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Flowker is designed for the operational realities of financial institutions. This page walks through five common scenarios for structuring workflows. The controls and outcomes depend on the external systems and integration enforcement you configure.

Transaction validation


The problem

When validation happens after a transaction is written to the ledger, the damage is already done. Invalid writes create compliance violations, trigger costly rollbacks, and erode data integrity. Remediation is expensive, time-consuming, and often incomplete.

How Flowker solves it

Use a Flowker workflow to orchestrate KYC, AML, fraud-scoring, and balance-validation calls before a ledger-posting step. You define the sequence in the order your compliance policies require. Your ledger integration must enforce that no other path can post without the required checks. If a validation node fails, the workflow execution fails. Execution records capture the configured processing steps and their results.

Business outcome

  • Configurable validation path — place the checks required for your operation before its posting step
  • Execution records — inspect configured processing steps and their results
  • Integration-owned posting control — enforce the required checks at the ledger boundary

Customer onboarding (KYC/AML)


The problem

Customer onboarding in financial services involves identity verification, document checks, AML screening, and risk scoring — often spread across multiple systems, teams, and manual handoffs. It can be difficult to see where a customer is in the process or which checks have completed.

How Flowker solves it

Flowker lets you define the entire onboarding sequence as a single workflow: identity verification, then document check, then AML screening, then risk scoring. Each step calls the appropriate external provider automatically. Conditional logic routes customers to enhanced verification when risk scores exceed your thresholds. The workflow tracks every step, so you always know exactly where each customer is in the process.

Business outcome

  • Automated sequencing — structure the configured checks and handoffs in one workflow
  • Standardized process — every customer goes through the same validated steps, regardless of which team handles them
  • Evidence-ready from day one — the execution record shows exactly what checks ran, when, and with what results

Payment orchestration


The problem

Payment routing involves multiple providers, each with different APIs, authentication methods, and response formats. Building and maintaining custom integrations for each provider consumes engineering resources and creates fragile, hard-to-change payment flows.

How Flowker solves it

Flowker coordinates multi-step payment flows as a single workflow: fraud check, then balance verification, then payment gateway call, then confirmation. Each service instance is configured once as a provider configuration that holds its base URL and credentials, and every workflow node that calls it carries its own field mappings. If a provider call fails on a transient error, Flowker retries it automatically with exponential backoff (POST and PATCH calls run once unless the node opts into retries). Circuit breakers prevent cascading failures when a provider goes down.

Business outcome

  • Consistent payment processing — every payment follows the same validated path
  • Automatic failure recovery — transient errors are retried without manual intervention
  • Provider resilience — circuit breakers isolate failing providers so the rest of your operations continue

Fraud detection workflows


The problem

In many systems, fraud checks are bolted on after the transaction is already in progress — or worse, after it’s committed. By the time a fraudulent transaction is flagged, the financial and reputational damage may already be done.

How Flowker solves it

Use Flowker to run fraud scoring before the posting or action step that you configure. Conditional branching lets you define different paths based on risk level: low-risk transactions can continue, medium-risk transactions can trigger additional verification, and high-risk transactions can route to a rejection path. The integration that posts or acts on the transaction must enforce that its required Flowker checks ran; a workflow definition alone cannot block another system path.

Business outcome

  • Risk decisions in the configured flow — place fraud scoring before the posting or action step
  • Risk-based routing — different risk levels trigger different responses automatically
  • Traceable workflow checks — inspect the configured score, branch, and execution record

Provider integration acceleration


The problem

Integrating an external provider involves its API contract, authentication, error handling, security review, and testing. The effort varies by provider and by the controls your integration requires.

How Flowker solves it

Flowker separates the connection from the workflow logic. You create a provider configuration — base URL, credentials, and the hosts it may call — and reference it from workflow nodes. The mappings that reshape data for that service live on the node. You can update settings of an existing provider configuration; a migration that changes provider, executor, or provider-configuration ID can also require updates to draft workflow nodes. Catalog provider configurations are validated against the provider JSON Schema. external_openapi configurations use dedicated external OpenAPI and configuration validation.

Business outcome

  • Centralized configuration and mappings — keep connection settings and node mappings in their respective workflow surfaces
  • Reusable across workflows — configure a provider once, use it everywhere
  • Provider migration control — update settings directly and update draft nodes when their provider or executor reference changes

What’s next


Getting started

Set up Flowker and run your first workflow end to end.

Integration guide

Learn how to create provider configurations for your workflows.