Logo Ondorse
Download brand assets
Solutions

SOLUTIONS

Business verification (KYB)

User verification (KYC)

OVERVIEW

All-in-one KYC/B

PLATFORM

Client onboarding

Case management

AML risk scoring

INTEGRATIONS

App marketplace

Use cases

FOR WHOM

For Ops

For Compliance

For Sales & CSM

Clients
Corporate banking
Credit and financing
Asset management
Insurance and health
PSPs & acquiring
Embedded finance
Platforms and marketplaces
Corporate banking

Manager.One

Tiime

Banque Delubac

iBanFirst

Credit and financing

Hokodo

CGLLS

Finfrog

Mobilize FS

Asset management

French Food Capital

Elvest (Ex-Inter Invest)

Natixis Investment Managers International

Insurance and health

Alan

PSPs & acquiring

SSP

HiPay

PayXpert

Smile & Pay

Embedded finance

Embed

Xpollens

Lemonway

Platforms and marketplaces

Kactus

SeDomicilier.fr

Evaneos

INDUSTRY
Resources

KNOWLEDGE

Blog

Guides

News

PRODUCT

Documentation

Integrations

Product updates

DEVELOPERS

API reference

Recipes

Integration guide

TRUST

Security

Trust center

Live status

SERVICES

CX outsourcing

List tracker

Coverage map

New - CarelineLog In
Get started
Solutions

KYC Workflow

KYC workflow: design a compliant, scalable onboarding flow

A well designed KYC workflow turns policy into practical steps real customers can finish on the first try. The goal is simple: accept good users quickly, stop risky profiles early, and keep evidence that explains every decision. Modern teams do this with a risk-based verification process that adapts by country, product, and segment. Instead of hardcoding checks, you define rules, orchestrate vendors, and watch outcomes. This page lays out how to structure a production-ready customer due diligence flow, which components matter at scale, and how to balance conversion, fraud control, and regulatory compliance. With Ondorse, that blueprint is not theory but a way to run day to day.

Book a callWatch demo

What a KYC workflow covers today

  • A contemporary KYC process is more than document capture. It combines company profile enrichment, ID verification, liveness, sanctions and PEP screening, adverse media, risk scoring, and case management, with ongoing monitoring after day one. Before shortlisting tools or writing code, align on the core building blocks of the journey.

  • Here are the essentials you should expect in an enterprise-grade identity journey:

  • Document and biometric verification for passports, national IDs, and driving licenses, with selfie match and proof of address.

  • Sanctions, PEP, and adverse media screening with configurable thresholds and explainable matches.

  • Risk-based rules that route users to light, standard, or enhanced due diligence.

  • Orchestration to switch providers, define fallbacks, and run controlled A/B or shadow mode tests.

  • Case management for reviews, maker-checker, evidence capture, and full audit trails.

  • APIs and webhooks with stable contracts and predictable error semantics.

  • Analytics for pass rates, drop-offs, false positives, and cost per successful verification.

  • Ongoing monitoring to re-screen customers as risk changes over time.

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

How the KYC workflow works end to end

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

From first touch to decision

  • Under the hood, a digital onboarding flow adapts to signals. Low-risk profiles glide through lightweight checks. Higher-risk cases escalate to CDD or EDD with extra documents or manual review. Understanding the path from first touch to final decision helps teams design with intent.

  • A user starts on web or mobile. The flow requests only what is needed for that profile. If device, IP, and data consistency look clean, the system runs a light path with fast vendors. When velocity spikes, geolocation mismatches, or document anomalies appear, rules trigger stronger checks, targeted questions, or investigation queues. Each step emits events and keeps reason codes so product analytics and compliance see the same truth.

  • For example, a domestic applicant on a known device with a clear selfie match takes the light route and finishes in minutes. A foreign ID with a proof-of-address mismatch triggers the enhanced route, adds a targeted questionnaire, and hands off to review with evidence snapshots. If the first IDV provider times out, orchestration falls back to a second provider and keeps the lineage of both attempts.

