Give your team clearer AI rules before mistakes become habits.

Property management teams can use AI for drafts, summaries, checklists, and training. But without data rules, source-of-record discipline, and review standards, AI creates operational risk.

Download the AI Policy Starter Kit Take the AI Readiness Scorecard

What the kit includes

Starter policy language, approved use cases, data handling guidance, caution-zone checklist, review-before-sending checklist, and a 30-day rollout sequence.

Approved starting use cases

Drafting support

Work-order scopes, owner updates, resident messages, vendor questions, and meeting follow-up.

Training support

Anonymized scenarios, checklist drafts, SOP gap summaries, and coaching examples.

Planning support

AI use-case mapping, pilot selection, review-owner mapping, and implementation risk notes.

Caution zones

AI outputs need stronger human review when the topic involves agreements, money, notices, protected-class concerns, active disputes, property damage, safety, accounting, HR, legal, Fair Housing, or professional review.

What AI should not do

AI should not make final decisions, replace AppFolio or source systems, approve spend, send notices, make legal/accounting conclusions, or bypass human accountability.

How to roll it out

Start with three approved use cases, define safe inputs, train with examples, review outputs, and improve prompts only after the team proves discipline.

Download the starter kit

Use this kit as a starting resource. It is not legal advice, accounting advice, or a final compliance policy.