.png){kind=logo}
.jpeg)
%201.png){kind=logo}
01 · DESIGN
Add checks and actions
Forms, KYB, KYC, screening, document requests and case handoffs.
KYC workflow builder: no-code automation for faster, compliant onboarding
A modern KYC workflow builder lets product and compliance teams design, test, and ship onboarding journeys without writing code. Instead of hard coded flows that take weeks to change, a no-code KYC builder turns policy into rules, routes users based on risk, and automates approvals for clean cohorts. The result is faster launches, lower unit cost, and decisions you can defend to auditors.
What a KYC workflow builder should automate
The right tool covers more than forms. It connects capture, checks, decisioning, and investigations into one lifecycle you can change safely.
Drag and drop editor to compose steps like document capture, selfie match, liveness, and sanctions/PEP screening.
Rules engine for risk based routing by country, product, device risk, and velocity signals.
Auto approve and auto escalate logic that converts clean signals into instant decisions and opens case management only when needed.
Provider orchestration to pick the best IDV, company data or screening vendor per context with safe fallbacks.
Versioning with drafts, previews, and rollbacks so changes are reversible.
Event model and webhooks so product, data, and support subscribe to the same truth.
Analytics for pass rate, step level drop offs, and cost per successful verification.
.webp)
How no-code KYC automation works end to end
From canvas to production
Under the hood, the builder turns policy into machine readable logic and executes it in real time. You design once; the engine applies it across web and mobile.
Teams model a flow on the canvas with start nodes, checks, conditions, and outcomes. Drafts run in staging with realistic samples. When results hold, you publish a new version. The platform records reason codes, evidence links, and timestamps for each decision so audits see what changed and why.
Designing risk based paths without code
Light, standard, and enhanced routes
Not every customer needs the same friction. A KYC workflow builder should make segmentation simple and auditable.
Express three core routes as reusable templates. Attach clear triggers to move between them, and define the evidence to store for each decision.
Light: streamlined IDV and quick screening for low risk markets and clean device histories
Standard: stronger liveness, selfie match, and proof of address when signals justify it
Enhanced: targeted questionnaires, extra documents, and maker checker review for high risk profiles
Micro scenario
A new user in a low risk country starts on mobile. Device and IP look clean; the builder sends the light path with one fast vendor. A velocity spike on the phone number flips a condition; the flow switches to standard, adds selfie liveness, and requests proof of address. Evidence and reason codes are attached automatically. The case auto approves once checks pass, and the version of the rule that triggered the switch is logged for audit.
Templates that ship faster and safer
Reusable blueprints that matter in real life
Templates reduce guesswork and keep flows consistent across products and countries.
Start with ready made flows for fintech account opening, crypto onboarding, and marketplace sellers. Each blueprint includes default checks, thresholds, recommended evidence, and typical SLAs. You tailor details; you keep the structure.
Provider orchestration inside the builder
Smart routing and safe fallbacks
No single vendor wins everywhere. Built in orchestration lets you combine strengths without touching your app.
Route by country, document type, or backlog. If a provider slows or coverage drops, fallback rules switch traffic automatically. A/B test strategies and compare pass rate, latency, and unit cost before rollout.
Automation that removes manual work
High leverage automations to enable
Automation should replace emails and ad hoc checks with deterministic logic and clean hand offs.
Auto enrichment that fetches device, IP, and profile risk at the start node
Auto approve for low risk cohorts when all signals are green, with clear reason codes
Auto escalate to an investigation queue when match confidence or velocity crosses thresholds
Auto notify customers with localized guidance for missing or low quality documents
Observability, analytics, and ROI
Dashboards that teams actually use
You cannot improve what you do not measure. The builder should expose metrics that tie changes to business outcomes.
Acceptance rate for legitimate users by segment and market.
Drop off rate by step with root causes like glare, blur, or timeout.
False positive rate in screening and average investigation time.
Time to decision for signups, including manual queues.
Cost per successful verification factoring vendor mix and analyst hours.
