COMPANYPROOF / BUSINESS VERIFICATION USE CASES

Business verification. Where decisions happen.

Give procurement, compliance, risk and AI teams company facts they can inspect and use. Resolve the business, check supported claims and carry the evidence into the next decision.

Registry evidence REST API & MCP Claim monitoring
FIND YOUR WORKFLOW06 teams / one evidence layer
Procurement

Who is on the contract?

Resolve the supplier, inspect available company records and preserve the evidence used in your approval.

TAKE INTO YOUR WORKFLOWA supplier file your reviewers can inspect
Explore this use case
Where responsibility sits
Company evidence
CompanyProof returns available records, supported verdicts and source context.
Review policy
Your team defines the required checks and how to handle missing or conflicting evidence.
Business action
Your application and authorised reviewers decide whether to approve, correct or escalate.
The evidence can be shared. Each team retains its own decision policy.

THE BUSINESS QUESTION

One company identity. Several business decisions.

Business verification establishes which legal entity a team is dealing with and checks relevant company information against available records. Its value depends on where those facts are used: a supplier approval, onboarding review, credit assessment or published research answer each needs different supporting evidence.

CompanyProof connects company lookup, supported claim verification, profile data and evidence retention. Teams can use the website for a company-text review, REST for a software integration or MCP for compatible AI clients.

The common requirement is traceability. When a fact changes or an assertion is disputed, your team should be able to find the company, original statement, source record and verification time without rebuilding the investigation.

FIND YOUR WORKFLOW

Choose the workflow your team owns.

Start with the decision and work back to the company evidence it needs. These six use cases show where verification fits into enterprise operations.

01PROCUREMENT

Verify suppliers before onboarding.

Compare the company details in a supplier questionnaire, contract or invoice with available records. Keep the contracting entity consistent across supplier creation, approval and subsequent review.

Put it to work

Use identity checks first, then add available ownership and financial records for the review your procurement policy requires.

  • Resolve trading names and legal entities.
  • Investigate inconsistent registration or tax details.
  • Retain the evidence behind the supplier review.
Explore supplier due diligence
02COMPLIANCE & KYB

Make company checks reviewable.

A Know Your Business process needs a clear account of which business was reviewed and what the available evidence established. Separate the factual company checks from the wider compliance decision.

Put it to work

Connect the selected company and returned records to your KYB case. Use the available evidence to support your own screening, ownership review and approval process.

  • Preserve source context with each company assertion.
  • Distinguish a missing field from a conflicting value.
  • Keep analyst decisions and exceptions linked.
See a KYB implementation workflow
03CREDIT & UNDERWRITING

Keep financial context with the number.

An applicant summary may combine company identity, revenue, ownership and a recommendation. Resolve the applicant first, then examine the entity and reporting context behind the figures used in underwriting.

Put it to work

Use supported identity verification alongside available financial and group records. Keep filed data separate from forecasts and the decision engine’s own assessment.

  • Match the contracting or borrowing entity.
  • Preserve reporting year, currency and scope.
  • Revisit eligible company facts when evidence changes.
Explore the credit-risk workflow
04RESEARCH & INTELLIGENCE

Make company research reproducible.

Analysts need to show why a company statement was included in a report. A useful research record preserves the source context and distinguishes facts from interpretations and unresolved questions.

Put it to work

Check the material company assertions before delivery, retain available evidence and keep the answer connected to its verification time.

  • Investigate similarly named companies.
  • Preserve citations and reporting periods.
  • Track changes to eligible published facts.
See the research workflow
05AI PRODUCTS & AGENTS

Check the answer your model produces.

An AI assistant can retrieve a company record and still combine facts incorrectly. Review the assertions that reach a user, especially where they affect onboarding, supplier reviews or other operational decisions.

Put it to work

Provide company context through REST or MCP, then use the appropriate verification or research workflow to inspect the resulting company claims.

  • Check the entity before checking the answer.
  • Show corrections and unresolved claims explicitly.
  • Connect the evidence record to your application.
Explore AI company fact checking
06COMPANY-DATA PRODUCTS

Embed evidence in your own product.

A software team can use company search, profiles and supported verification without maintaining a separate integration for every registry. The product still needs to preserve field availability and source context.

Put it to work

Choose the interface for the record or claim your feature needs. Agree commercial rights for customer-facing data delivery, retention and any additional use.

  • Use one entity identifier across modules.
  • Handle empty, unavailable and restricted sections.
  • Define monitoring and redistribution requirements.
Explore the company data API

CONNECT THE STEPS

A shared process, adapted to your decision.

Keep the company evidence consistent while each team applies its own review policy. The same source-backed fact can support several workflows without becoming an automatic approval.

  1. 01

    Identify

    Resolve the legal business in the right jurisdiction. Use a registration number when available and clarify ambiguous candidates.

    OUTPUTThe selected legal entity
  2. 02

    Investigate

    Compare supported assertions and request the company records that matter to the workflow, preserving their scope and availability.

    OUTPUTFacts, corrections and open questions
  3. 03

    Apply your policy

    Route exceptions, perform any additional checks and record the reviewer or system decision in the application that owns it.

    OUTPUTA reasoned operational decision
  4. 04

    Keep the evidence

    Retain the proof reference and source context. Monitor eligible claims and set a review schedule for facts that remain material.

    OUTPUTAn ongoing review trail

FIT YOUR EXISTING SYSTEM

Use the interface that matches the work.

