos drift out of sync. The infrastructure decisions that compound are the ones made with the operator in the room, not the ones made in a vacuum.
Inparlor's AI Chatbots & AI Agents engagement for real estate agents reflects that. We build AI chatbots, in-product assistants, RAG systems over your own data, and autonomous agents that take real actions inside your workflows. The deliverables below are scoped against the unit economics, your AOV and retention, gci per closed transaction of $8,000-$22,000.
Where most agencies treat real estate agents as another vertical to learn on, we treat the vertical as the starting point. The agent website is a slow template that can't show live local inventory, so buyers default to the national portals. We will tell you on the first call which of those constraints is binding and which is solvable inside the engagement.
minutes vs. days
Listing-to-site sync lag
8-16 hrs
Admin hours per transaction
$8,000-$22,000
GCI per closed transaction
60-90%
Deadlines tracked manually
48 hours
AI Chatbots & Agents proposal turnaround
The assistant answers from your docs, policies, and product data, not the open internet. We build the retrieval layer so responses are tied to sources you control, and made-up answers have nowhere to come from.
We build a test set of real questions and grade the assistant against it before launch. It ships when it passes the bar on accuracy and tone, not when the demo happens to look good.
When the assistant is unsure or the user asks for a human, it hands off cleanly with the conversation context attached. Customers never get trapped in a loop, and the team picks up exactly where the bot left off.
We instrument how many questions the assistant actually resolves versus how many escalate, and watch it over time. Deflection is the number that justifies the build, so we report it rather than guess at it.
AI Chatbots & Agents for B2B SaaS
Engineering backlog age: 1-3 quarters
AI Chatbots & Agents for B2C SaaS
Trial-to-paid conversion: 30-60%
AI Chatbots & Agents for Law Firms
Intake response time: <1 hr vs. hours
AI Chatbots & Agents for Accounting Firms
Document collection cycle: 1-3 weeks
AI Chatbots & Agents for Financial Advisors
New-account onboarding time: 3-10 days
AI Chatbots & Agents for Insurance Brokers
Time to quote a risk: 20-60 min
We respond within 48 hours with scope, pricing, and the team that would actually run the engagement.
Get a proposalOr explore the full AI Chatbots & AI Agents page · Real Estate Agents hub