Measuring ROI on AI in property management

Once you have adopted an AI tool, here is how to measure if it is actually working.

Operational metrics

• Average maintenance request resolution time (most direct)
• Number of touches per maintenance request (voice + SMS + email + portal events)
• Owner approval response time for above-threshold approvals
• Closeout proof capture rate (what % of jobs have proper documentation)
• After-hours touches per property manager per week (does AI reduce 9 PM phone calls?)

Financial metrics

• Property-manager hours per week spent on maintenance coordination (calculate against loaded labor cost)
• Vendor cost per job (does AI sourcing produce better pricing?)
• Customer (property manager) churn rate (does owner satisfaction lift retention?)

Satisfaction metrics

• Tenant satisfaction or NPS (most valuable but slowest to move)
• Owner satisfaction or NPS (faster to move than tenant)
• Vendor satisfaction (under-valued; vendor friction is real churn risk for PMs)

A simple ROI framework

We are not going to hand you a savings number, because we do not have customers yet and any figure we invented would be exactly the kind of claim Section 3 tells you to reject. Here is the arithmetic instead — run it with your numbers.

Step 1 — your real loaded hourly cost. Nationally, property, real-estate and community-association managers earn a mean of $83,710/year.¹ That is roughly $40/hour base. Add payroll tax, benefits and overhead — typically 1.25×–1.4× — and a realistic loaded cost lands near $50–56/hour.

Be suspicious of anyone quoting $100+/hour for this. That is a billing rate, not a labor cost, and using it inflates every savings estimate built on top of it by roughly double.

Step 2 — your baseline. For one week, count: hours spent on coordination (not repairs — coordination), touches per work order, and after-hours interruptions. You cannot evaluate any AI tool without this, and almost nobody does it.

Step 3 — the honest math.

hours saved / week  ×  52  ×  loaded hourly cost  =  annual value

At a genuinely useful 8 hours a week saved and $53/hour loaded, that is about $22,000/year per coordinator. If a vendor’s pitch implies triple that, ask which of the three inputs they inflated.

Step 4 — compare against real market pricing. Per-door AI maintenance tools currently run roughly $1.60–$6.00 per unit per month with minimums from $160 to $400;² platform vendors bundle AI without per-door pricing and some carry unit minimums.³ For 200 doors that is broadly $320–$1,200/month. Set your savings estimate against that range, not against a vendor’s ROI calculator.

The point of this section is not the number. It is that you should be able to compute it yourself — and that a vendor unwilling to show you their inputs is telling you something.

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