Designing risk-based paths

Light, standard, and enhanced routes

  • The objective is to spend effort where it pays back and remove friction where it does not. A clear segmentation model keeps decisions consistent and defensible across markets and products.

  • Define a light path for low-risk cohorts with streamlined IDV and screening. Use a standard path with stronger liveness and proof of address when signals justify it. Reserve an enhanced route for high-risk countries or products, with extra documentation and manual review. Document triggers, required evidence, and expected service levels for each path so teams act consistently.

UX details that lift completion

  • Small details change outcomes. Clear instructions, fast feedback, and sensible retries reduce avoidable drop-offs without weakening controls.

  • Use these practical ideas to keep a strict journey usable:

  • Provide guided capture with tips for glare, blur, and framing to improve first-try success.

  • Offer document alternatives by country to avoid dead ends when a specific ID is not available.

  • Delay heavy steps. Run sanctions screening early but request extra documents only if signals escalate.

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

  • Localize instructions and error messages to reduce confusion and support tickets.

Policy to logic, without release cycles

Governance matters as much as checks. Express rules as policy-as-code with versioning, approvals, and maker-checker so updates ship without a deployment. Keep data lineage for all inputs and decisions, plus consent management that records how data can be used. This is where Ondorse focuses on control without slowing teams down.

Choosing vendors and tools

  • No single provider wins in every country or device profile. A flexible stack lets you combine strengths, keep leverage, and stay resilient during incidents.

  • When evaluating IDV and screening partners, look for:

  • Coverage and accuracy by document type, country, and device profile, with realistic samples.

  • Latency under real load, since seconds affect completion.

  • Explainability with reason codes, confidence outputs, and downloadable evidence.

  • Fallback behavior for timeouts or poor coverage, defined in your orchestration rules.

  • Security and privacy features such as encryption, short retention, and regional data residency.

Analytics and ROI for a KYC workflow

  • You cannot improve what you do not measure. Keep a small, durable set of metrics and review them weekly with product and compliance together.

  • These indicators tie operational changes to outcomes:

  • Acceptance rate of legitimate users by segment and market.

  • False positive rate in screening, plus average investigation time.

  • Cost per successful verification, including vendor spend and internal workload.

  • Time to decision for account opening and for escalations to EDD.

  • Drop-off rate by step with reason codes to target the real blockers.

Implementation checklist

  • A structured plan shortens time to value. Start with one segment, prove impact, then scale across countries and products.

  • Follow this sequence to move from pilot to production without surprises:

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

  • Model rules in plain language and translate them into executable conditions in your orchestration layer.

  • Integrate the first vendor per check type and set clear timeouts and fallbacks.

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

  • Use A/B or shadow mode on a small cohort and compare strategies before rolling out.

  • Roll out gradually by market or product and keep a change log for regulators.

Security and privacy by design

  • Identity data is sensitive. Your KYC workflow must protect it by default and by design, from collection to deletion.

  • Apply these principles to reduce risk and simplify audits:

  • Encryption in transit and at rest with modern ciphers and key rotation.

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

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

  • Regional data residency where required by regulation or contracts.

  • Server-side calls for high-risk actions and separation of secrets.

Typical industry patterns

Fintech and banks

  • The building blocks are similar across sectors, but thresholds and triggers change. The examples below show how a customer verification flow adapts without bloating the journey.

  • Fast account opening with strong controls. Light path for low-risk markets, standard path with stronger liveness and screening, and enhanced path with proof of address and manual review when signals justify it. Results remain explainable and audit-ready.

Crypto and digital assets

Higher inherent risk and frequent policy shifts make multi-vendor routing and regular re-screening valuable. Decision logs support regulators and banking partners without slowing legitimate users.

