Here's how you can automate rental application screening and save your team hours of manual work.

When someone submits a rental application, you can send their information through an automation workflow that checks it against your screening criteria and puts together a report for your leasing team.

One way to figure out your screening criteria is to look at past applications from tenants you've approved.

You can use AI to analyze anonymized information from those applications and look for patterns in things like income, employment, and rental history.

Then, you can use those findings to help build your screening criteria and give them to an AI agent so it knows what to look for in new applications.

But there's another problem.

Just because an application looks good on paper doesn't mean all the information is legit.

You also need to check whether the applicant's identity is real, their documents are genuine, and their income checks out.

There are tools that can help with that, and you can connect them to the same workflow.

So, here's what the whole process could look like:

Someone submits an application → AI reviews the information → Identity gets verified → Documents get checked → Income gets verified → Your team gets a report with all the results.

For example, the report could show which checks passed, which ones raised concerns, and what needs a closer look.

That way, your leasing team doesn't have to spend hours going through every detail manually. They get the information in one place and can focus on reviewing the results.

PS: One thing to keep in mind: rental screening and fair housing laws vary depending on where you operate. Don't let AI blindly approve or reject applicants. Use it to help review applications, flag potential issues, and give your team the information they need to make a decision.