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By NextAutomation · Updated

System study / a Florida industrial value-add investment firm

AI Deal Screening for Commercial Real Estate

An industrial investment team connects document extraction, mandate checks and memo drafting in one screening process.

Book a tailored demoSee what changed
AI-generated illustration of a functional industrial warehouse
The connected workflowThe facts, the fit and the open questions.
Deal snapshotScreening recordInvestment memo
AI-generated property illustration. Not a client asset.
01

Before / after

Less assembly. More connected work.

BeforeSeparate pieces

AfterShared context

Illustration of separate source sheets becoming one organised file
  1. Re-keyed offering memorandaA structured deal snapshot
  2. Manual mandate checksScored fit with visible exceptions
  3. Memos assembled slide by slideBranded memo and editable deck
02

Built around the work

The facts, the fit and the open questions.

  1. 01

    Capture

    Broker email and documents

  2. AI-generated illustration of a functional industrial warehouse
    02

    Extract

    26-point completeness check

  3. 03

    Screen

    Criteria and disqualifiers

  4. 04

    Prepare

    Memo for analyst review

Analysts review scores and memos before committee.
03

What the team receives

Outputs the team can work with.

Deal snapshotEXAMPLE
AI-generated illustration of a functional industrial warehouse
PropertyDocument source
FinancialsExtracted inputs
ExceptionsAnalyst review
Connected source recordsFor team review
01

Deal snapshot

Property facts, with missing fields made visible.

Screening recordEXAMPLE
Three illustrative property research records with green, sage and neutral index tabs
  1. 01PriorityResearch first
  2. 02WatchMonitor signals
  3. 03BackgroundKeep on record
Connected source recordsFor team review
02

Screening record

Mandate fit with an explanation.

Investment memoEXAMPLE
Illustrative open report with a property plan and review notes
Prepared from shared source records
01Deal summarySnapshot
02FinancialsUnderwriting
03RisksOpen diligence
Connected source recordsFor team review
03

Investment memo

A reviewed deal, in the team’s own format.

Illustrative output designs. Generated imagery, not actual client records or assets.

04

The record behind the story

What supports the story.

26

point completeness checklist

What this means

Documented system mechanics and original deployment scope. These are capability measures, not conversion or investment returns.

5 + 3

weighted criteria plus automatic disqualifiers

What this means

Documented system mechanics and original deployment scope. These are capability measures, not conversion or investment returns.

05

For your team

A similar system, built around you.

Best suited to

Investment teams with recurring inbound deal flow

Your starting materials

  • 01Broker emails
  • 02Offering memoranda
  • 03Mandate rules
  • 04Own model
Connected around your process
The human decision

Your team stays in control.

Analysts review scores and memos before committee.

Ownership & implementation

Screening follows the investment team’s criteria.

The checklist, weights and disqualifiers are configured per mandate.

Related client build: Gallo Capital’s connected acquisition workflowBest AI tools for CRE underwritingShould you build your own AI underwriting?Case study: investment committee memo automationAI Underwriting Copilot
Practical questions

Before you build.

What does AI deal screening actually check?

In this system, every inbound deal is checked against a 26-point completeness checklist, then run through three automatic disqualifiers and five weighted scoring criteria covering tenancy, rent upside, location, building size, and financial returns. Deals that fail a disqualifier are closed with a reason; deals that score well are flagged for same-day attention.

Does the AI make the investment decision?

No. The system screens, scores, and drafts. A human analyst reviews every score and every memo before anything reaches the investment committee. The value is that the analyst starts from a structured, scored deal record instead of a raw PDF.

How does a deal get into the system?

Brokers forward the offering memo, flyer, or email thread to a dedicated capture address. The AI extracts the property, tenancy, and financial fields into a deal record and flags anything missing. Deals can also be entered manually through a form with a live score preview.

Can a system like this work for asset classes other than industrial?

Yes. The screening criteria and disqualifiers are configured per mandate. The same architecture applies to multifamily, retail, or office: the checklist, weights, and disqualifiers change, the pipeline does not.

Try the checks behind the screening handoff

Use the lease audit practice packet to test whether a workflow preserves missing documents and conflicting terms.

The model-builder resource pack gives the analyst a structure for approved figures and open assumptions.

See it on your workflow

What would this look like for your firm?

Book a tailored demo. We’ll walk through your process, the information you work with, and the outputs your team needs.

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