Governance and policy as code
Regulated teams need traceability. Express thresholds, reason codes, and outcomes as versioned rules with approvals and previews. Keep a visible changelog, reviewer names, and effective dates. Ondorse stores rule history next to decision timelines so auditors see which policy was live at the time.
Security and privacy by design
Controls that simplify audits
Identity data is sensitive. The builder must protect it by default and make safe choices easy.
Encryption in transit and at rest with managed key rotation.
Role based access control with SSO and least privilege access to evidence.
Data minimization and short retention with explicit deletion flows.
Data residency options for regulated regions.
Signed webhooks and scoped API tokens for integrations.
How the builder fits your stack
Adjacent layers to connect on day one
KYC API integration for document, biometric, and screening checks with idempotency and clear error semantics.
KYC API integration with idempotency and clear error semantics
Customer onboarding software for forms, guidance, and localized UX
Customer risk assessment to translate raw signals into scores and routes.
AML case management for escalations, evidence, and maker checker review
Data warehouse and BI to analyze pass rate, drop offs, and unit economics
Implementation checklist
From pilot to automated scale
Big bang releases create risk. A phased rollout proves impact fast and scales with confidence.
Define risk segments and required checks, including evidence to store for each outcome
Start with a template for one market and one product, publish as v1 with success criteria
Integrate two providers per critical check and define fallback rules.
Run an A/B on a small cohort, then roll out gradually with versioned rule changes
Instrument events and webhooks for analytics, define fallback rules per provider
Version changes with approvals and keep diffs linked to metric snapshots.
Next steps
If you are evaluating a KYC workflow builder, start by mapping segments and the decisions you want to automate. Choose a SaaS platform with drag and drop design, a real rules engine, built in orchestration, audit ready versioning, and clear analytics. Connect data on day one, iterate in small, measured steps, and let automation carry the load as you scale.
Explore what modern ops teams have built with Ondorse
From banks to insurance and payment companies, meet our customers
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
Buyer FAQs
Teams often ask how a builder differs from a generic workflow tool, how much to automate, and what happens during vendor incidents.
How is a KYC workflow builder different from a generic workflow tool?
How much should we automate on day one?
What if a provider slows down or fails?
Visual KYC workflow builder
Turn your risk policy into a live onboarding flow
Design, test and publish risk-based KYC and KYB workflows without hard-coding every rule. Give compliance control of the policy while engineering keeps control of the integration.
merchant-onboarding · draft v3
Application submitted
TRIGGER · COMPANY + REPRESENTATIVE
Company and UBO verification
KYB · REGISTRY · OWNERSHIP
AML and sanctions screening
PEP · SANCTIONS · ADVERSE MEDIA
LOWER RISK
Approve automatically
REVIEW REQUIRED
Request evidence + assign
Monitor after onboarding
EVENT-BASED · SCHEDULED CHECKS
Definition
What is a KYC workflow builder?
A KYC workflow builder is a visual tool for turning an onboarding policy into executable steps: collect data, run verification and screening checks, apply risk rules, request evidence and route exceptions for review.
Instead of spreading logic across engineering tickets, provider dashboards and spreadsheets, teams maintain one versioned flow. Compliance can review the decision path; operations can see where a case is blocked; engineering connects the flow to the product and data stack.
Ondorse combines the builder with KYC orchestration. The distinction matters: the builder defines what should happen; orchestration executes the required checks across providers.
From policy to production
Design, test and publish without losing control
The workflow your compliance team approves is the workflow your product executes.
02 · DEFINE
Set the risk rules
Branch on applicant, ownership, geography and screening results.
03 · TEST
Run sample cases
Review each outcome before the policy reaches real applicants.
04 · APPROVE
Version the change
Record who changed the flow, why and which version was approved.
05 · PUBLISH
Monitor the live flow
Track completion, exceptions and the cases that need judgment.
Concrete workflow example
Route each applicant according to your own risk policy
This illustrative configuration shows how a policy can become explicit, testable workflow logic. Thresholds and evidence requirements remain specific to each organisation.
Example policy
EU business account onboarding
Verify the company and its beneficial owners, screen relevant parties, then adapt evidence and review to the risk signals found.