Marketplaces and payments

Verify buyers and sellers, reduce chargebacks, and protect trust. Business onboarding adds KYB verification and UBO checks. Rules adapt to ticket size, geography, and product category.

Notes on authorship and review

Updated October 2025: reviewed by a compliance lead and aligned with public guidance from FATF and European supervisory bodies.

Next steps

If you are designing a KYC workflow, start by mapping segments and required checks. Choose a platform that supports risk-based orchestration, clear reason codes, and native handover to AML case management. Ondorse approaches these needs with policy-as-code, portable vendor integrations, and evidence-first decisioning so teams can scale without losing control.

Explore what modern ops teams have built with Ondorse

From banks to insurance and payment companies, meet our customers

Read all stories

Logo Company

our solution:

End-to-end partner KYB

Automated decisions

Continuous monitoring

Read case study

Logo Company

our solution:

Instant KYB at creation

Frictionless entrepreneur journey

Continuous monitoring

Read case study

Logo Company

our solution:

End-to-end KYB

Compliance scales with product

Continuous monitoring

Read case study

Logo Company

our solution:

Modular KYB layer

Faster client launches

Single ops tool across programs

Read case study

Logo Company

our solution:

Invisible seller KYB

Days-fast marketplace launch

Continuous monitoring

Read case study

Logo Company

our solution:

End-to-end KYB automation

Fewer manual reviews

Continuous monitoring

Read case study

Logo Company

our solution:

Faster merchant onboarding

Higher fraud standards

Continuous monitoring

Read case study

Logo Company

our solution:

One platform for LP and portfolio

Smooth LP onboarding

Audit-ready trail

Read case study

Logo Company

our solution:

Days, not weeks to close

Unified compliance view

Continuous monitoring

Read case study

Logo Company

our solution:

Institutional KYB industrialised

UBO chains auto-mapped

Continuous AML monitoring

Read case study

Logo Company

our solution:

Checkout-time KYB

Higher acceptance rates

Continuous monitoring

Read case study

Logo Company

our solution:

Standardised due diligence

One-click audit trail

Faster guarantee decisions

Read case study

Logo Company

our solution:

Instant borrower decisions

Zero compliance compromise

Weeks-fast deployment

Read case study

Logo Company

our solution:

Days to hours on onboarding

Pan-European consistency

Continuous monitoring

Read case study

Logo Company

our solution:

7-minute account opening

85% straight-through KYB

Continuous monitoring

Read case study

Logo Company

our solution:

80%+ auto-decisions at signup

Minutes-to-activation

Compliance team stays lean

Read case study

Logo Company

our solution:

Onboarding cut by 60%

Full audit trail across segments

Automated periodic refresh

Read case study

Logo Company

our solution:

1 single source of truth

3x productivity gains

Continuous monitoring on 10+ events

Read case study

Logo Company

our solution:

1 single source of truth

3x productivity gains

Periodic refresh on auto-pilot

Read case study

"Ondorse enabled us to automate the entire customer lifecycle, while operating at scale."

Arthur de Longeaux

COO @ PayXpert

Logo Company

our solution:

17k business scanned with minimal data points

30 data points identifying compliance gaps and risk markers

Completed under 2 weeks

Read case study

"Ondorse is a no-brainer when it comes to compliance policy"

Hadjer Bouzid

Senior Compliance Manager @ Smile & Pay

Logo Company

our solution:

Upload and scan the entire existing database in a few hours

20 data points identifying compliance gaps and risk markers

Automatic monitoring of 10+ data points

Read case study

"Thanks to Ondorse we were able to scan all our client base in just two days - which revealed our updated risks and helped us get compliant"

Florence Rivat

Head of Legal @ Evaneos

Logo Company

our solution:

80% of business accounts automatically opened

Cut average “time-to-decision” to 4 hours

95% reduction of manual reviews in ongoing due diligence compared to peers

Read case study

"Thanks to Ondorse, we are able to provide a delightful experience to our clients"

Margaux Dereux

Ops @ Alan

Ready to take the manual work out of KYC/B?

