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Business verification (KYB)

One KYB solution to automate business onboarding and orchestrate verification.

User verification (KYC)

One KYC solution to automate user onboarding and orchestrate verification.

OVERVIEW

All-in-one KYC/B

Explore how our platform automates KYB and KYC processes for faster and more reliable compliance checks.

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Streamline onboarding with automated steps for faster validation and a seamless experience.

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Orchestrate verification workflows in one place for faster client onboarding.

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Assess risk factors effortlessly with our streamlined solution to meet AML requirements.

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Solutions

KYB VERIFICATION

KYB verification software that automates business onboarding

A strong KYB verification program lets you onboard businesses quickly while staying compliant with AML rules. With Ondorse, you do not just check documents — you automate the process: policy as code in a no-code builder, auto-approve clean cases, auto-escalate on risk, and orchestrate registries and data vendors with fallbacks and SLAs. The result is faster decisions, fewer false positives, and an audit-ready trail by default.

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What KYB verification covers today

  • In production, corporate KYC is more than a document upload. It blends public records, commercial data, ownership tracing, and screening to prove a company exists, operates legally, and is not linked to prohibited parties. In Ondorse, each block is automatable with rules, events, and webhooks.

  • At a glance, here are the core components teams standardize before shortlisting tools:

  • Company registry matching for legal name, status, registration number, and formation details.

  • Address and activity checks to validate the registered office and stated business lines.

  • UBO and control mapping to identify direct and indirect owners and controllers above policy thresholds.

  • Sanctions, PEP, and adverse media screening for the entity, its UBOs, and key managers.

  • Document collection for certificates, articles, board resolutions, and proofs requested by policy.

  • Risk assessment that translates signals into CDD or EDD paths.

  • Case management to capture evidence, maker-checker approvals, and decision rationales.

Illustration Are manual re-collection of data and documentation slowing you down
Illustration Are manual re-collection of data and documentation slowing you down

Automation first: from policy to execution

  • Express KYB policy as rules and tasks, then let the workflows engine execute. Compliance authors rules in a no-code builder, product publishes, and the runtime enforces. Every decision stores inputs, reason codes, and outcomes so you can explain what happened and why.

  • Below are the main automation patterns that reduce manual work without weakening controls:

  • Auto-approve when registry, screening, and data consistency are clean.

  • Auto-escalate to CDD/EDD on anomalies: request extra documents, add media topics, or route to an investigation queue.

  • Auto-orchestrate registry and data vendors by country and company type, with fallbacks, SLAs, and A/B strategies.

  • Auto-recheck on events: new sanctions hits, ownership updates, filings, or profile changes.

How a KYB flow works end to end

From application to decision

  • A business onboarding journey adapts to risk and jurisdiction. Low-risk entities move quickly through automated checks; higher-risk profiles escalate to enhanced diligence. The orchestration layer chooses sources and steps in real time, not in quarterly projects.

  • A business starts on web or via API. Core entity data is captured, registries are queried to confirm existence and status, and ownership is traced through layers until beneficial ownership thresholds are met. The platform screens the company, UBOs, and officers. A risk engine scores the profile and routes it to approval, more evidence, or investigation. Each step emits events, reason codes, and evidence links so product, risk, and audit share the same timeline.

  • Example: a Delaware LLC controlled by a foreign holding has no public BO register match. Registry confirms status, commercial data suggests small staff, and invoices show activity consistent with policy. Ownership tracing finds a 30% indirect stake by a natural person. Screening returns a near match with low confidence which triage auto-closes. The case records the entity chain, calculation steps, and documents, making later audit straightforward.

Data that makes or breaks KYB

  • Not all sources are equal. Favor high-fidelity registries, normalized fields, and consistent schemas so decisions stay explainable and portable across markets.

  • Use the following source types as your baseline and document coverage per country:

  • Official registries for legal name, number, status, directors, and filings.

  • BO registers and disclosures where available to accelerate UBO discovery.

  • Commercial datasets for industry codes, size proxies, and credit signals.

  • Document uploads such as certificates of incorporation, articles, and board resolutions.

  • Sanctions, PEP, and adverse media feeds for the entity and related persons.

Ownership and control: getting UBOs right

Finding real owners behind the entity

  • Ownership rarely stops at the first layer. Accurate UBO verification needs data plus logic that handle chains, loops, and multiple control mechanisms. In Ondorse, graph traversal and thresholds are enforced by rules, not spreadsheets.

  • Trace direct and indirect shareholders, compute cumulative percentages, and account for control via agreements or positions. Where registers exist, reconcile them with your calculated structure. Screen each UBO and controller like a retail KYC subject and link the evidence to the case.

Screening that reduces noise

Entity and person screening best practices

  • Screening quality drives manual workload. Strong matching and relevance logic prevent teams from drowning in false positives.

  • Use tuned name matching with transliteration, add country and date filters, and record explainable matches. For media, focus on topics like fraud, corruption, and financial crime. Maintain allowlists and suppression rules with clear expiry so noise does not become permanent.

Documents without dead ends

Evidence that accelerates approvals

  • Documents confirm facts that data cannot. Ask for the right items and make capture painless. Automation should request only what is needed for that path.