If
Registry data matches, ownership is resolved and no material screening signal is found.
Then
Continue through the lower-friction path and record the checks used for the decision.
Otherwise
Request the relevant evidence, pause automatic approval and assign the case to the appropriate review queue.
After approval
Run the monitoring events and periodic checks defined by the organisation’s risk policy.
Illustrative workflow only. It is not a prescribed compliance policy or legal advice.
Built for day-to-day operations
One builder, three teams, clearer ownership
Compliance
Own the decision logic
Review risk branches, evidence requirements and escalation rules in a readable flow.
- Version history
- Approval context
- Traceable decisions
Operations
Work only the exceptions
Route cases to the right queue with the facts and checks needed for review.
- Structured handoffs
- Case status visibility
- Consistent evidence requests
Engineering
Integrate once, change safely
Keep product integrations stable while authorised teams evolve workflow logic.
- API and event integration
- Provider abstraction
- Controlled releases
Build, buy or adapt
How a specialised workflow builder compares
The right approach depends on complexity, internal resources and the level of control your team needs.
| Consideration | Specialised KYC builder | Generic automation tool | Custom internal build |
|---|---|---|---|
| Fast initial setup | Designed around onboarding checks and decisions | Useful for simpler, lower-risk processes | Usually requires a longer first implementation |
| Risk-based routing | Native, visual policy logic | Possible with additional configuration | Fully custom, built and maintained internally |
| Verification providers | Connected through KYC orchestration | Individual connectors or API work | Direct integrations maintained by engineering |
| Change governance | Versioned flows and controlled publication | Depends on tooling and setup | Depends on internal release controls |
| Best fit | Regulated teams that change policies and providers | Simple workflows and general business automation | Unique requirements with dedicated engineering capacity |
Business case
Model the operational impact with your own inputs
The calculator illustrates how changes in straight-through processing can affect review workload. It does not predict or guarantee results.
Applications per month
3,000
Current straight-through rate
35%
Scenario straight-through rate
70%
Average minutes per manual review
9 min
1,050
manual reviews avoided in this scenario
Review hours
158 h
Illustrative arithmetic only: volume Ă— difference between the two straight-through rates Ă— review time. Actual outcomes depend on policy, applicant mix, data quality and implementation.
Customer evidence
Replace promises with verifiable proof
This maquette deliberately reserves space for approved customer evidence instead of publishing unattributed performance claims.
Ondorse enabled us to automate the entire customer lifecycle, while operating at scale.
Ondorse is a no-brainer when it comes to compliance policy.
Buying questions
KYC workflow builder FAQ
What is the difference between workflow building and KYC orchestration?
Workflow building defines the sequence, rules, decisions and handoffs in an onboarding policy. KYC orchestration executes the required checks across verification and screening providers. In Ondorse, the two capabilities work together.
Can compliance teams change a workflow without engineering?
The builder is designed to let authorised compliance and operations users edit workflow logic visually. Engineering remains involved in the initial integration, custom data requirements and any organisation-specific controls.
How are workflow changes controlled?
A production implementation should record versions, approvals and publication context so teams can explain which policy ran for a given application. The exact Ondorse controls shown to a client should be confirmed against the current product.
Can a workflow use more than one verification provider?
The workflow can call checks exposed through the orchestration layer. Provider availability, fallback behaviour and routing options depend on the connectors and configuration included in the customer’s Ondorse setup.
Does automation replace manual review?
No. Automation can resolve deterministic cases and route exceptions, while trained reviewers retain responsibility for cases requiring context or judgment.
How long does implementation take?
Timing depends on the existing onboarding stack, data model, providers, risk policy and approval process. Ondorse should provide a scoped estimate after reviewing those requirements.
Related capabilities
Connect the builder to the rest of your onboarding stack
Each page owns a distinct intent: the builder defines the flow; the linked capabilities supply or execute parts of it.
Bring one onboarding policy.
Leave with a working flow.
In a product walkthrough, Ondorse can map your checks, risk branches and review handoffs on the canvas.