Unlock the power of automation
Easy setup that takes just a few days
Friendly human support based in Europe
Contact us

Frequently asked questions

Teams often compare a full KYC workflow with a simple step-by-step form, or ask how to keep completion high while strengthening controls. The answers below address the most common
points.

What is the difference between a KYC workflow and IDV only

IDV verifies documents and faces. A complete onboarding workflow adds screening, risk rules, case management, orchestration, and ongoing monitoring, with evidence and explainability for every decision.

Can we raise acceptance without raising fraud

Yes. Segment risk, ask for more only when signals justify it, and measure impact by cohort. Many teams gain acceptance and cut noise at the same time.

How long does implementation take

Teams often start in weeks by focusing on one segment and one market, then expand. Strong APIs, webhooks, and a clean event model reduce engineering time.

KYC workflow guide

Design a KYC workflow that adapts to risk, not guesswork

Map every check, decision, exception and handoff from first contact to ongoing monitoring. A clear KYC workflow helps legitimate customers complete onboarding quickly while giving review teams the evidence behind each outcome.

Map your workflow →See every step

Looking for the product? Explore the visual KYC workflow builder.

customer-onboarding · active flow
1
Collect customer data
PROFILE · CONSENT · EVIDENCE
INPUT
2
Verify identity or business
KYC · KYB · OWNERSHIP
CHECK
3
Screen and assess risk
AML · SIGNALS · SCORE
DECIDE
LOWER RISK
Approve and monitor
REVIEW REQUIRED
Request evidence and assign
4
Keep the customer file current
EVENTS · RE-SCREENING · REVIEW
ONGOING
Definition

What is a KYC workflow?

A KYC workflow is the ordered set of data requests, verification checks, risk rules, decisions and review actions used to identify a customer and determine whether the relationship can begin or continue.

The workflow specifies what happens, when it happens and what evidence must be retained. It also defines the exceptions: missing data, inconsistent documents, possible screening matches, elevated risk and later changes to the customer profile.

A workflow is the process itself. Workflow builder software provides the interface used to configure it, while KYC orchestration coordinates execution across providers.

End-to-end KYC process

The seven stages of a production KYC workflow

Each stage should have a clear input, an expected output and a defined response when the result is incomplete or ambiguous.

Step
Purpose
Expected output
Exception path
1
Collect customer data

Capture identity, contact, product and consent information.

A complete, structured application.

Request only the missing or invalid field.

2
Verify identity or company

Check documents, identity data, registries and ownership.

Verified attributes with evidence and confidence.

Retry, use an alternative source or send to review.

3
Screen relevant parties

Evaluate sanctions, PEP and adverse-media signals.

Resolved results or reviewable potential matches.

Pause the decision and assign the alert.

4
Assess customer risk

Combine profile, product, geography and control factors.

A documented risk level and reason codes.

Request stronger evidence or enhanced due diligence.

5
Make the onboarding decision

Approve, reject, hold or escalate according to policy.

A traceable outcome tied to the current policy version.

Apply maker-checker or specialist approval.

6
Store the decision record

Preserve the data, evidence, actions and reasons used.

A complete customer timeline with controlled access.

Flag incomplete evidence before the case closes.

7
Monitor after onboarding

Respond to material profile or screening changes.

An updated file and risk-based review schedule.

Re-open the case and apply the relevant review path.

Risk-based design

Use light, standard and enhanced routes

A risk-based workflow changes the depth of the journey according to relevant signals. The labels do not prescribe a universal policy. Each organisation must define its own triggers and controls.

Lower-risk route

Light

Use the minimum checks and evidence needed for a clearly defined lower-risk cohort.

  • Streamlined data collection
  • Deterministic checks
  • Automatic decision where policy permits
Default route

Standard

Apply the baseline checks required for the product, customer and market.

