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GoBD-compliant §203 StGB-compliant Q2

Vendor Onboarding Agent

Screen, validate, create vendors - from sanctions list to ERP master data.

Extracts master data from vendor self-disclosure, validates VAT ID, checks sanctions lists, assesses risks and creates the vendor in the ERP.

Analyse your process
Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

Rule-based VAT ID and sanctions-list checks, AI risk scoring, approval above threshold

The agent validates VAT ID via EU VIES and sanctions lists deterministically, scores vendor risk via AI from master data and network indicators, and hands high-risk vendors to procurement for approval.

Outcome: Onboarding throughput reduced from 5 days to under 4 hours, 100 percent coverage of sanctions-list screening, and documentation of the risk assessment per vendor.

45% Rules Engine
44% AI Agent
11% Human

The split between mandatory checks and risk assessment structures the 9 steps:

240,000 euros first order, invalid VAT ID only caught in audit

Every new vendor is a risk entry point into the accounts payable master data. Anyone who creates one unchecked amplifies the error with every subsequent posting - from input VAT to the payment run. The Vendor Onboarding Agent turns screening into a mandatory step before the first invoice lands in the system.

The problem is not the onboarding, it is the blind flight afterwards

Most finance organisations check new vendors at first creation. After that comes the blind flight. While a large share of companies check master data at onboarding, the share of systematic checks before the payment run drops drastically. Vendor impersonation attacks operate exactly in this gap: a changed bank detail, an expired sanctions list entry, an invalid VAT ID - and money flows to the wrong account or the input VAT deduction gets clawed back at the next audit.

On top of that sits the structural data flaw. Many procurement leaders have no clear overview of their organisation’s entire vendor network, and purchase-to-pay teams regularly report missing end-to-end alignment and missing ownership of master data. Anyone entering the process under these conditions finds duplicates, outdated bank details and unclear risk profiles only after the damage is already booked.

A scenario CFOs recognise

A mid-sized chemical manufacturer is approached by a new raw-material supplier from Eastern Europe. Initial order: EUR 240,000 (USD 260,000). Procurement sends the self-disclosure to accounting, the vendor is created. Two weeks later the first invoice arrives and is paid. Three months later the internal auditor establishes: the VAT ID was invalid from the start. The input VAT deduction must be reversed, the tax audit additionally questions the due diligence performed. At the same time the vendor appears on an updated sanctions list - and the compliance officer has no process in place to check existing master records against list updates.

With the Vendor Onboarding Agent this case is stopped before the first payment. The EU VIES validation catches the invalid VAT ID in seconds. The sanctions list check against EU, OFAC and UN lists runs automatically and is applied to the master data on every list update. The bank details are validated algorithmically, the duplicate check protects against accidental double creation, and the risk scoring combines industry, country and credit data into a metric that a human must approve when it exceeds the threshold.

How the Decision Layer breaks down the process

The agent covers nine decision steps, each clearly mapped to rule, AI or human. Master data extraction from the self-disclosure and reading payment terms from contracts use LLM-based document processing. VAT ID validation, sanctions screening, IBAN check, duplicate matching and ERP creation run rule-based via API integrations. Risk assessment is a hybrid: rule-based factors combined with AI scoring. Only one decision remains with the human - approval when the risk score is elevated. Where judgement is genuinely needed, the compliance officer decides, documented in the audit trail.

Every vendor is validated before the first invoice posts, and the infrastructure feeds four further agents

The business impact is twofold. First, the structural weakness disappears: every vendor is validated before the first invoice is booked. Second, the foundation emerges on which additional finance agents can build. VAT ID validation is reused by the Invoice Capture Agent and Withholding Tax Agent. The sanctions list check feeds the Payment Run Agent. The risk scoring pattern becomes the template for the Fraud Detection Agent. Once built, the infrastructure pays off across multiple processes simultaneously.

For the CFO this means: solid due diligence documentation for the tax audit, reduced vendor fraud exposure, and an accounts payable master file the payment run can trust. (US: from 22 June 2026, expanded Nacha rules on ACH fraud monitoring also take effect - anyone who builds a clean validation infrastructure today meets these requirements without having to retrofit.)

Micro-Decision Table

Who decides in this agent?

9 decision steps, split by decider

45%(4/9)
Rules Engine
deterministic
44%(4/9)
AI Agent
model-based with confidence
11%(1/9)
Human
explicitly assigned
Human
Rules Engine
AI Agent
Each row is a decision. Expand to see the decision record and whether it can be challenged.
Extract master data What master data is in the self-disclosure? AI Agent Vendor

LLM extraction from unstructured documents

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Challengeable by: Vendor

VAT ID validation Is the VAT ID valid? Rules Engine Vendor

API query against EU VIES database

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Challengeable by: Vendor

Sanctions list check Is the vendor on a sanctions list? Rules Engine

API check against EU, OFAC and UN sanctions lists

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Bank details validation Are the bank details technically correct? Rules Engine Vendor

IBAN and SWIFT validation by algorithm

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Challengeable by: Vendor

Duplicate check (exact) Does this vendor already exist in the system? Rules Engine

Exact match on VAT ID and company name

Decision Record

Rule ID and version number
Input data that triggered the rule
Calculation result and applied formula

Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.

Duplicate check (fuzzy) Could a similar vendor already exist? AI Agent

Fuzzy match for name variants and address differences

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Risk assessment How high is this vendor's risk? AI Agent

Scoring by industry, country, company size and historical data

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Extract payment terms Which payment terms apply? AI Agent Vendor

LLM extraction from contract documents

Decision Record

Model version and confidence score
Input data and classification result
Decision rationale (explainability)
Audit trail with full traceability

Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.