  • Request a short, predictable set of proofs: certificate of incorporation, registry extract, articles, and a board resolution where signatory authority is needed. For proof of
    address, accept bank statements or utility bills that meet policy. Use guided capture and localized instructions to lift first-try success.

Designing risk-based KYB paths

Light, standard, and enhanced routes

  • Spend effort where it pays back and remove friction where it does not. A clear segmentation model keeps decisions consistent across geographies and products; the engine enforces the triggers and SLAs.

  • Choose the route by risk score, country, sector, and ownership complexity; then let orchestration enforce it automatically:

  • Light: registry match, basic directors, and watchlist checks for low-risk jurisdictions and simple structures.

  • Standard: add UBO tracing, document proofs, and targeted media for moderate risk.

  • Enhanced: deeper ownership mapping across layers, expanded documents, and manual review for high-risk sectors or geographies.

Where KYB fits in your stack

  • KYB verification sits between product flows and back-office tools. The goal is to reduce blind spots, not create new silos. Events and webhooks keep services in sync.

  • These adjacent capabilities complete the loop from onboarding to monitoring:

  • KYC workflow for persons related to the business, including UBOs and directors.

  • KYC orchestration to route by country, sector, or backlog and to define fallbacks.

  • Customer risk assessment that merges entity and person signals into one score.

  • AML case management for investigations, maker-checker, and SAR preparation.

  • Data warehouse and BI to analyze pass rates, escalations, and time to decision by segment.

Analytics and ROI for business onboarding

  • Track both conversion and automation outcomes. Align weekly with product, risk, and operations using a durable KPI set.

  • Start with these metrics and segment them by country, company type, and path:

  • Acceptance rate for legitimate entities by country and company type.

  • False positive rate in screening for entities and UBOs.

  • Time to decision from application to approval or escalation.

  • Document retry rate and first-try success for uploads.

  • Cost per approved business including vendor spend and analyst hours.

  • Automation rate and auto-resolution time vs human time.

Implementation checklist

  • Start with one segment, prove impact, then scale across markets. Keep changes versioned with rationales and outcomes for auditability.

  • Use this checklist to shorten time to value and control risk creep:

  • Define risk segments and required checks, including evidence to store for each decision.

  • Map data sources per country and build a normalization layer for registry fields.

  • Model ownership logic to compute indirect stakes and control, not only direct shareholding.

  • Integrate screening for the entity, UBOs, and officers with clear reason codes.

  • Set timeouts, retries, and fallback behavior in your orchestration layer.

  • Instrument events and webhooks so product, risk, and data share the same timeline.

  • Run a small cohort test, compare pass rate, latency, workload, and automation rate.

  • Maintain an immutable change log with versioned rules and approvals.

Reducing friction for legitimate businesses

  • Good diligence can feel simple for honest applicants. Minimize asks, pre-fill what you can, and keep expectations clear.

  • Apply the following UX tactics to lift completion without weakening controls:

  • Pre-fill company data from registries after the legal number is entered.

  • Offer document alternatives by country to avoid dead ends.

  • Explain next steps and typical review times when a case moves to manual investigation.

  • Localize instructions and error messages for each market.

Governance, privacy, and auditability

  • Governance matters as much as checks. Express rules as policy as code with versioning and approvals, keep data lineage, and store consent records explicitly. Least-privilege access and short retention are enforced, not optional.

  • These safeguards should be enabled by default in any KYB platform:

  • Encryption in transit and at rest with managed key rotation.

  • Data minimization and short retention windows with clear deletion flows.

  • Role-based access control and SSO for least-privilege access to evidence.

  • Regional data residency where regulation or contract requires it.

  • Immutable audit trails recording who did what, when, and why.

Industry patterns

Ingredients are similar across sectors, but thresholds and triggers differ. Automation lets you adapt depth by country, sector, and risk without bloating the journey.

Fintech, banks, and payments

Fast account opening with reliable checks. Light path for low-risk markets and simple structures, standard path with UBO tracing and targeted media, and enhanced path with deeper documents and manual review for higher-risk sectors. Decisions remain explainable and audit-ready.

B2B marketplaces and SaaS

Verify suppliers and buyers, protect payouts, and keep trust high. Rules adapt to ticket size, geography, and product category. Automated registry matching and smart document capture keep completion rates healthy.

Next steps

If you are building KYB verification, start by mapping segments and data sources per country. Choose a platform that supports registry normalization, accurate UBO discovery, explainable screening, and native handover to AML case management. With Ondorse, these capabilities ship as no-code automation, portable integrations, and evidence-first decisioning so teams can scale without adding headcount.

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Buyer FAQs

Teams often ask how deep to go on ownership, how to keep conversion high, or how to handle thin registries. Here are concise answers:

How deep should UBO tracing go

Follow regulation and policy thresholds, then continue until natural persons or public companies are reached. Document gaps and justify exceptions where registers are incomplete. Always screen identified UBOs and controllers.

Can we keep conversion high with stronger checks

Yes. Use risk-based routes. Ask for more only when signals justify it, pre-fill from registries, and provide guided capture. Many teams raise acceptance and cut noise at the same time.

What if the local registry is thin or outdated

Combine official records with commercial datasets and document proofs. Record evidence sources and confidence notes. Escalate to EDD when signals remain ambiguous.

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