What AI can prepare for this workflow
The scope is extracting fields from checked documents and assembling a property introduction or proposal draft. Keep the source for each field and record missing information as a question.
Separate numeric extraction from customer-facing wording. Keep areas and fees aligned with the originals, and use checked sources for location descriptions. Publication and final contract documents remain part of the responsible person's review process.
Information to prepare
Group the records for one property and identify the current versions.
| Input | Information used | Check |
|---|---|---|
| Property record | ID, address, area, fees | Units, date, and effective period |
| Listing sheet | Amenities, layout, images, conditions | Text extraction and version |
| Agent notes | Confirmed additions and customer needs | Facts versus interpretation |
| Document template | Required fields, order, wording rules | How blanks and pending items appear |
How AI and the responsible person work together
Keep extraction, comparison, writing, and review distinct so corrections can be traced.
| Stage | What AI prepares | Human action |
|---|---|---|
| 1. Extract | Fields with source locations | Check OCR and units |
| 2. Compare | Differences between record and sheet | Confirm the valid conditions |
| 3. Draft | Place approved fields in the document structure | Choose information for the reader |
| 4. Finish | Retain pending questions and references | Review content and layout before sharing |
Example: A property note with conflicting source values
This fictional property B example leaves conflicting measurements unresolved until reviewed.
| Field | Draft | Source or check |
|---|---|---|
| Floor area | Pending: record 40.00 m²; listing sheet 38.50 m² | Check the definition and valid source |
| Monthly fees | Rent JPY90,000 plus service charge JPY5,000 totals JPY95,000 | Record v3; other fees require confirmation |
| Amenity | Parcel locker available | Amenities on listing sheet v2 |
| Description | Draft from published facts; journey time remains unconfirmed | Do not add a journey time absent from the sources |
Adapt the worksheet to your workflow
Download the text file with the sample and blank fields, then copy and adapt it.
What the responsible person checks
Compare area, floors, dates, and fees with the originals. Successful text extraction still requires checking whether the extracted values are correct.
Use verified conditions in the description. Check image permissions and dates, then follow the internal approval process for the intended publication.
Pilot the workflow and include review and correction time
Compare with documents already completed and checked by the team.
| Measure | Record |
|---|---|
| Transcription accuracy | Field-level comparison with originals |
| Conflict detection | Missed differences between sources |
| Completion time | Extraction, checking, correction, and formatting |
| Later revisions | Outdated conditions or unsupported descriptions |
Can the workflow use scanned listing sheets?
Text recognition can be included. Test actual scans, including small text and tilted images, to assess extraction quality and review effort.
Can the output be PDF or PowerPoint?
Define the output format around your existing template. Keep text and tables editable during review and check the final exported layout.
Public sources informing the design
JLL Japan's August 2025 article describes preparing document drafts from emails and records and retaining expert review. This workflow adapts that principle to property introductions. Source checked October 12, 2026.
Discuss property-document preparation and comparison
Share the document types, original formats, and current templates. We can examine extraction, comparison, drafts, editing, and review.
Discuss property-document preparation and comparison
Tell us which preparation step takes time and which output format you need.
AI for Property Documents