  • Full identity or business verification
  • Relevant screening
  • Risk assessment and clear outcome
Elevated-risk route

Enhanced

Gather additional evidence and judgment when the risk profile warrants it.

  • Targeted supporting documents
  • Deeper ownership or funds review
  • Specialist decision and approval
Worked example

How one applicant moves through the workflow

This fictional example demonstrates process logic only. It is not a recommended risk policy or legal advice.

Example profile

French company opening a payment account

The company record is available, but one beneficial owner has an address mismatch and a possible PEP match that requires resolution.

Collect

The application captures company, representative and ownership data once.

Verify

The registry confirms the company. The address mismatch prevents an immediate clean result for one owner.

Screen

A possible PEP match is returned with identifiers for analyst comparison.

Route

The workflow requests targeted address evidence and assigns the screening result to the correct queue.

Decide

A reviewer resolves the match, records the rationale and completes the decision under the approved policy version.

Monitor

The customer enters the monitoring and review schedule defined by the final risk level.

Exception handling

Design the difficult paths before launch

A workflow is only production-ready when it handles incomplete, inconsistent and uncertain results without losing customer context.

Incomplete data

A required field is missing

Return the customer to the exact field with clear guidance.

Avoid restarting the journey.
Verification failure

A document cannot be verified

Offer a valid alternative, controlled retry or review path.

Keep every attempt in the timeline.
Possible match

Screening needs judgment

Preserve identifiers, source context and the reviewer outcome.

Do not treat every match as confirmed.
Provider incident

A data source times out

Apply the configured retry, fallback or hold behaviour.

Separate technical failure from customer risk.
Workflow governance

Make every decision reproducible

The workflow should let an authorised reviewer understand which data, rules and actions produced a decision at that moment.

1

Version the policy

Record the workflow version, effective date, owner and reason for each material change.

2

Test before release

Use representative cases to check expected routes, exceptions and evidence before publication.

3

Control permissions

Separate editing, approval and publication rights according to the organisation’s governance model.

4

Keep reason codes

Store structured explanations alongside automated and human decisions.

5

Preserve data lineage

Link each result to its source, timestamp and the customer attributes used.

6

Record human actions

Capture assignments, evidence requests, notes, approvals and final outcomes.

Workflow analytics

Measure the path, not just the final approval rate

Segment metrics by market, product, device and risk route. A global average can hide the exact point where good customers fail or reviewers lose time.

Completion

Applicants reaching a valid decision.

BY COHORT
Drop-off

Exits and failures at each step.

BY REASON
Time to decision

Duration for each workflow route.

AUTO AND REVIEW
Manual workload

Cases, touches and review duration.

BY QUEUE
Decision quality

False positives, overrides and rework.

BY SIGNAL
Implementation checklist

Move from workshop to controlled production

Start with one customer segment and one product. Validate the process before adding markets, providers and edge cases.

1
Define the scope

Customer type, product, market, risk appetite and decision owners.

2
Map required evidence

Inputs, checks, sources, outputs and retention requirements.

3
Write decision rules plainly

Document conditions and outcomes before configuring tools.

4
Design every exception

Retries, fallbacks, missing information and manual handoffs.

5
Test representative cases

Expected paths, edge cases, technical failures and user recovery.

6
Instrument the workflow

Events, reason codes and metrics shared by product and compliance.

7
Launch a bounded cohort

Limit exposure, review results and correct gaps before expansion.

8
Review after launch

Monitor quality, workload, customer outcomes and policy changes.

Industry patterns

Adapt the workflow to the product and customer

The stages remain similar, but the evidence, risk factors and review responsibilities vary by context.

Banking and fintech

Account-opening workflows often prioritise fast identity checks, screening, product eligibility and explainable decisions.

Key design question: when is stronger evidence required?

Marketplaces and payments

Flows may combine individual checks, business verification, ownership, seller risk and account-opening fraud signals.

