AI AGENT COMPANY GROUNDING

Ground AI-agent company answers.
Ground the answer before action.

Give AI agents registry-backed company identities, tax identifiers and source context before they answer questions or take action.

START WITHCompany mention, name or identifierREVIEWResolved entity + evidence context
Design the agent around evidence and policy.Define the agent host, tool scope, countries, evidence fields, exceptions and permitted actions.
Discuss an agent workflow Explore MCP

WHEN TO USE IT

Stop an AI agent from treating a brand, trading name and legal company as if they were the same entity.

Give the agent a structured entity result, provenance and explicit exception state. Keep the evidence it relied upon beside the answer or action.

  • An agent answers questions about a company, supplier, customer or merchant.
  • A model must cite the legal entity and identifiers behind a generated answer.
  • An agent is allowed to trigger onboarding, payment, risk or data actions.

THE WORKFLOW

Four steps. One clear result boundary.

MCP for AI agents
01

Detect the company claim

Extract the company name, jurisdiction, identifier and the specific fact the agent needs to establish.

02

Resolve the legal entity

Match the input to the most likely registry-backed company record before retrieving additional attributes.

03

Return structured evidence

Supply identifiers, status, address, source and retrieval time as fields the agent can reason over.

04

Apply an action policy

Allow, block or route the next agent action according to confidence, missing data and business rules.

WHAT YOU CAN REVIEW

The record, not just the number.

Fields vary by country and company. VATFind labels absent information instead of inventing a result.

01Canonical legal entity
The registered company the agent should use in its answer and downstream calls.
02Company identifiers
Registration number and available VAT, EIN or tax identifier, labelled by jurisdiction.
03Registry-backed attributes
Address, legal form, incorporation details and source-reported status when available.
04Provenance
Source and retrieval time retained beside the generated claim.
05Resolution outcome
Matched, ambiguous, conflicting or no-match state for policy and human review.

READ THE RESULT CORRECTLY

Grounding supports an answer; it does not make every conclusion true.

The company record establishes entity identity and available source-backed attributes. The agent must keep unsupported conclusions separate and use additional controls for ownership, sanctions, bank accounts, tax-authority status or transaction risk.

Review data and limitations

COMMON QUESTIONS

Before you implement the workflow.

These answers define how the agent should use company evidence, handle ambiguity and stay inside policy.