AMPD turns the data buried in your PMS into a daily, decision-ready view of every property — so your team spends Monday morning fixing problems, not building decks about them.
The Problem
Your PMS already produces more reports than anyone could read in a week. The trouble isn't getting the numbers — it's figuring out which numbers actually matter, and what to do about them.
Hundreds of reports, no single source of truth
Occupancy in one tab. Delinquency in another. T-12 in a third. Every report measures something real, but stacked together they don't add up to a story — let alone a decision.
A number with no context is just a number
Is 91% occupancy good? Depends on the budget, the season, the comp set, and the trend. Without that frame, every metric is a coin flip — and the team ends up arguing instead of operating.
By the time you spot it, the month is gone
The retention dip started in February. You found it in May, after the variance hit the Excel summary. AMPD surfaces the drift the day it starts — so you can act on a problem, not document one.
More data was never the answer. A clear, daily read on the metrics that drive NOI is.
The Platform
Here's a real Monday morning at AMPD. Four screens, one question — is this NOI number actually good news? — answered in under a minute.
Income Statement
NOI just jumped — but is it real?
May's NOI is well above the trailing average. Good news on its face, but a single spike like that means one of two things: a real operational win, or a one-time anomaly hiding inside the GL. Time to look under the hood.
Net Operating Income — T6
$425K
▲ 39% vs. avg
Expense Components
Expenses tell the story.
Open the expense view and the cause is obvious: total operating expense dropped sharply in May while every other category held steady. That's not a real efficiency win — that's a timing issue, a reversal, or a missing invoice. Worth a closer look.
Operating Expense Components
Anomaly Detection
AMPD already flagged it.
You didn't need to go looking. AMPD continuously monitors every GL line against its own history and surfaces what's out of pattern. Three line items came in well above their average this period — exactly the kind of detail that hides inside a healthy-looking bottom line.
Detected Anomalies
Make Ready
Nov 2025
$18,255
241% above average
Marketing
Nov 2025
$19,682
195% above average
Utilities
Dec 2025
$33,065
141% above average
AP Aging
And the cash side confirms it.
$2,217 sitting in 90+ days. A handful of vendors waiting on payment that should have cleared. The NOI spike isn't strength — it's invoices that didn't get booked. Same insight, two sources, one decision: get the AP cleaned up and re-forecast the month.
AP Aging — Outstanding
$11,700
Total AP
CURRENT
$690
1–30
$8,758
31–60
$36
61–90
$0
91+
$2,217
Vendors 90+ Days
| Texscape Services | $1,713 |
| Terminix Intl. | $276 |
| Checkpoint ID | $227 |
Four views. One picture.
The kind of pattern recognition that used to take an analyst two days — surfaced before the morning meeting.
Built for the Work
Portfolio at a glance
Every property, every key metric, every variance — surfaced automatically with the context you need to know if it's actually a problem.
Click into anything
Portfolio → property → building → unit → lease → GL line. The whole stack is one click away, and the math always reconciles.
| Unit | Type | Prior | New | Δ |
|---|---|---|---|---|
| 204 | New | $1,450 | $1,525 | +5.2% |
| 118 | Rnwl | $1,380 | $1,350 | −2.2% |
| 312 | New | $1,620 | $1,695 | +4.6% |
| 217 | New | $1,340 | $1,410 | +5.2% |
Work orders, without the spreadsheet
Total, completed, open, and average days-open — across every property — refreshed nightly. Spot a backlog before it becomes a problem.
Total
48
Done
41
Open
3
Avg Days
2.5
Turn insights into action items
When the data flags something, create a task on the spot, loop in the right person, and watch it through to resolution — without bouncing to email.
Revisit renewal pricing — Birchwood
Anna K.2h ago
7 move-outs all cited rent. Can we revise by Thursday?
Jordan R.1h ago
On it. Reviewing comps now, will propose by EOD.
Built on top of Entrata. Live data, every morning.
Entrata
We handle the pipes, the cleansing, and the reconciliation. You get a dataset that's ready to act on the moment you log in. More PMS integrations are on the roadmap.
FAQ
A 30-minute working session with your real data. You'll leave with at least one insight worth the call.
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