Property Management

AI Agent that Screens Leasing Inquiries Automatically

Built for Property Managers

Sorting through leasing emails manually takes hours. How do you stay responsive without missing strong applicants or double booking your calendar?

This AI-powered automation captures inbound messages, extracts details like budget and move-in date, and runs them through a GPT assistant to assess fit. It logs clean data into Google Sheets and creates calendar events for qualified prospects. Everything stays organized so you can move faster with zero manual sorting.

Try this AI Agent now
Illustration showing real estate automation benefits with 20 hours saved weekly and up to $2k monthly savings, featuring handshake over a signed contract and a smiling woman using a laptop.

What to Expect

Fully automated leasing inquiry handling for busy real estate teams. Built to screen, log, and schedule qualified tenants without the back and forth.

Every new message such as email, text, or voice gets parsed automatically and checked for fit.

n8n automation workflow for lead intake and processing, integrating webhooks, file extraction, Google Sheets, Gmail, OpenAI message models, conditional logic, and calendar scheduling.

This AI-powered automation listens for inbound leasing inquiries and pulls out the key details like budget, unit type, parking, roommates, and more. It runs those details through a custom GPT assistant, checks availability, and books a calendar slot when there's a match with no double booking. Every step is logged to Google Sheets with clean timestamps, and both the team and the applicant get notified right away.

It cuts out the manual review and gets serious leads in front of your agents faster.

The old way?
Done manually.

Here’s what the old process looked like:
Read every message manually
Guess who actually qualified
Send emails back and forth to set appointments
Track replies in your head or scattered notes
Worry if you were handling data the right way
It was slow, error prone, and easy to lose good leads, especially when volume picked up.

The new way?
Fully automated.

With this automation, the entire process gets handled for you:
Pulls key details from email, text, or voice
Runs GPT-powered qualification checks
Books calendar slots without conflicts
Logs every interaction in Google Sheets
Sends confirmations to applicants and team chat alerts
It keeps your pipeline organized and running fast without you needing to lift a finger.

More Output, Less Effort

Claim your free automation session and learn how no-code solutions can handle repetitive work for you.

How the Automation Comes Together

The automation begins the moment an inquiry comes in, with Gmail capturing messages and Vapi managing voice and text-based communication to ensure nothing gets missed.

n8n keeps everything running behind the scenes by coordinating each step, while OpenAI extracts important details from conversations and evaluates how well the applicant fits.

Google Sheets logs every action with a timestamp for easy review, and Google Calendar instantly schedules qualified leads without conflicts, wrapping the process in a clean, efficient loop.
Workflow diagram showing Vapi voice input, n8n automation, email integration, AI processing, Google Calendar scheduling, and Google Sheets data entry.
AI Agent toolkit

Tools used to build this AI agent

n8n logo
n8n

Orchestrates the full lead intake, processing, and interview booking workflow.

google sheets logo
Google Sheets

Logs all structured lead data, including names, preferences, and screening outcomes.

openai logo
OpenAI

Analyzes incoming messages, extracts key applicant details, and evaluates qualifications.

gmail logo
Gmail

Receives tenant inquiries via email, triggering the automation.

google calendar logo
Google Calendar

Books interview slots automatically for qualified applicants, with no conflicts.

vapi logo
Vapi

Captures voice or text-based inquiries from tools like Vapi and routes them into the workflow.

What You'll Gain

200 to 500 leads captured each month

No more chasing emails or listening to every voicemail just to find a real tenant.

20 hours saved every week

Screening and scheduling now happen instantly without the back-and-forth.

Saves up to $2000 per month

Cuts out the need for manual work or hiring a full-time assistant.

Every step logged and traceable

You get full visibility into what was said, when, and by whom.

Works quietly in the background

Set it up once and it runs every day without anyone needing to press a button.

What We Actually Tell the AI

This is the exact prompt we send to GPT-4o. It takes the raw form inputs and turns them into clear, natural messages your team would be comfortable sending.

Voice assistant leasing AI prompt template with role instruction, procedural prompt, few-shot prompting, tool invocation prompt, parameter mapping, and fixed output prompt for rental information gathering.
Voice Assistant Leasing Prompt

Role Instructioning → Sets the assistant’s identity as a helpful voice assistant that gathers leasing information from prospective renters.

Procedural Prompt → Instructs the assistant to begin the interaction with a specific consent-gathering statement.

Few-shot Prompting → Lists a full sequence of follow-up questions to ask the caller, one at a time, confirming each answer before proceeding.

Tool Invocation Prompt → Directs the assistant to call the tool #n8n-sample after collecting all responses.

Parameter Mapping → Maps each caller response to specific fields required by the tool, like name, unit preference, budget, etc.

Fixed Output Prompt → Specifies a fixed closing statement the assistant must say after submitting the data.

Email inquiry extraction AI prompt template showing role instruction, instruction prompting, fallback handling, data injection, output formatting, and input referencing for real estate leads.
Email Inquiry Extraction Prompt

Role Instructioning → Sets the assistant’s identity as a real estate assistant.

Instruction Prompting → Directs the assistant to extract specific details from the email content.

Fallback Handling → Instructs the assistant to return "N/A" for any missing information.

Data Injection → Includes system-provided values such as ID, name, email, and raw text from dynamic input variables.

