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Document AI · Data Verification & Validation

Verify extracted document data before it becomes a business transaction.

Artificio applies configurable verification rules, cross-references data with ERP or local records, uses AI for complex checks and transformations, flags possible document manipulation for review, and routes failed verification to the right person before data moves downstream.

Request a DemoExplore validation rules
  • No-code rules + AI rules
  • ERP & local cross-reference
  • Human review
  • Audit-ready workflow
VALIDATE · SUPPLIER_INVOICERULES RUNNING
  1. VFMandatory FieldsInvoice # · Vendor · PO · AmountPASS
  2. XRXREF · Vendor / PO MatchDocument data ↔ SAP master & PO dataPASS
  3. CACalculation · Line TotalQty × Unit Price vs. extracted amountREVIEW
  4. AIAI Rule · Date Normalization03/14/26 → 2026-03-14FIXED
  5. VIVision CheckPotential document manipulation indicatorsREVIEW

RESULT: 3 passed · 1 transformed · 2 require review → downstream posting held

  • Create no-code Function, Calculation, XREF, Verification, and AI rules
  • Match extracted values against SAP, ERP, master data, APIs, or local Data Groups
  • Use simple prompts for AI-based verification and data transformation
  • Check required fields, thresholds, formats, permissible values, duplicates, exact matches, and line-item status
  • Notify the right person when verification fails instead of silently passing bad data downstream
Rule-basedDeterministic verification
XREFCompare with ERP or local data
AI rulesPrompt-based checks & transformations
Exception-awareNotify and hold failed checks

Where validation fits

Extraction tells you what the document says. Verification determines whether you can trust and use it.

After Artificio extracts header fields, key-value pairs, tables, and line items, the validation layer applies the business checks required before the data can continue to SAP, another ERP, a portal, an API, or the next workflow step.

  1. 1

    Extract

    Fields, tables, line items

  2. 2

    Verify

    Rules, XREF, AI, vision

  3. 3

    Transform

    Normalize and prepare data

  4. 4

    Review

    Route failed checks

  5. 5

    Continue

    ERP, portal, API, workflow

No-code rule engine

Use the right type of rule for each verification problem.

Your current Artificio rule builder already exposes multiple rule types. Rather than forcing every check into AI, deterministic business logic stays deterministic while AI is available where interpretation or flexible transformation adds value.

  • 01 · Function

    Transform or manipulate data

    Prepare extracted values for the next step without writing custom code.Find & ReplaceConcatenateDefault ValueCopySplitSliceDate ConverterEmail Flow
  • 02 · Calculation

    Calculate and reconcile values

    Derive values or compare arithmetic relationships between extracted fields and table rows.Qty × PriceTotalsVarianceDerived fields
  • 03 · XREF

    Cross-reference another data source

    Verify extracted data against a local Data Group, ERP data, master data, APIs, or another trusted source.MatchAI MatchERP LookupMaster Data
  • 04 · Verification

    Apply explicit data-quality rules

    Check whether the record meets the conditions required to proceed.Mandatory FieldsThresholdDate FormatPermissible ValuesExact MatchDuplicateLine Item Status
  • 05 · AI

    Prompt-based verification & transformation

    Use natural-language instructions when the rule requires context, flexible matching, or transformation that is difficult to express with fixed logic.Prompt RuleNormalizeInterpretTransform
AI rules

Describe the rule in plain language when fixed logic isn't enough.

Artificio lets users create AI rules using a prompt, select the input Data Group and output Data Group, and reference fields from the record. That gives business teams a flexible way to verify, normalize, or transform extracted data without creating a custom program for every variation.

Use AI rules selectively for the parts of the process that benefit from semantic understanding; keep deterministic controls such as exact matches, thresholds, and calculations in the standard rule engine.

AI Rule · Prompt Configuration
Normalize #InvoiceDate to YYYY-MM-DD. If the date cannot be interpreted confidently, return REVIEW_REQUIRED. Also standardize #VendorName for downstream matching without changing its business meaning.
INPUT DATA GROUP
Supplier Invoice
OUTPUT DATA GROUP
Validated Invoice

Verification rule library

Build controls around the data that matters.

The rule engine can verify both document header data and line-item/table data before downstream processing.

  • Completeness

    Mandatory fields

    Prevent a record from moving forward when required information such as invoice number, PO, material, date, amount, or business identifiers is missing.Mandatory Fields
  • Ranges

    Threshold values

    Flag amounts, quantities, dates, measurements, or other values that fall outside business-defined limits.Threshold Value
  • Format

    Date and format checks

    Verify that extracted data conforms to the format required by downstream applications, then transform it when appropriate.Date FormatDate Converter
  • Allowed values

    Permissible values

    Check codes, statuses, units, currencies, categories, or other fields against an allowed list.Permissible Values
  • Identity

    Exact match & duplicates

    Verify exact identifiers and stop duplicate records before they move into an ERP or another system.Exact MatchDuplicate Value
  • Tables

    Line-item status

    Verify individual table rows and determine whether each line is valid, failed, incomplete, or ready for the next processing step.Line Items Status

AI Vision verification

Use visual AI to flag documents that may require authenticity review.

Beyond checking extracted values, Artificio can use vision-based checks to look for visual inconsistencies or manipulation indicators in a document. Suspicious results should be treated as a review signal, not as an autonomous legal or forensic determination.

Potential manipulation indicators

Use AI vision to identify visual patterns that may justify additional review, such as inconsistent content regions, unexpected overlays, altered visual elements, or other document anomalies.

