AI Real Estate Underwriting

It is the use of software and AI agents to move acquisition work across underwriting, offer generation, sending, response monitoring, and surfaced opportunities instead of making a team do each step manually for every property. In practice, that means property intake goes into a queue, thresholds are checked, offers are drafted and sent, and replies are routed back for review when they need judgment.

Dottid AI can automate the standard acquisition path: underwriting, ARV, rehab, and MAO estimation, offer generation, offer delivery, reply monitoring, and response processing. Unusual terms, threshold misses, and non-standard counteroffers still route to human review so the team can decide what to do with the file.

It removes the manual steps that usually sit between a property passing underwriting and an offer getting out the door. Instead of having the same team member rewrite terms, send the offer, watch for replies, and chase follow-up across dozens of properties, Dottid AI handles the repeat path and only escalates the exceptions. That gives you more offer volume without making every additional property a new person’s job.

Any deal that misses your thresholds, comes back with a counteroffer, or includes unusual terms should stay in the review queue. The system can surface the deal and process the response, but your team should still approve price moves, term changes, and any exception to the buy box before it advances.

Choose AI agents when you want packaged execution now. Choose API infrastructure when you need the underwriting and offer logic embedded in your own acquisition stack. The difference matters operationally: agents give your team a working workflow out of the box, while API infrastructure lets your product or internal system control intake, rules, and review routing.