Output Formatting → Defines a specific format and field structure the assistant must follow in the output.

Input Referencing → Provides the source email text using the dynamic variable {{ $json.snippet }}.

Lead qualification AI prompt template with role instruction, instruction prompting, zero-shot prompting, input referencing, and strict output formatting for real estate inquiries.
Lead Qualification Prompt

Role Instructioning → Sets the assistant’s identity as a real estate assistant.

Instruction Prompting → Directs the assistant to analyze the applicant's inquiry using structured data from a referenced file.

Zero-shot Prompting → Asks the assistant to evaluate and decide whether the applicant is Qualified or Not Qualified without examples.

Input Referencing → Provides the inquiry text, lead ID, name, and email via dynamic input fields.

Output Formatting → Requires the assistant to return a response using a strict format that includes qualification status, a short reason, and the input metadata (ID, name, email).

Cost Comparison with AI Agents

Here’s a quick overview to help assess monthly costs and workload volume for ongoing operations.
vs
AI Agent for Lease Screening
Ranges from $80 to $180 per month, covering OpenAI usage, automation tools, and calendar sync.
Can automatically qualify and respond to 200 to 500+ inquiries per month across multiple channels.
Manual Real Estate Assistant
Ranges from $700 to $3,000 per month, including assistant salary and scheduling overhead.
Typically limited to handling 40 to 150 inquiries per month, depending on working hours.
We automate, you accelerate

We'll handle the tech so you don't have to.

You don’t need to set up or learn how automation works.
Our AI agents are built to run fully hands-off, like a clone that handles the repetitive tasks for you.

Need something custom? We’ll handle it all including:

What is prompt writing and optimization?

It is the process of crafting and refining instructions for AI so it understands the task, delivers accurate results, and formats the output exactly how you need it.
What we do exactly?
Understand your context and use case
Help optimize and rewrite your prompts
Test and refine outputs until it’s working perfectly

What is automation flow design and testing?

This is where we map out how your AI agent behaves: when it runs, what it checks, how it reacts, and what to do if something fails. We don’t just build it. We test it end to end.
What we do exactly?
Design the full logic and decision tree
Add fallback steps for edge cases
Run multiple rounds of testing before launch

What are tool integrations?

We connect your AI agent to the tools you already use. Email, spreadsheets, CRMs, databases, APIs, and more. Everything stays in sync without you needing to copy and paste a thing.
What we do exactly?
Identify which tools your agent needs to talk to
Set up reliable two-way connections
Ensure smooth data flow across systems

What is delivery setup?

Delivery setup means we make sure your AI’s output gets exactly where you need it. Whether that's your inbox, a Google Sheet, your Slack channel, or a CRM.
What we do exactly?
Configure where and how outputs get delivered
Format results so they’re ready to use
Schedule timing or triggers for delivery

What is ongoing maintenance and updates?

AI agents aren't set and forget. We handle updates to prompts, workflows, and integrations so your system keeps working as your needs change.
What we do exactly?
Monitor performance and catch issues early
Update logic, prompts, or tools as needed
Keep everything running behind the scenes

Let us handle it for you.

Just send us an email and tell us the task that is wasting your time and we’ll design the agent and run it in the background.

Or, enter your email and we'll send you how to get started.

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Frequently asked questions

We’ve covered the usual questions. Got a unique one? Send us an email

Do I need to know how to code?

Not really. If you’ve built a Zap or filled out a spreadsheet, you’re halfway there. And if you want someone to walk you through it, we’re here.

Can it handle voice calls?

Yep. The voice agent (Vapi) listens, transcribes, and feeds everything to GPT. It even asks for consent before the first question.

Is this legal in Canada?

Yes. The system handles consent automatically and stores only what’s needed, securely. It was built with PIPEDA baked in.

Built to be Cloned

You can take this setup, add your own property listings, and have a working AI leasing assistant live in less than a day. Whether you're handling apartments, condos, or single family homes, it fits cleanly into your current flow.

If you’re tired of chasing voicemails, sorting through emails, or guessing which leads are worth your time, this handles it for you from end to end.

The setup is done. Just copy it, tweak a few inputs, and you’re live.

Need help getting it live? Just ask. Fill the form or Send us an email

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{ "automation_name": "AI Agent for Leasing Inquiry Screening", "type": "AI-Powered Lead Qualification and Intake Workflow", "tech_stack": ["n8n", "OpenAI GPT-4", "Gmail", "Google Sheets", "Google Forms", "Zapier"], "data_sources": ["Rental inquiry forms", "Email inquiries", "Lead contact data"], "output_format": ["Qualified lead entries", "Google Sheets log", "Email replies"], "prompt_style": "Criteria-matching prompt with auto-reply generation and structured lead tagging", "use_cases": [ "Automatically screen rental or leasing inquiries", "Match leads against qualification criteria (budget, pets, credit, move-in date)", "Log qualified leads into a structured format", "Send automatic follow-ups or rejections based on fit" ], "deployment": "Self-hosted in n8n using form triggers, OpenAI screening logic, and Google Sheets for lead management", "tags": ["real estate automation", "leasing workflow", "AI agent", "lead screening", "GPT-4", "n8n", "tenant qualification", "property management"] }