Challengeable by: Vendor

Approval for elevated risk Is the vendor created despite elevated risk score? Human Auditor

Human judgement for risk score above threshold

Decision Record

Decider ID and role
Decision rationale
Timestamp and context

Challengeable: Yes - via manager, works council, or formal objection process.

Challengeable by: Auditor

Decision Record and Right to Challenge

Every decision this agent makes or prepares is documented in a complete decision record. Affected parties (employees, suppliers, auditors) can review, understand, and challenge every individual decision.

Which rule in which version was applied?
What data was the decision based on?
Who (human, rules engine, or AI) decided - and why?
How can the affected person file an objection?
How the Decision Layer enforces this architecturally →

Does this agent fit your process?

We analyse your specific finance process and show how this agent fits into your system landscape. 30 minutes, no preparation needed.

Analyse your process

Governance Notes

GoBD-compliant §203 StGB-compliant

GoBD relevance: medium - vendor master data is the basis for all postings. Incorrect master data leads to incorrect payments. Sanctions list compliance is legally mandated (EU regulations). VAT ID validation via EU VIES is a prerequisite for input tax deduction on intra-community deliveries. Paragraph 203 StGB relevant when the vendor is a professional secrecy holder (e.g. law firm as vendor).

§203 StGB-relevant data is encrypted end-to-end and never passed to AI models in plain text.

Process Documentation Contribution

The Vendor Onboarding Agent documents: all compliance checks (sanctions lists with timestamp, VAT ID validation), the risk assessment with scoring rationale, the duplicate check and the final creation decision. During audits, it is traceable that every vendor was properly screened.

Assessment

Agent Readiness 75-82%
Governance Complexity 31-38%
Economic Impact 64-71%
Lighthouse Effect 28-35%
Implementation Complexity 34-41%
Transaction Volume Weekly

Prerequisites

  • ERP system with vendor master data management
  • Access to EU VIES for VAT ID validation
  • Access to sanctions list service (EU, OFAC, UN)
  • Defined risk thresholds per industry and country

Infrastructure Contribution

The Vendor Onboarding Agent builds the vendor compliance infrastructure. The sanctions list check is reused for periodic re-screening. The VAT ID validation is used by the Invoice Capture Agent and Account Coding Agent. The risk assessment feeds into the credit limit monitoring of the Receivables Management Agent.

What this assessment contains: 9 slides for your leadership team

Personalised with your numbers. Generated in 2 minutes directly in your browser. No upload, no login.

  1. 1

    Title slide - Process name, decision points, automation potential

  2. 2

    Executive summary - FTE freed, cost per transaction before/after, break-even date, cost of waiting

  3. 3

    Current state - Transaction volume, error costs, growth scenario with FTE comparison

  4. 4

    Solution architecture - Human - rules engine - AI agent with specific decision points

  5. 5

    Governance - EU AI Act, GoBD/statutory, audit trail - with traffic light status

  6. 6

    Risk analysis - 5 risks with likelihood, impact and mitigation

  7. 7

    Roadmap - 3-phase plan with concrete calendar dates and Go/No-Go

  8. 8

    Business case - 3-scenario comparison (do nothing/hire/automate) plus 3×3 sensitivity matrix

  9. 9

    Discussion proposal - Concrete next steps with timeline and responsibilities

Includes: 3-scenario comparison

Do nothing vs. new hire vs. automation - with your salary level, your error rate and your growth plan. The one slide your CFO wants to see first.

Show calculation methodology

Hourly rate: Annual salary (your input) × 1.3 employer burden ÷ 1,720 annual work hours

Savings: Transactions × 12 × automation rate × minutes/transaction × hourly rate × economic factor

Quality ROI: Error reduction × transactions × 12 × EUR 260/error (APQC Open Standards Benchmarking)

FTE: Saved hours ÷ 1,720 annual work hours

Break-Even: Benchmark investment ÷ monthly combined savings (efficiency + quality)

New hire: Annual salary × 1.3 + EUR 12,000 recruiting per FTE

All data stays in your browser. Nothing is transmitted to any server.

Vendor Onboarding Agent

Initial assessment for your leadership team

A thorough initial assessment in 2 minutes - with your numbers, your risk profile and industry benchmarks. No vendor logo, no sales pitch.

30K120K
1%15%

All data stays in your browser. Nothing is transmitted.

Frequently Asked Questions

How often are sanctions lists checked?

At onboarding and periodically thereafter - frequency is configurable. EU sanctions lists are checked at every update. The agent documents every check with timestamp, so compliance is provable at any time.

What happens with a sanctions list hit?

The vendor is not created. The case is documented and escalated to the compliance department. No automatic override possible - sanctions list hits are not a discretionary decision.

How are duplicates prevented?

Two-stage: first exact match on VAT ID and company name, then fuzzy AI match for name variants. On duplicate suspicion, the existing master record is displayed and a manual decision requested. This prevents both duplicates and incorrect merges.

What Happens Next?

1

30 minutes

Initial call

We analyse your process and identify the optimal starting point.

2

1 week

Discover

Mapping your decision logic. Rule sets documented, Decision Layer designed.

3

3-4 weeks

Build

Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.

4

12-18 months

Self-sufficient

Full access to source code, prompts and rule versions. No vendor lock-in.

Implement This Agent?

We assess your finance process landscape and show how this agent fits your infrastructure.