🚨 Underwriting Red Flags: What Korra’s AI Looks for Before You Make an Offer

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How Korra surfaces risk signals across income, expenses, and comps — in seconds, not spreadsheets.


Before you get dazzled by that 8-cap broker whisper or “value-add” opportunity, slow down.
Because behind every too-good-to-be-true deal is often a spreadsheet that lies by omission.

At Korra, we’ve trained our AI to catch the red flags most investors miss — especially when speed matters.
In this post, we’ll walk you through the exact warning signs Korra surfaces during underwriting so you can make smarter offers with less risk.


📉 1. Income Flags: Don’t Trust Gross Potential Rent

Brokers love to market “pro forma” rent rolls — but pro forma is not profit.

Korra flags deals where:

  • Scheduled rent > 15% above market comps
  • Vacancy is missing or artificially low
  • “Loss to lease” is ignored on in-place income
  • Laundry, storage, parking are inflated or counted twice

🧠 AI Insight: Korra auto-compares in-place rents to actual signed leases from nearby buildings — not just average zip code rents.


đź’¸ 2. Expense Flags: T12 Gotchas That Kill Returns

Expenses are where bad underwriting goes to hide.

Korra automatically detects:

  • Missing property taxes or unrealistically low assumptions (post-sale reassessment risk)
  • CapEx disguised as OpEx (e.g. full roof replacement labeled as “repairs”)
  • Payroll mismatches: 50+ units with zero on-site staff? Red flag.
  • Insurance underbudgeted: We benchmark your premiums vs. market-rate quotes

🔥 Bonus: Korra highlights unstable line items with major year-over-year variance — often a sign of hidden distress.


🧮 3. Comp Flags: Don’t Anchor on the Wrong Deals

Brokers cherry-pick comps. Korra doesn’t.

When analyzing a building, we automatically flag:

  • Outlier sales comps with very different unit mixes or asset classes
  • Rent comps with different amenities (e.g. new construction vs. 1960s garden walk-ups)
  • Properties with known rent control or use restrictions that skew price per unit

📍Korra uses hyperlocal filtering — down to census block and school zone — to deliver apples-to-apples comparisons.


🔄 4. Recurring Operational Flags

Some red flags are subtle, but deadly over time.

Korra’s AI detects:

  • Under-market utilities pass-through: Are you eating what tenants should pay?
  • Occupancy volatility: Spikes or dips in monthlies suggest instability
  • Non-professional management: No line item or mismatched payroll in 20+ unit deals
  • Hidden concessions: Free rent or move-in credits not accounted for

These can quietly destroy your year 1 NOI — and scare off lenders during underwriting.


🧠 5. “Pattern of Risk” Scoring

Rather than evaluate a deal line-by-line, Korra also looks holistically:

  • Do the numbers align with the story?
  • Is the sponsor assuming too much rent growth?
  • Are the expenses scaling properly for building size?

Our Korra Score algorithm integrates dozens of these red flags into a unified, simple signal — helping you screen faster, and only dig into deals worth your time.


âś… Actionable Insights in Minutes, Not Weeks

Here’s what you get when you run a deal through Korra:

  • 🔎 AI-driven deal screen with all major risk flags
  • 📊 Smart underwriting that adapts to your market
  • đź§ľ Investor and lender-friendly outputs for capital raising
  • đź§  Transparent scoring to compare deals side-by-side

The goal? Save you from bad assumptions, bad partners, and bad surprises — before you make an offer.


🚀 Want to See Korra’s Red Flag Engine in Action?

👉 Upload a deal here → and let our AI do the digging.

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