Document AI · Document AI

AI Flood Investigation Extraction & Data Extraction

Uptiq's Document AI extracts the zone the structure falls in, the Special Flood Hazard Area finding, FIRM panel and map revision date, determination date, NFIP community number and participation status, and any LOMA or LOMR reference into the credit file and your flood monitoring record.

95%+
Extraction accuracy
41%
Faster underwriting cycle time
100+
Native integrations

Trusted by financial institutions across banking, lending & credit

CRE LendersMortgage LendersCommunity BanksCredit UnionsCommercial Lenders

What is a Flood Investigation?

A flood investigation is the standard flood hazard determination ordered on real property collateral, identifying the FIRM panel governing the site, the zone the structure falls in, and whether federal flood insurance is required at all.

Uptiq's Document AI extracts the zone the structure falls in, the Special Flood Hazard Area finding, FIRM panel and map revision date, determination date, NFIP community number and participation status, and any LOMA or LOMR reference into the credit file and your flood monitoring record.

A structure can sit outside the Special Flood Hazard Area while part of the parcel sits inside it, and only the structure's position drives the mandatory purchase requirement

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
A structure can sit outside the Special Flood Hazard Area while part of the parcel sits inside it, and only the structure's position drives the mandatory purchase requirement
Community participation status governs whether federal flood insurance can be written at all, and it is reported as a program code rather than a sentence
Letters of Map Amendment and Revision arrive as separate correspondence that must be tied back to the original finding before it can be treated as overturned
Multi-building and multi-parcel collateral needs a determination per structure, not one finding stretched across the whole site
Life-of-loan monitoring generates re-determination notices during servicing that have to be matched to the right loan and compared with the finding at origination

AI agents built for flood investigation processing

Uptiq's Document AI extracts the zone the structure falls in, the Special Flood Hazard Area finding, FIRM panel and map revision date, determination date, NFIP community number and participation status, and any LOMA or LOMR reference into the credit file and your flood monitoring record.

1
Classification
Flood Investigation documents are classified and matched to the correct extraction schema automatically.
2
95%+ accuracy extraction
Every field is extracted with full data lineage back to the source page.
3
Validation & structuring
Extracted fields are validated and structured for downstream use.
4
Delivery into your LOS
Structured output flows into your existing LOS — 100+ native integrations, no rip-and-replace.

The result: your team spends time on judgment calls, not re-keying flood investigation data — measured across production deployments.

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

Fields Uptiq extracts from a Flood Investigation

A sample of the structured fields Uptiq's Document AI captures from this document type.

FieldExample
Flood Zone (Structure)AE
In Special Flood Hazard AreaYes
FIRM Panel / Suffix48453C0465K
Map Revision Date2023-01-06
Determination Date2026-02-11
LOMA / LOMR ReferenceLOMA 24-06-1187A
NFIP Community Number480624
Community Participation StatusParticipating — Regular Program
Sample structured output
{
  "flood_zone_structure": "AE",
  "in_special_flood_hazard_area": "Yes",
  "firm_panel_suffix": "48453C0465K",
  "map_revision_date": "2023-01-06",
  "determination_date": "2026-02-11",
  "loma_lomr_reference": "LOMA 24-06-1187A"
}

What changes when this runs automatically

Flood Investigation Extraction, Not Just Storage

Uptiq's Document AI extracts the zone the structure falls in, the Special Flood Hazard Area finding, FIRM panel and map revision date, determination date, NFIP community number and participation status, and any LOMA or LOMR reference into the credit file and your flood monitoring record.

Handles the Real-World Complexity

A structure can sit outside the Special Flood Hazard Area while part of the parcel sits inside it, and only the structure's position drives the mandatory purchase requirement

Consistent, Structured Output

Letters of Map Amendment and Revision arrive as separate correspondence that must be tied back to the original finding before it can be treated as overturned

95%+ Accuracy, Full Audit Trail

Every extracted field traces back to its source page — examiner-ready documentation, every time.

Integrates with Your LOS

100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.

Scales Without Adding Headcount

Process more flood investigation volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

Results represent aggregate outcomes across production deployments. Individual results may vary.

From flood investigation receipt to structured output

Flood Investigation arrives at intake

The flood investigation arrives via email, portal, or upload. AI classifies it automatically.

AI extracts key fields

Fields are extracted at 95%+ accuracy with full data lineage back to the source page.

Data is validated and structured

Extracted fields are validated and structured for downstream use.

Delivery into your LOS

Structured, extracted data lands in your existing loan origination or servicing system.

What teams ask before they start

Flood Investigation AI is Uptiq's Document AI capability for classifying and extracting flood investigation documents, turning them into structured, underwriting-ready data instead of a PDF to read manually.
Uptiq's Document AI is certified to 95%+ extraction accuracy by a Knowledge Team of former underwriters, bankers, and analysts, with every extracted field tracing back to its source page for audit purposes.
No. Uptiq reads and structures the determination your flood vendor produces — it does not run the hazard analysis and is not a certified determination provider. Zone, panel, and community status are extracted with lineage back to the source page.
Yes. LOMAs and LOMRs are classified as their own documents, dated, and linked to the determination they modify, so the file reflects the amended finding rather than the original panel designation. Whether insurance is still required remains your policy call.
Re-determination notices are matched to the loan and compared against the zone and panel recorded at origination, and a change in either raises an exception in your servicing record. Uptiq structures the notice; borrower notification steps stay your process.
Yes. Uptiq connects to 100+ integrations across loan origination systems, core banking platforms, and underwriting workflows — the agent layer sits above your existing stack with no rip-and-replace required.

See Flood Investigation AI in Action

Book a 30-minute session. We'll run a live extraction demo on your own flood investigation documents.

Flood Investigation AI, done right.

150+ financial institutions run Uptiq's AI agents to process financial documents and accelerate underwriting.