Invoice verification
software with AI.
Watch invoice intake, matching and exception handling in the product demonstration.
The ADVISORI AI invoice verifier connects PDF, scan and e-invoice capture with verification rules and matching against purchase orders and goods receipts. The AI learns per supplier without manual template maintenance. Automatic approval conditions and exceptions requiring your team’s decision are defined for your process.
No obligation · 30 minutes · agree test documents beforehand
Dashboard values are illustrative example data, not measured customer results.
E-invoicing has been relevant to domestic German B2B invoice receipt since 2025. Receipt, format validation and business approval are separate tasks. The Finance Ministry FAQ explains the applicable arrangements.
Invoice intake, checks and approval in the product demonstration
The short video shows the product workflow. Then agree the formats, rules and exception cases that need testing for your deployment.
See it run on your own invoices.
Book a live demoNo obligation · 30 minutes · agree test documents beforehand
An AI invoice checker for capture, matching and exception handling
The ADVISORI AI invoice verifier connects supplier-specific learning without manual template maintenance with formal and business verification rules. The agreed scope defines formats, integrations and automatic or manual approvals.
- No manual template maintenance
- PDF, scan & e-invoice
- Rules & 3-way match
- Test the ERP handover
Understanding and choosing AI invoice verification software
What it is, which features really matter and who it pays off for.
What is digital invoice verification?
Digital invoice verification supports incoming-invoice controls: capture data, apply agreed formal and arithmetic rules, match purchase orders and goods receipts, and route exceptions for a decision. Automatic approval requires suitable data and explicitly agreed approval rules.
The ADVISORI AI invoice verifier learns per supplier without manual template maintenance. This does not mean every unfamiliar layout is ready for production without checking. Representative invoices and supported format versions belong in the implementation test.
What is invoice verification software with AI?
AI can assist with capturing and mapping invoice information. Verification rules, business decisions and system handover remain distinct tasks. A traceable process shows which source and rule led to each finding and approval.
For your evaluation: Test a complete case, including a discrepancy, its decision and the ERP handover.
What features should AI invoice verification software have?
These seven questions help compare offers against the same test scope:
- Capture and learningWhat supplier-specific preparation and correction are required?
- Format coverageWhich PDF, scan, ZUGFeRD and XRechnung versions and profiles have been tested?
- Verification depthWhich formal, arithmetic and business questions are checked with which data?
- ExceptionsWho decides unknown information, contradictions and exceeded tolerances?
- ERP integrationWhich functions are demonstrated for your actual system?
- Review flagsHow are possible duplicates and changed payment details resolved?
- Evidence and operationWhich records, roles, retention and processing arrangements are agreed?
Who is AI invoice verification for?
AI-based invoice verification software has the biggest impact for:
- companies with high document volume (hundreds to thousands of invoices per month)
- many different suppliers and invoice formats
- decentralized approvals across sites and departments
- regulated industries with strict compliance and audit requirements
Correct arithmetic does not establish business approval
A useful software decision needs a traceable test case. This fictional example invoices ten items at €100 net each, while the goods receipt confirms eight. The €1,000 net total is arithmetically correct; the difference of two items, or €200 net, still needs a business decision.
| Check | Required data | Finding in the example | Decision or completion check |
|---|---|---|---|
| Arithmetic | Line: 10 × €100; net total: €1,000 | The line total agrees with the invoice net total | No arithmetic error found; business approval has not been established |
| Purchase order and goods receipt | Order: 10 items; confirmed receipt: 8 items | Two items, or €200 net, are not supported by the goods receipt | Responsible person resolves partial delivery, missing evidence or correction before approval |
| Format and mandatory information | Original file, format version and required invoice information | Not checked in this example; a PDF view is insufficient | Record the validation result separately from unresolved business questions |
| Payment details and exceptions | Vendor master data, invoice and agreed change controls | A changed IBAN would be a review flag, not proof of fraud | Confirm the change through an independently verified contact |
What to prepare for a meaningful demonstration
Agree suitable test invoices, redacted where needed, together with purchase orders, goods receipts and relevant master data. Identify approval rules, deviation tolerances and the people authorised to decide exceptions. Structured e-invoices require the original file and format version. Data release and transfer arrangements should be agreed beforehand.