Key design question: which party and activity create the risk?

Crypto and digital assets

Workflows may require tighter segmentation, source-of-funds evidence and more frequent responses to policy changes.

Key design question: how does risk alter after onboarding?
Common questions

KYC workflow FAQ

What is the difference between a KYC workflow and a KYC process?
The terms are often used interchangeably. “Process” can describe the broader policy and operating model, while “workflow” usually emphasises the ordered steps, conditions, actions and handoffs used to execute it.
What is the difference between a KYC workflow and ID verification?
Identity verification is one possible check within the workflow. A complete workflow also covers data collection, screening, risk assessment, decisions, exceptions, evidence and ongoing monitoring.
Should every customer follow the same KYC workflow?
Not necessarily. A risk-based approach can vary checks and evidence according to relevant customer, product and geographic factors, provided the organisation documents and governs its policy.
When should a KYC case go to manual review?
Manual review is appropriate when the policy requires judgment, additional context or approval. Examples include ambiguous matches, inconsistent evidence, elevated risk or exceptions that cannot be resolved deterministically.
What should a KYC workflow audit trail contain?
It should preserve the relevant customer inputs, check results, source and time, workflow version, reason codes, evidence, reviewer actions and final outcome, subject to access and retention policies.
How often should a KYC workflow be reviewed?
Review frequency should reflect regulatory, product, provider and risk changes. Teams should also review the workflow when metrics reveal customer friction, inconsistent outcomes or excessive manual work.
Related KYC resources

Move from process design to implementation

This page owns the KYC workflow process. The related pages cover the tools and specialised components used to execute it.

KYC software
Evaluate the complete platform and its capabilities.
PLATFORM GUIDE →
KYC workflow builder
Configure and publish workflow logic visually.
BUILDER →
KYC orchestration
Coordinate providers, routing and execution.
ORCHESTRATION →
KYC/AML API integration
Connect the workflow to products and internal systems.
API INTEGRATION →
KYB verification
Verify companies, ownership and representatives.
KYB →
Customer onboarding software
Improve data collection and applicant experience.
ONBOARDING →
Account-opening fraud prevention
Add relevant fraud signals to onboarding decisions.
FRAUD PREVENTION →
Ongoing monitoring
Keep customer risk and evidence current after approval.
MONITORING →

Bring your KYC policy to life

Ondorse can help map your stages, risk routes, exceptions and review handoffs into a workflow your teams can test and operate.

Map a workflow with Ondorse →Explore the workflow builder
Subscribe to our newsletter

The latest information and tips on business onboarding, KYB, compliance, risk management

By submitting your information above, you hereby consent to Ondorse’s use of your information for sales and marketing purposes, and you otherwise agree with the use, storage and handling of your data by Ondorse in accordance with Ondorse’s Privacy Policy.
Logo Ondorse

Powering KYC/KYB
for modern operations.

Contact us
Eng
Fra
Get an AI summary of Ondorse:
Resources
BlogGuidesSuccess storiesAPI referenceProduct documentationIntegrationsProduct updatesSecurityOfficial documentsNews
KYC
KYC softwareKYC workflowKYC workflow builderKYC orchestrationKYC API integrationKYB verificationCustomer onboarding softwareAccount opening fraud prevention
COMPLIANCE
Compliance softwareKYC/AML platformAML case managementCustomer risk assessmentOngoing monitoring
SOLUTION
Client onboardingCase managementAML risk scoringApp marketplaceScan libraryRemediation libraryAll-in-one KYC/B
GET STARTED
Contact usLogin
USE CASES
For compliance teamsFor operations teams
COMPANY
TeamCareers
Ondorse.co ISOMark_27001-2022Ondorse.co Prescient SOC2 Type 2 Badge
Logo LinkedInLogo Twitter
Ondorse © 2026
Privacy PolicyTerms & ConditionsCookie Policy