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How to Automate Real Estate Workflows in Lofty with Make.com
Learn how a Make.com consultant automates Lofty real estate workflows: deal folders, document intake, and AI-assisted contract review using Make and Drive.
TABLE OF CONTENTS
If you want to automate Lofty without breaking your process, start with one reliable trigger (an appointment or deal stage change), then use Make.com to create the Google Drive folder structure, request and file documents, and route contracts through an AI-assisted review step. This approach is especially effective for real estate automation teams that need consistent deal ops.
What this guide covers
- A practical architecture for Lofty → Make → Google Workspace automations
- Three proven “transaction coordinator” workflows you can implement first
- When to use Lofty’s API versus email parsing, and how to keep data clean
The real-world problem: real estate ops break when the coordinator is out
Many real estate teams do not notice how much work is being done manually until a key person is unavailable.
Common pain points include:
- Folder setup is inconsistent across deals
- Document requests get sent late, or not at all
- PDFs land in inboxes and never make it to the right place
- Contract details are retyped into spreadsheets and emails
This is exactly the kind of workload that automation can standardize.
The recommended Lofty + Make.com automation stack
- Lofty CRM as the source of truth for appointments, contacts, and transactions
- Make as the automation layer
- Google Drive + Gmail + Google Sheets for document storage, communication, and tracking
- Claude (or another LLM) for classification and extraction, paired with human review
If you already have Make and an AI API set up, you can start with workflow 1 in under an hour.
Workflow 1: Create a standardized Google Drive folder structure when a deal starts
Trigger options
Pick one primary trigger and stick to it:
- Appointment created in Lofty
- Transaction created
- Deal stage moved to a specific stage (for example, “Under Contract”)
Actions (Make.com)
- Create a parent folder named by property address
- Create subfolders from a template (for example: Contracts, Disclosures, Title, Inspections)
- Apply an ownership rule (separate “Brandon vs Patrick” folder trees, if needed)
- Store the folder ID back in your system of record (Lofty custom field, or a simple tracking table)
Guardrails
- Create an idempotency key so you do not create duplicate folders
- Log the created folder ID and the source record ID
Workflow 2: Automatically request, receive, and file the “trio” document set
Trigger
- Same trigger as Workflow 1, or when a deal hits “Under Contract”
Actions
- Send an email to the title company with a standard subject line and request list
- Watch the inbox for replies that match:
- Sender
- Subject pattern
- Attachment present
- Save attachments to the correct Drive folder
- Rename PDFs using a consistent naming convention
Guardrails
- Never file documents into the CRM automatically if the naming or document type is uncertain
- Put questionable files into a “Needs Review” folder and notify the team
Workflow 3: AI-assisted contract classification + data extraction with human approval
This is where AI helps, but should not be “fully automatic.”
Trigger
- New labeled email
- New PDF in a deal folder
Actions
- Identify document type (offer, counter, inspection addendum, etc.)
- Extract key fields into a Google Sheet (closing date, purchase price, contingencies)
- Route extracted data to a human review step
- If approved, draft an email update for the client (ready-to-send)
Guardrails
- Keep AI output as a draft until a person confirms
- Save the “source PDF + extracted fields” together for auditability
API vs email parsing: how to decide
Email parsing can work, especially when the CRM does not expose the events you need.
But the more you can use Lofty’s API, the cleaner and more reliable your automations will be.
A practical rule:
- Use API for core record data (contact, appointment, transaction fields)
- Use email parsing for “human” communications that do not exist as structured fields
How long does this take?
A typical starting scope for these three workflows is:
- 1 to 2 hours: folder creation + basic template
- 2 to 4 hours: document request + filing rules
- 2 to 4 hours: AI extraction + review loop
Complexity comes from edge cases, not from the basic build.
FAQ
Do I need to switch CRMs?
No. The goal is to automate around the systems you already use.
Will AI make mistakes?
Yes. That is why Workflow 3 must include a human approval step.
Can this be done without coding?
Often yes. Make covers most use cases with modules, webhooks, and HTTP calls.
Next step: get a working version in one session
If you want to stop DIY troubleshooting and get a reliable first version built, book a call and we can map the first workflow and implement it live.
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