A rent roll where problems show up on Monday, not at month end
One weekly view of arrears, vacancies and days to lease, so the principal and property managers can see where rent is at risk and act on it in the Monday meeting.
The problem
A property management team was working from the trust accounting system, a leasing spreadsheet and email. Arrears were noticed late, and nobody could say which property types were sitting empty longest.
Key numbers on the dashboard
- Managed properties412Across 3 offices
- Vacancy rate3.4%14 properties vacant
- Tenancies in arrears3.1%13 tenancies, over 2% threshold
- Average days to lease222 property types over 21 days
What the numbers say
2 of 6 property types are leasing slower than target. Arrears cover 13 tenancies, up from 7 three months ago.
How FDX uses it
- 01Connect the data
We connect the trust accounting and leasing data into one model, refreshed daily.
- 02Draft, then approve
AI drafts arrears reminders, owner updates and listing copy from that data. A property manager reviews and approves every message before it goes out.
- 03Keep it private
Tenant names and contact details are masked before any AI model sees them, and the data is not used for training.
Next steps it points to
- ArrearsSend the 13 tenants a reminder this week. AI drafts each message from the ledger and the property manager approves it.
- Two bed unitsReview asking rents against recent comparable leases before the next listing round.
- OwnersFlag the 5 owners with vacant two bed units and agree a leasing plan.
ExampleExample case study with illustrative sample data. Not a real client or real results.
Next exampleConstructionSeeing margin fade while there is still time to recover it
The dashboard is one part of the work.
It gives the team one trusted view of the numbers. The bigger gain is AI working from that same data to draft the follow ups, with a person approving every step.
When AI drafts from your data, personal details are masked before the model sees them. Onshore hosting is available, and your data is not used for training.