Checks to agree before accepting the solution
- Each selected test case identifies the data source, applied rule, finding and subsequent decision.
- Unknown or contradictory information enters the agreed exception process; approval is not assumed.
- The ERP handover is tested for failure responses, retries and protection against duplicate processing.
- Roles, records, retention, data processing, deployment and accountable contacts are defined for the commissioned scope.
What a successful validation does not establish
Format validation checks structure and configured rules. It does not establish actual delivery, entitlement to deduct input VAT or a fully GoBD-compliant end-to-end process on its own. For hybrid e-invoices, the structured component is authoritative for the electronic invoice; the visible PDF information can differ. Supported versions and profiles need confirmation in the actual test.
Are data or responsibilities unresolved? A maturity assessment can help identify prerequisites before a software decision. Explore digital maturity
Discuss the demonstration test scopeSix building blocks. One verification run.
Ask for the functions relevant to your deployment to be demonstrated, including exceptions and system boundaries. Views contain illustrative example data, not measurements or customer results.
AI extraction
Supplier-specific learning without manual template maintenance supports capture. Document quality, format versions and required corrections are checked against your test cases.
- E-invoices (ZUGFeRD & XRechnung) processed natively
- Test capture quality for scans and photographed receipts
- Intake via email inbox, API or upload
- Document supplier learning and required preparation
Fits into your system landscape.
Intake channels and target systems are defined for the commissioned scope. Each connection needs checks for data, functions, permissions and error handling.
- PDF, scan, e-invoice (ZUGFeRD, XRechnung), EDI & PEPPOL as intake
- SAP, DATEV, Dynamics 365 & other ERPs as targets
- REST API & webhooks for custom connections
SAP
DATEV
Microsoft 365
Oracle NetSuite
SageDigital invoice verification in five steps.
From intake to approval, our software replaces the manual review of every incoming invoice with a continuous, traceable process: capture, verify formally and substantively, approve.
- 01
Invoice intake & AI extraction
PDFs, scans and supported e-invoices are ingested. Supplier-specific learning needs no manual template maintenance; new document types are tested within the agreed scope.
- 02
Formal verification against §14 UStG
Mandatory fields, tax statement and arithmetic totals are verified. If a field is missing or the tax logic is off, the invoice gets flagged instead of waved through.
- 03
Substantive checks & 3-way match
The invoice is matched against rates, purchase order and goods receipt: quantities, prices and terms. Deviations are escalated deliberately, not ignored.
- 04
Duplicate & fraud screening
Rules flag possible duplicates or changed payment details. A flag needs a business review and does not by itself establish fraud.
- 05
Invoice approval & handover to the ERP
Approvals follow agreed roles and rules. Handover to the target system is tested for failures and retries and recorded traceably.
Acceptance needs a connected data source, rule, finding, decision and system handover. Your test cases establish which cases can be automated and what handling effort remains.
Compare handling time using your own assumptions
The starting values are fictional examples. Change volume, handling times and the share of assisted cases. The result is a scenario calculation, not measured product performance or a promised saving.
Hours = annual volume × share / 100 × (baseline minutes − assisted minutes) / 60
No obligation · 30 minutes · agree test documents beforehand
Compare invoice verification offers with the same test case
Capture, format validation, business matching and approval are different tasks. First establish which your existing systems cover and which need supplementing. These questions help compare types of offer; they do not assert that individual vendors lack a function.
ERP and enterprise AP
Consider an extension to your existing system where purchase orders, goods receipts and approvals are already managed there.
- Which checks are included in the existing module, and which require additional licences or partner services?
- Are external documents, partial quantities and credit notes handled throughout the intended process?
- How are implementation, updates and operation divided between the offer and your existing ERP?
Test the ADVISORI scope against the same cases
The ADVISORI AI invoice verifier connects supplier-specific learning without manual template maintenance with rules, matching and exception handling. Ask for the relevant formats, duplicate and payment-detail flags, integrations and approvals to be demonstrated against the same cases. A conversationally drafted rule still needs business review and approval like any other rule.