An analyst reviewing a supplier paragraph has a different starting point from a platform checking thousands of structured assertions. The website supports pasted company text and clarification of missing identity details. REST supports company search, profiles and documented claim-verification requests.

MCP exposes documented tools to compatible AI clients. It gives an agent a way to obtain company information and call supported workflows through the customer’s authorised access. Your application remains responsible for what it does with the results and which destinations can receive them.

Keep the same evidence standard across these entry points: the correct company, the claim or requested record, source context, relevant dates and an explicit treatment of missing information. That makes a manual investigation useful when the workflow later becomes an integration.

ENTERPRISE PROCUREMENT

Evaluate the records, rights and operating cost.

Coverage should be assessed against the countries, company types and fields your product actually needs. A headline company count cannot tell you whether a particular market returns ownership relationships, recent financial statements or the source detail your reviewers require.

Build a sample around your material questions and the difficult cases that create operational work. Measure correct entity matches, useful field completion and the effort needed to resolve exceptions. Include the API usage, retries and monitoring required to complete a review when estimating cost.

Confirm the permitted use of output, retention and any customer-facing distribution before finalising the integration. Review the security, processing and support arrangements for the data categories and workflow you intend to run.

MAKE THE RESULT REVIEWABLE

Match the evidence to the decision.

A useful company-verification integration produces a record your team can act on. Define that record before choosing an endpoint or measuring success.

TeamMaterial company questionEvidence to retain
ProcurementIs this the supplier entity signing the contract, and do its stated details agree?Identity match, checked assertions, supplier exceptions and approval reference.
Compliance / KYBWhich company was reviewed, and what did the available records establish?Company identifiers, sources, returned relationships and analyst review notes.
Credit / underwritingDo the identity and financial figures refer to the same applicant and reporting scope?Selected entity, financial period, currency, scope and source context.
Enterprise researchCan another analyst reconstruct the company statements in this answer?Original assertions, relevant records, citations and verification time.
AI / software productsWhat should the application correct, show or escalate?Claim-level result, observed values, evidence references and next-step policy.
Company-intelligence platformsCan the returned data be used consistently across product features?Stable identifiers, module status, provenance and agreed use rights.
Official company information

Over a decade collecting and structuring official company information. Assess the source and available fields for the companies you actually use.

Explore countries & sources ↗

AN ENTERPRISE EVALUATION

Define success before the first request.

Use a single operational workflow for the evaluation. Agree the data requirements and review rules first, then compare the results with the work your team does today.

01

Company sample

Include your real jurisdictions, legal forms, duplicate names and difficult-to-resolve records.

02

Required evidence

Define the fields, relationships, financial periods and source context needed to complete the task.

03

Exception cost

Measure analyst time and unresolved cases alongside the number of successful responses.

04

Production fit

Assess integration effort, access controls, ongoing usage, data rights and monitoring requirements.

YOUR COUNTRIES. YOUR COMPANY FACTS.

Start with the decision you need to improve.

Tell us which companies you review, what facts matter and where the results will be used. We’ll help you scope the appropriate company-data and verification workflow.

Discuss your use case ↗Compare plans and usage

FREQUENTLY ASKED QUESTIONS

Business verification use cases: frequently asked questions

What are the main use cases for business verification?

Common uses include supplier onboarding, company checks within KYB, identity checks for underwriting, company research and factual review in AI products. The needed records and decision rules differ, but each workflow benefits from a resolved entity and clear source evidence.

Which enterprise teams use company verification?

Procurement, compliance, credit-risk, research and product teams can use company records and supported claim checks in their own workflows. CompanyProof’s use-case pages describe implementation patterns; they do not imply that a particular named customer has deployed them.

How does business verification support KYB?

It helps establish the legal company and compare relevant identity assertions with available records. A wider KYB process may also require ownership investigation, screening, verification of individuals and other controls. Your compliance requirements and decision policy determine that scope.

Can procurement teams verify international suppliers?

CompanyProof can provide company information across supported jurisdictions, with field and module availability varying by source. Evaluate the actual countries, legal forms and evidence your supplier review needs before assuming the same depth of coverage everywhere.

Can credit-risk teams use the financial data?

Available financial modules can support an assessment when the company, period, currency, units and reporting scope are retained. Identity verification does not by itself establish a credit limit, current solvency or the correctness of an underwriting recommendation.

Can AI agents use the same company information?

Yes, through supported REST workflows or a compatible MCP client using authorised account access. The agent’s application determines how evidence is displayed, when corrections are applied and which unresolved questions require review.

Should we use the website, REST API or MCP?

Use the website for a company-text review, REST for a structured software integration and MCP for documented tools in a compatible AI client. The appropriate choice depends on how the workflow starts and where its results need to be used.

What happens when a company claim cannot be verified?

Keep the reason and any available source information visible. An ambiguous identity, absent field, unavailable source and contradictory value are different situations. Route them through the review policy you have defined for the workflow.

Can we retain company evidence or show data to our customers?

Your service terms and agreed data licence define retention and permitted use. Customer-facing delivery, resale, white-labelling and model-training requirements should be agreed explicitly. Describe those uses during procurement so the appropriate rights are included.

How should an enterprise evaluate CompanyProof?

Select one material workflow and a representative company sample. Assess correct identity matches, required-field coverage, evidence quality, exception workload and operating cost. Include security, supplier processing, support and data rights in the commercial review.