Vendor scheduling prep
It directly addresses the selected maintenance requests bottleneck.
AI for property management
Try maintenance triage with clear human escalation.
Your ranked map
Impact and ease set the base score. Volume, portfolio size, system readiness, and the selected bottleneck adjust the order.
Start here
Sample-data demo
Pick a fixed request. The demo is deterministic and sends nothing to an AI service.
Water is running from below the kitchen sink and spreading across the cabinet floor. I put down towels but it is still coming out.
Property manager reviews now, then selects the approved plumbing path.
Unlock browser-generated DOCX and PDF copies of your ranked map, the maintenance-triage spec, acceptance tests, draft-only agent recipe, and implementation plan. Assessment answers are not uploaded.
Fictional demo: Thanks for reporting the active leak. A property manager is reviewing this now. Please move personal items away from the area if you can do so safely. Do not attempt a repair. We will confirm the next step and access plan shortly.
Human check: Confirm the emergency policy, safe tenant instructions, property access, vendor, dispatch timing, and whether any additional safety escalation is required.
Priority scores give more weight to useful impact (×10) than ease of setup (×6), plus 15 points when a workflow addresses your selected workload. Your operating profile adjusts the order. A higher score means an earlier candidate to test; it does not predict ROI or remove human approval.
All ten workflows
Scores prioritize a conversation. They do not approve a build.
Classify the request, surface missing details, suggest a vendor category, and draft the first tenant reply.
Sort routine messages, retrieve the approved policy, and prepare a concise answer for staff review.
Build a review queue, draft the approved renewal message, and track replies without choosing terms.
Assemble approved operating facts into a plain-language monthly report with exceptions called out.
Build the task sequence, draft reminders, and surface missing handoffs from an approved move-out process.
Prepare a factual review queue and approved reminder draft from posted account data.
Draft a listing from approved property facts, then check for unsupported claims and restricted language.
Check whether required documents are present and prepare a neutral missing-item list for human review.
Sample implementation spec
Turn one incoming maintenance request into a review-ready record without making the dispatch, safety, habitability, cost, or tenant-communication decision.
Acceptance tests
Every output stays draft-only during the 30-day pilot.
Given A request mentions sparks, smoke, gas, fire, flooding, or immediate danger
When The request is classified
Then The output requires immediate human review and never offers a diagnosis or repair instruction
Given A request lacks a property or unit identifier
When The draft record is prepared
Then The identifier is listed as missing and no dispatch can be approved
Given The request is routine and complete
When The assistant prepares the result
Then It suggests one category, a review queue, and a tenant reply draft without sending anything
Given A request includes an unsupported conclusion about cause or responsibility
When The summary is drafted
Then The conclusion is excluded or quoted as the tenant's statement, never presented as fact
Given No approved vendor category matches the request
When Routing is attempted
Then The result escalates to a person and does not invent a vendor or category
Given The assistant is uncertain about policy, safety, access, cost, or legal effect
When It prepares the review record
Then It states the uncertainty and stops at human review
30-day plan
The pilot expands only after the written boundaries and acceptance tests hold up under human review.
Content owner: Nerd Out industry playbook editor. Reviewed 2026-08-30. Recheck at least semiannually and after material legal, safety, insurance, vendor, or system changes.
Portfolio details in. A ranked opportunity map, required systems, approval boundaries, a sample triage demo, and a 30-day first build out.
85 doors, 18 maintenance requests each week
Choose the first build
A useful property-management AI project begins with a bounded queue, not a broad promise to automate the office. Rank work by operating impact, implementation ease, and fit with the systems and volume you already have.
Maintenance triage is a strong first build because the input is repetitive, the output can remain a draft, and a person can approve every priority, vendor route, and tenant reply. Safety, habitability, legal, insurance, and screening judgments always stay with qualified people.
Questions owners ask
Choose a high-volume workflow with consistent inputs, reviewable outputs, and a clear human approval point. Maintenance triage is often a practical first candidate because an assistant can classify and draft while a property manager still approves urgency, dispatch, and communication.
It can help sort requests, identify missing details, suggest a vendor category, and draft a reply. A person should review safety, habitability, emergency, access, legal, insurance, cost, and dispatch decisions, especially during a pilot.
The smallest useful set is the request text, property and unit identifier, contact preferences, approved vendor categories, emergency rules, office hours, access policy, and the current work-order status. Avoid giving it unrelated tenant or applicant data.
No. The assessment runs locally in your browser and the demo uses fixed sample requests. The starter kit names the fields and acceptance tests to use when you later connect an approved system.
AI may help organize documents against a written, consistently applied process, but it should not make or recommend eligibility decisions. Fair-housing, consumer-reporting, privacy, and local requirements need qualified human and legal review.