AI-Powered Conveyancing Data Management

Based on your description, here is a brief draft of how I envision the architecture and workflow for Phase 1 of this project.

Project Overview
The goal is to build an automated pipeline that extracts data from conveyancing forms, validates the completeness of those forms using AI, auto-fills the respective fields in Zoho CRM, and seamlessly hands off the data to your workflow rules.

How It Will Work (The Workflow)

The Trigger: A realtor uploads a conveyancing form (PDF/Image) into the file field of a deal in your Zoho CRM Conveyancing Transaction module.

Extraction (OCR): The file is securely sent to a top-tier OCR engine (like Google Document AI, which is specifically optimized for forms). It will extract names, addresses, dates, and financial figures.

AI Validation (The "Hard Part"): The extracted data is passed through an AI logic layer. This layer will cross-reference the extracted text against a predefined checklist to flag if anything is missing (e.g., missing signatures, incomplete schedules, or missing buyer/seller details).

Auto-Fill & Review Status: The system uses the Zoho API to populate the deal fields. Recommendation for V1: We implement a "Needs Review" status. This ensures a human can quickly glance at the auto-filled data before any automated emails are sent to lawyers or other brokerages.

Execution: Once the data is verified, your Zoho workflow rules take over to trigger the automated emails.

Phase 1 Deliverables:

Setup of the webhook/trigger in Zoho CRM.

Integration with the OCR engine for data extraction.

Development of the AI validation script to check for missing information.

Scripting the API connection to auto-fill Zoho fields and update the deal status.