Occupation manual 001 / Real estate appraisal

Let AI prepare the evidence desk. Keep valuation judgment human.

A conservative workflow for assignment intake, approved-source control, comparable-research preparation, discrepancy checks, narrative QA, confidentiality, and licensed review. It is not a valuation model and never produces the value opinion.

Short answer: use AI like a controlled quality-control clerk. It may organize approved inputs, compare fields, flag discrepancies, draft neutral clarification questions, and check whether a statement has a visible source. The appraiser keeps inspection judgment, final comparable selection, adjustments, condition and quality conclusions, market analysis, reconciliation, value opinion, certification, and signature.

Professional and confidentiality boundaryThis educational guide does not replace USPAP, its current Guidance and Reference Manual, state law, credential requirements, client instructions, lender overlays, assignment conditions, or legal advice. Do not place confidential information or assignment results into an AI service unless the client or firm has authorized the system and the data handling has been reviewed.

What the official sources make clear

Technology may assist

The Appraisal Foundation says AI may work alongside other tools, but technology does not substitute for professional judgment. An appraiser must understand whether an analytical output is credible before using it.

Responsibility does not transfer

The appraiser still owns competency, confidentiality, nondiscrimination, recognized methods and techniques, credible results, and compliance with the laws and requirements that apply to the assignment.

Current standards checkThe Appraisal Foundation identifies the 2024 edition as the current USPAP edition. Its FAQ says the edition took effect January 1, 2024 and has no end date. The companion Guidance and Reference Manual is updated separately. Always recheck before relying on a saved workflow.

Build the six-part Appraisal Evidence Desk

01

Set the assignment boundary

Record intended use, intended user, property type, client instructions, credential/competency check, applicable overlays, approved tools, and prohibited data before opening an AI tool.

Output: assignment boundary card
02

Name every source

Create an inventory with the exact source name, access date, authorized use, and whether independent verification is required. Avoid broad labels such as “public records” when the specific source is known.

Output: approved-source inventory
03

Build a factual field ledger

Place subject and candidate-sale fields beside their source IDs. AI may compare exact entries and flag conflicts. It may not decide which source is credible or which sale is comparable.

Output: source-linked data ledger
04

Route discrepancies, not conclusions

Turn missing or conflicting facts into neutral verification questions. Close each item only with a source or documented professional resolution.

Output: discrepancy queue
05

Run narrative and bias QA

Check for unsupported adjectives, demographic or protected-class references, proxy language, inconsistent measurements, unexplained search expansion, missing verification, invented citations, and conclusions that are not visibly supported.

Output: report QA sheet
06

Issue a licensed-review receipt

The appraiser reviews every AI-assisted output, resolves discrepancies, makes all valuation decisions, confirms confidentiality and nondiscrimination checks, and signs only after the assignment is complete.

Output: professional review receipt

Give AI bounded jobs, not appraisal authority

JobApproved inputAI outputHuman gate
Intake clerkBlank checklist plus approved assignment metadataMissing-item list and organized intake cardAppraiser confirms scope, competency, and assignment conditions
Source-control clerkSource names and permitted factual fieldsSource inventory and blank traceability tableAppraiser decides reliability and required verification
Discrepancy checkerApproved, source-linked field tableMismatches and neutral follow-up questionsAppraiser resolves every conflict
Narrative QA clerkRedacted or approved report draftUnsupported-language, consistency, and missing-source flagsAppraiser rewrites, validates, or rejects each flag
Policy-update clerkCurrent public first-party releasesDated change summary with direct linksQualified staff checks applicability before changing practice

Do not delegate these decisions

AI may prepare

  • blank assignment checklists
  • approved-source inventories
  • field-by-field discrepancy tables
  • neutral verification questions
  • missing-source and internal-consistency flags
  • public policy update summaries with direct links
  • redacted administrative templates

Appraiser must control

  • assignment acceptance and competency
  • inspection observations
  • source credibility and final comparable selection
  • adjustment method and amount
  • condition and quality conclusions
  • market-area analysis
  • reconciliation and value opinion
  • certification, signature, and ROV response

Comparable preparation needs a source trail

For covered Fannie Mae assignments, the Selling Guide says the appraiser is responsible for determining the best and most appropriate comparables. It also requires specific data and verification sources and explains that interested-party information may require verification through a disinterested source. That is why this workflow produces a candidate evidence table, not an AI-selected final comparable set.

Safe distinctionA computer can sort candidate records by explicit fields. Only the appraiser can determine whether those records are credible, competitive, comparable, and appropriate for the assignment, then explain the reasoning and any market-area expansion.

Prepare for UAD 3.6 without guessing

Fannie Mae and Freddie Mac entered broad production for UAD 3.6 in January 2026. Current first-party transition materials say all new appraisal reports submitted to UCDP must use UAD 3.6 beginning November 2, 2026. Build a change packet from the official specification, client or lender instructions, vendor release notes, test results, and staff review. Do not ask a general chatbot to invent a field mapping.

Use this prompt only with approved inputs

Act as a quality-control clerk, not an appraiser. Compare the supplied fields exactly as written. Create: (1) a mismatch table, (2) a missing-source list, (3) neutral clarification questions, and (4) a list of statements that lack a visible source.

Do not select comparables, make adjustments, infer condition or quality, analyze protected characteristics or demographic proxies, reconcile value, or propose a value conclusion. Do not invent missing facts. Mark uncertainty clearly.

If any input appears confidential, stop and label it for approved-system review.

Final review before any report leaves the desk

First-party source desk

Build the desk before choosing another AI tool.

Download the worksheet, use fictional or approved nonconfidential examples, and have a qualified appraiser review the workflow against actual state, client, and assignment requirements.