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Property details come in through intake.
Dottid AI
AI Agents for Acquisition Teams
See how AI agents are helping aquisition teams automate underwriting, offer generation, outreach, and acquisition workflows at scale.
AI agents are execution software that does real work for you. For real estate acquisition teams this means AI Agents can handle roles like underwriteing properties, applying buy box rules, generating offers, sending them by text and email to listing agents, monitors replies, and pushes promising leads into a queue for human review.
Dottid AI is releasing an AI Agent to handle exactly those tasks like underwrite the deal, estimate ARV, rehab, and MAO, generate the offer, send it to the listing agent, watch the inbox, and process the response path. Now teams can focus on promising leads and closing more deals and let AI Agents handle the tedious repetitive tasks.
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Dottid AI underwrites the property and calculates ARV, rehab, and MAO.
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Your buy box rules and thresholds are applied.
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If the deal clears, Dottid AI generates the offer.
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The offer is sent to the listing agent.
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Inbound replies are monitored.
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Responses are processed, including counteroffers and exceptions.
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Deals that match your criteria are surfaced for review.
04 Operator Use Case
Real Investor Use Case
An acquisition team is screening 40 to 60 properties a week. Anything inside the buy box gets auto-underwritten, but only deals that clear the price ceiling, ARV margin, and rehab threshold move forward. Dottid AI drafts the offer, sends it, and keeps watching for the reply thread. If the listing agent comes back with a counteroffer inside the team’s range, it can route to the review queue. If terms are unusual or a threshold misses, the deal stays with a human before anything goes out. That keeps the team focused on decisions, not repetitive drafting and inbox checking.
Manual acquisition
Work stacks up after analysis.
Manual acquisition breaks when the same team has to underwrite every property, draft every offer, send every email, and then keep checking replies all day. One person can usually handle analysis for a while. The break happens when underwriting sits next to offer drafting, outbound sending, inbox handling, reply triage, and manual follow up on every live deal.
Dottid AI workflow
The standard path keeps moving.
That stack gets worse fast. A team can miss a counteroffer because they are still underwriting new leads. They can slow offer volume because drafting takes too long. They can lose time sorting inbox noise because responses are mixed with new opportunities. Faster analysis alone does not solve that. If the team still has to write, send, track, and triage each deal by hand, acquisition volume still runs into headcount.
Send more offers without turning underwriting into the bottleneck.
Handle more reply volume without letting responses sit in the inbox.
Review fewer dead ends and spend more time on deals that clear your thresholds.
Keep offer drafting and follow up from consuming the same people who should be underwriting new deals.
Add acquisition throughput without adding the same amount of manual headcount.
What is real estate acquisition automation?
It is the use of software to move acquisition work across underwriting, offer creation, sending, response monitoring, and review. In practice, that means a property gets checked against your buy box, the offer gets drafted from the underwriting output, and the reply path gets tracked instead of handled manually deal by deal.
What parts of the acquisition workflow can Dottid AI automate?
Dottid AI can automate the standard acquisition path: underwriting, ARV, rehab, and MAO calculation, offer generation, offer sending, response monitoring, and response processing. Anything outside your thresholds, unusual terms, or exceptions still routes to human review before the team commits to the next step.
How does Dottid AI help teams send more offers without adding headcount?
It removes the work that usually slows offer volume down. The team does not have to manually underwrite each property, rewrite each offer, and chase each reply in the inbox. That lets the same operators move more deals through underwriting and outbound sending while keeping a review gate on exceptions.
What still needs human review in an automated acquisition workflow?
Anything that misses thresholds, lands outside the buy box, or comes back with a counteroffer or unusual terms should stay in human review. Dottid AI can surface the deal and process the standard path, but the final call on exceptions belongs with the acquisition team.
What is the difference between AI agents and API infrastructure?
Choose agents when you want packaged execution now. Choose API infrastructure when you need the logic embedded in your own stack. Agents are the faster way to start running underwriting, offers, and response handling. API infrastructure fits teams that already have an internal workflow and want Dottid AI logic inside it.
Dottid AI
Try the AI underwriter
Run a property through Dottid AI and see how the underwriting engine handles ARV, rehab, MAO, and offer logic from a single address entry.
Built for
- Acquisition teams
- Real estate investors
- PropTech workflows