Structure the application
Separate legal name, trading name, country, registration number, tax ID and address into typed inputs.
AGENTIC KYB & ONBOARDING
Agentic KYB: company verification for AI workflows.
Build agentic KYB workflows around resolved company identities. Check VAT and EIN associations, route exceptions and pass evidence to the next onboarding step.
START WITHApplicant details + jurisdiction + identifiersREVIEWResolved company + next-check context
Design the agent around evidence and policy.Define the agent host, tool scope, countries, evidence fields, exceptions and permitted actions.
Reviewed
THE PRACTICAL ANSWER
What is agentic KYB company verification?
Agentic KYB uses an AI agent to coordinate business-verification tasks under an organisation's rules. VATFind supplies the company-resolution step: search a legal name or submitted tax identifier, establish the relevant entity and return company evidence. The agent can then request the next check or missing input. Keep the tool result separate from the application's approval decision and record why the workflow took its next action.
- An AI agent collects and reviews business onboarding information.
- The workflow must decide which ownership or screening record to retrieve next.
- Operations teams want straight-through processing with explicit exception queues.
THE WORKFLOW
Add company evidence to an agentic KYB workflow
Resolve the applicant
Use jurisdiction and multiple identifiers to select the registered legal entity or expose ambiguity.
Build the agent context
Return resolved fields, source provenance and discrepancies as machine-readable evidence.
Orchestrate the next checks
Continue to ownership, sanctions, document or human review only after the entity outcome is explicit.
WHAT VATFIND DOES
VATFind verifies the applicant’s company and tax-identifier association.
The KYB agent submits the applicant’s legal name, jurisdiction, registration number and VAT number or EIN. VATFind identifies the company record, reconciles the submitted identifiers and returns match, discrepancy, ambiguity or no-match states before ownership, sanctions and other checks begin.
Evidence meaning: a verified association means the submitted VAT number or EIN is linked to the returned company record. It is not, by itself, confirmation of current tax-registration status, tax compliance or approval of the wider transaction.
For API checks, use vat_number outside the US and tax_identifier for US EINs. Optional fields can be absent when a source does not provide them.
- 01Resolved applicant
- Canonical legal name, jurisdiction and registration number for subsequent checks.
- 02Identifier reconciliation
- Agreement or conflict between submitted VAT, EIN, registration number and the returned record.
- 03Application discrepancies
- Name, address, status or jurisdiction differences for agent policy rules.
- 04Evidence payload
- Source, retrieval time and relevant company attributes kept with the case.
- 05Next-step state
- Proceed, request information, route to review or stop, according to the customer’s policy.
CHOOSE THE RIGHT APPROACH
Assign each stage to the right part of the workflow
Agent
Collect missing inputs, call permitted tools and explain which question the next check will answer.
Company-data tool
Return the company association, available attributes and source context for the supplied jurisdiction and input.
Decision policy
Determine the next action from all required evidence. Escalate ambiguity and preserve the review history.
CONTROL OWNERSHIP
Give each team one clear responsibility.
A reliable workflow names who owns the input, who interprets the company evidence and who makes the wider decision. That separation prevents a data result from becoming an unexplained approval.
KYB product owner
Define the evidence graph, orchestration and human-review boundaries.
Compliance policy
Specify required checks, decision rules and prohibited agent actions.
Agent engineering
Implement typed tools, scoped permissions, retries and auditable state.
DECISION DESIGN
Define the evidence and action at each stage.
| Stage | Evidence to retain | Controlled action |
|---|---|---|
| Resolve applicant | Submitted company data and source-labelled entity result. | Create the legal-company case before launching dependent tools. |
| Orchestrate evidence | Identity, ownership, screening and other independent tool results. | Run the next check according to policy; do not infer one result from another. |
| Decide or escalate | Complete evidence set, missing facts, exceptions and policy version. | Recommend or execute only the action authorised for that confidence and risk tier. |
EXAMPLE WORKFLOW
The KYB agent receives two plausible company candidates
An applicant provides a legal name and country but no registration number. The search produces two plausible companies. The agent asks for the missing identifier rather than choosing whichever record is returned first. Once the entity is resolved, it stores the selected company with the application and proceeds to the independently configured checks. If the next data source describes a different entity, the workflow reopens identity resolution instead of combining the records.
Connect the company-data toolsIMPLEMENTATION CHECKLIST
Agentic KYB checklist
- Give every tool a narrow purpose, typed input and explicit result states.
- Bind the agent to one applicant and jurisdiction throughout the case.
- Require human approval for beneficial-owner conflicts and consequential exceptions.
- Record tool order, retries, evidence timestamps and the policy version applied.
- Test source outages, partial records and contradictory evidence before production use.
WHAT TO MEASURE
Prove the control is useful.
Track operating quality rather than claiming that a company match guarantees the downstream outcome.
- Cases completed with all policy-required evidence
- Human review reserved for material exceptions
- Agent decisions reproducible from logs and policy
READ THE RESULT CORRECTLY
An agent can orchestrate KYB without collapsing it into one check.
Company identity resolution does not replace ownership verification, sanctions and PEP screening, document authenticity, authority-to-act checks, bank verification or the organisation’s risk decision.
Review data and limitationsFREQUENTLY ASKED QUESTIONS
Agentic KYB questions
What can the agent automate safely?
It can structure inputs, resolve clear company matches, retrieve evidence and route predefined exceptions. Approval authority should remain bounded by the organisation’s policy and risk appetite.
What happens when two companies are plausible?
Return an ambiguous state with the candidates and differentiating fields. The agent should request stronger identifiers or route the case instead of guessing.
Can this support straight-through onboarding?
Yes for cases that meet explicit match, evidence and policy thresholds. Exceptions should remain visible and reviewable.
How is the evidence retained?
Keep the submitted inputs, selected company, returned fields, source, retrieval time and agent decision state together in the case record.
What is the difference between agentic KYB and a fixed onboarding workflow?
A fixed workflow follows predefined steps. An agent can select the next permitted information-gathering step from the case context. Both need explicit evidence requirements and rules for decisions, retries and exceptions.
How should agentic KYB be evaluated before deployment?
Use cases with similar names, missing identifiers, conflicting documents, source errors and valid matches. Measure correct entity selection, unnecessary reviews and unsupported actions. The agent should not improve completion rates by silently lowering the evidence threshold.