Distinguish documentation, demonstration and acceptance
For each requirement, record whether it is described, demonstrated or accepted for your configuration. Include the source, version, test case, result and remaining limitations. Deployment, on-premise options, prices and additional services depend on the actual offer. Missing public documentation does not establish that a vendor lacks a function.
KoSIT: validator and validation configurations — Primary source for the described engine, not confirmation of other products’ capabilities.
Which checks and integrations does your use case require?
Book a live demoNo obligation · 30 minutes · agree test documents beforehand
Clarify security evidence and the operating scope
Invoices are tax-relevant documents. Our software is built for verifiability. Every decision is documented.
GoBD-compliant audit trail
Every check, every rule and every correction logged in an audit-proof way.
Deployment and data processing
Agree hosting, processing locations, access and contractual responsibilities for the actual deployment.
Roles & dual control
Demonstrate authorised approval and handling of critical deviations in the agreed process.
Management systems, assurance reports and conformity
ADVISORI FTC: review evidence for the relevant scope. A SOC 2 report is an attestation report; the EU AI Act and GoBD concern legal or process requirements and are not ISO certificates.
Formats, implementation, cost and verification limits
We have very diverse vendors and formats. Does this work?
Does the software also process e-invoices such as ZUGFeRD and XRechnung?
How long does it take to set up a new invoice type?
How accurate is the verification, and what happens when it is uncertain?
Can it integrate with our ERP (SAP, DATEV)?
Is the solution GoBD and data-protection compliant?
How much does AI invoice verification software cost?
Which invoice verification software is the best?
What should you look for when choosing AI invoice verification?
What does the example with ten invoiced and eight received items show?
Let's move your invoice verification into automation.
Use a 30-minute demonstration to discuss your process, suitable test documents and required checks. Then clarify integrations, deployment and the next test scope.
No obligation · 30 minutes · agree test documents beforehand
Latest articles & guides
In-depth, hands-on knowledge on digital invoice verification, e-invoicing and GoBD – from our experts.
Digital Invoice Verification: Guide, Benefits & Process (2026)
Digital invoice verification explained: definition, formal and factual checks, mandatory fields, benefits, requirements (e-invoice, GoBD) and the 4-step process, template-free with AI.
Invoice Verification with SAP & DATEV: Native Checks + AI Automation (2026)
How invoice verification works in SAP (MIRO, MM-IV) and DATEV (Belegfreigabe), where it hits limits, and how AI automates capture and checking and hands documents to SAP and DATEV.
Invoice Verification Software: The Best Solutions Compared (2026)
Invoice verification software compared 2026: AI-based, OCR, ERP module, DMS and validators, with selection criteria, a comparison table and answers on cost and fit.
Automate Invoice Approval with AI: Workflow & Approval Matrix (2026)
Automate the invoice approval workflow with AI: how the digital approval process works, the four-eyes principle and approval matrix, SAP/DATEV integration, GoBD audit trail and selection criteria.
Automate Invoice Verification with AI: Process, Steps & Benefits (2026)
Automate invoice verification with AI: how template-free AI extraction works, the process, use cases, SAP/DATEV integration, selection criteria and the concrete benefits.
Invoice Verification with AI: Definition, Process, Required Fields & Checklist (2026)
Invoice verification with AI explained: formal, factual and arithmetic checks, the process in 5 steps, a required-fields checklist and how automated, AI-based verification works in seconds.
OCR vs. AI Extraction for Invoices: Why Templates Fail (2026)
OCR vs. AI extraction for invoices: the difference between template-based OCR, iOCR and template-free AI, why templates fail, a real example, comparison table and selection criteria.
How to Validate an E-Invoice with AI: ZUGFeRD & XRechnung Checking (Guide + Tools 2026)
How to validate an e-invoice: the two levels (format conformity to EN 16931 and mandatory fields), a step-by-step guide, free validators, typical errors and checking at scale with AI.
Germany's E-Invoicing Mandate 2025-2028: Deadlines, Who's Affected & Exemptions
Germany's B2B e-invoicing mandate: receiving obligation since 2025, issuing from 2027 (turnover over EUR 800,000) and 2028. Who is affected, which exemptions apply and how to prepare.
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