Layout consistency
PASS
Text / image region consistency
REVIEW
Document visual anomalies
REVIEW

AI can surface potential indicators for review; it should not be presented as a guarantee that a document is authentic or fraudulent.

Combine visual and data checks

A document can look normal while its values conflict with ERP records, or the data may match while the document itself shows unusual visual characteristics. Artificio can combine both signals inside the same verification workflow.

Vendor / ERP match
PASS
PO / ERP match
PASS
Amount / PO comparison
REVIEW
Vision check
REVIEW

Data transformation

Fix and normalize data before the next system receives it.

Validation is not only about pass or fail. Artificio rules can transform extracted values into the structure expected by SAP, another ERP, a portal, an API, or a downstream application.

Extracted data

Before transformation

Date: 03/14/26

Vendor: ACME SUPPLY COMPANY, INC.

Reference: PO 4500-006-31

Amount: $1,250.00 USD
Prepared data

Ready for downstream use

Date: 2026-03-14

Vendor: ACME SUPPLY COMPANY INC

Reference: 4500000631

Amount: 1250.00

Exception notification

When verification fails, tell the person who can fix it.

Failed checks do not need to disappear into a generic queue. Artificio can hold the record and trigger the appropriate email or workflow notification so the responsible user has the context needed to take the next action.

Verification failure

Attach the rule result to the document record and stop or continue processing according to your configured rule behavior.

RULE RESULT
Price Verification Failed
Invoice: INV-88421
Document price: $25.50
ERP price: $25.00
Action: Review required

Notify the right owner

Send an email or trigger a workflow based on the type of failure, for example AP, purchasing, quality, master data, sales operations, or another responsible team.

EMAIL NOTIFICATION · PURCHASING
Subject: PO Price Mismatch Requires Review

A supplier invoice failed the configured XREF price check. Open the Artificio record to review the document, extracted value, reference data, and failed rule.

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XREF verification

Compare the document with the business system that knows the truth.

Extracted data becomes far more valuable when Artificio can check it against trusted reference data. XREF rules can match a document against ERP records, local Data Groups, master data, another document, or external source data before the transaction proceeds.

Document dataSupplier Invoice
Vendor
17300017
PO
4500000631
Material
MAT-100
Quantity
100
Unit Price
$25.50 (mismatch)
Reference dataERP / Local DataPrice mismatch → hold record → route exception
Vendor
17300017 ✓
PO
4500000631 ✓
Material
MAT-100 ✓
Open Quantity
100 ✓
PO Unit Price
$25.00 âš  (mismatch)

Business use cases

Verify document data before it becomes operational data.

  • Accounts Payable

    Check vendor, PO, duplicate invoice, dates, amounts, totals, line items, and reference data before invoice posting.

  • Sales Order Processing

    Verify customer, material, quantity, requested date, pricing, units, and customer references before order creation.

  • Manufacturing Quality

    Validate COA characteristics, measurement ranges, units, lot identifiers, and expected quality data before results recording.

  • Master Data

    Verify mandatory fields, permissible values, duplicates, naming rules, reference records, and field formats before creation.

  • Data Migration

    Run completeness, duplicate, mapping, format, and cross-reference checks before records are moved into the target system.

  • Portal / API Intake

    Normalize and verify submitted data before sending it into external portals, APIs, ERP transactions, or other workflows.

What happens next

Validation is the trust layer between extraction and action.

This page focuses on verifying, cross-referencing, and preparing data. Once the record passes its configured controls, the next Platform capabilities can continue the process.

FAQ

Common questions about document data verification and validation.

What is document data verification in Artificio?
After data is extracted from a document, Artificio can run configured rules to check completeness, format, calculations, permissible values, duplicates, exact matches, line-item status, cross-references, and other business conditions before the record continues.
Can Artificio verify document data against SAP or another ERP?
Yes. XREF rules can compare extracted values with trusted reference data made available to the workflow, including ERP data, master data, local Data Groups, APIs, or other configured sources.
What is an XREF rule?
XREF is a cross-reference rule that compares one set of data with another. It can perform configured Match or AI Match behavior depending on the business requirement.
Can users create AI validation rules with prompts?
Yes. Users can select input and output Data Groups and write a natural-language prompt that references fields to perform AI-assisted verification or transformation.
Can Artificio transform data as part of validation?
Yes. Function and AI rules can be used for operations such as find-and-replace, concatenation, default values, copying, splitting, slicing, date conversion, and context-aware normalization before downstream use.
Can Artificio detect fake or tampered documents?
AI vision can be used to flag visual inconsistencies or potential manipulation indicators for human review. These checks should be treated as decision-support signals rather than a guarantee that a document is authentic or fraudulent.
What happens when a verification rule fails?
The configured workflow can hold or flag the record, preserve the failed rule result, and trigger an email or review workflow so the responsible person can take the next action.
Can rules be run in sequence?
Yes. Multiple rule types can be combined so a record moves through deterministic checks, cross-reference rules, transformations, AI-assisted checks, and exception handling in the order required by the business process.

Security & compliance

Enterprise security across every solution

ISO 27001:2013 certified, SOC 2 Type 2 compliant, GDPR and HIPAA ready. Every agent action is logged, auditable, and runs in isolated environments.

  • ISO 27001:2013
  • SOC 2 Type II
  • GDPR ready
  • HIPAA ready

See your validation logic run

Bring one document and the rules your team checks manually today.

Show us an invoice, purchase order, COA, form, master-data request, or another business document. We'll demonstrate how Artificio can extract the data, cross-reference it with trusted records, run deterministic and AI rules, transform values, and route failed verification for action.

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