How can I automate the onboarding process for new commercial real estate clients?

When a new commercial tenant or investor reaches out, your team typically swaps dozens of emails just to collect the basics: property type, square footage, budget, location preferences, and the client’s timeline. A single slip or delayed reply can stall a deal. Manual intake also makes it impossible to spot trends - like which requests keep popping up - without digging through inboxes. Real estate onboarding automation solves this by making the first interaction consistent, instant, and data-rich, so every lead follows the same high-quality path.

Chatref lets you build an AI agent that handles the repetitive part of intake. The agent greets the client, asks the right questions from your own commercial property checklist, and captures answers inside the chat. Because the agent is trained on your own docs - leasing guides, property specs, CRM fields - it never guesses. It can also trigger custom actions to save those details directly into your systems, and tag each conversation by property type or urgency. The result: a real estate chatbot onboarding flow that works 24/7, removes data entry, and hands your team a fully prepped lead.

1. Upload your intake materials. In Chatref, add the documents your team uses during an initial call - property intake forms, qualification checklists, and common FAQs. The agent will use these to ground every response.
2. Create an agent and set its greeting. Give the bot a name and a short welcome message like, “Hi, I’ll help you find the right commercial space. To start, what type of property are you looking for - office, retail, industrial, or mixed-use?”
3. Design the data-collection flow with custom actions. In the agent’s settings, add a custom action that walk the client through a series of short questions: preferred square footage, budget range, move-in date, and location. Each answer is stored as a conversation field you can review later.
4. Activate conversation tags. Assign an automatic tag rule for the answer to “property type” so every chat is auto-tagged as office, retail, industrial, or mixed-use. Add a second rule for budget tier (e.g., budget-under-5mm, budget-5mm-20mm). Tags appear in the shared inbox, so your team can filter and prioritize.
5. Embed the widget and test. Drop the Chatref widget snippet onto your “Contact” or “New Client” page. Run through a test client yourself to confirm the flow captures exactly what your brokers need.

Tags turn the onboarding bot from a simple questionnaire into a triage tool. By automatically tagging every new chat with property type and budget, your leasing team can instantly see which conversations need a senior broker, which are ready for a site tour, and which only need a standard proposal. Over time, the tags help you spot patterns - like a sudden spike in requests for industrial space in a certain corridor - so you can adjust your marketing or inventory before the rest of the market catches on.

How to set up automated onboarding for new real estate clients?

Start by uploading your intake forms and qualifying checklists into a new Chatref agent. Configure a custom action that asks the client for property type, size, budget, and timeline. Set the greeting, link conversation tags to the key answers, and embed the widget on your website. The agent handles the rest - greeting, questioning, capturing data, and tagging every chat before a human ever sees it.

What information should I provide during the onboarding process?

At minimum, collect what your brokers need to qualify a lead: desired property type (office, retail, industrial, etc.), square footage, budget range, preferred locations, and expected move-in date. You can also ask for company name, contact details, and any special requirements like loading docks or ceiling height. The exact fields are defined by the custom action you build inside Chatref.

How can I reduce manual work in client onboarding for commercial properties?

Replace back-and-forth emails with a Chatref bot that asks qualifying questions directly on your site. Use custom actions to save the answers as structured data, and conversation tags to automatically sort leads by property type and urgency. When a new client reaches out at 10 PM, the bot handles the entire intake, and your team logs in the next morning to pre-sorted, ready-to-act-on leads. No copy-paste, no missed details.