React SDK for B2B SaaS

Custom Workflow Automation for B2B SaaS.
Ship in Weeks, Not Months.

Build custom workflow automation into your B2B SaaS product — without spending months on the editor. One React SDK. Full source code. Your infrastructure.

Screenshot of a workflow automation software interface showing nodes library, workflow builder with connected action blocks, and a pop-up window to start building a workflow with options for templates or custom workflow.

TRUSTED BY ENTERPRISE TEAMS

15+

Years of diagramming expertise

170+

Custom workflow tools delivered

20+

Enterprise teams (Siemens, Canon...)

THE PROBLEM

Your customers need self-service workflows. Your team can't keep up.

Every workflow change means a ticket, an engineer, and weeks of waiting. Meanwhile, your customers want to combine AI models with human validation, design approval chains, and have them running by morning.

The question isn't whether your product needs workflow automation. It's how to deliver it without derailing your roadmap for half a year.

Weeks per workflow change

Every customer request goes through engineering. It doesn't scale.

AI workflows demand flexibility

Customers want LLMs + human validation + business rules. Linear sequences aren't enough.

Compliance requires control

Insurance, finance, healthcare — data must stay in your infrastructure.

CASE STUDIES

Three options

Only one lets you ship fast and keep control.

Your customers are asking for self-service. They want to open a visual editor inside your platform, design a workflow that combines AI agents with human tasks, hit save — and have it running by morning. No tickets. No waiting.

OPTION 1

Off-the-shelf platform

Bolt on n8n Embed, Camunda, or similar. Their UI, their data layer, their limits.

Time to ship

Fast

UX control

None

Data residency

Their cloud

Cost

~$50K+/yr

Vendor lock-in, cost compounds

OPTION 2

Build from scratch

Your team knows React Flow. But production-grade canvas, nodes, auto-layout and performance — it’s 700+ engineering hours.

Time to ship

3-5 months

UX control

Full

Data residency

Your cloud

Cost

700+ eng. hours*

Full control, massive opportunity cost

architecture

Three layers. You only build one.

The cost difference over three years is dramatic. n8n’s embed license accumulates;
Workflow Builder’s doesn’t.

1

Visual Workflow Editor

Workflow Builder

Drag-and-drop canvas with triggers, AI agent nodes, approval tasks, conditions. Plugin architecture, JSON output.

Drag & drop canvas

AI agent nodes

Approval tasks

Conditions & branching

Plugin architecture

JSON export

Figma Kit

2

Execution Engine

Your choice

Coordinate task execution, manage retries, handle state and parallelism across your systems.

Included in Enterprise

Flow Runner

Traverses your workflow JSON and calls your developer-defined functions per node type. Runs in the browser for instant visual testing — no backend needed. Port the same engine to Node.js when you’re ready for production.

Full flexibility

Bring Your Own Engine

Map the JSON output to Temporal, Camunda, AWS Step Functions, or your own workflow orchestration engine. Full control over retries, state management, monitoring, and scale.

3

Your Systems & Integrations

You build this

LLM providers, APIs, databases — on AWS, Azure, GCP, or on-premise. Full control over data residency.

OpenAI / Claude

REST APIs

Databases

AWS

Azure

GCP

On-premise

BUILD OR BUY?

USE CASES

Common workflow automation patterns

Teams across industries build these with Workflow Builder.You don’t need to build from scratch or embed off-the-shelf platform.

AI Head Circuit icon

AI + Human Validation

AI extracts data and scores risk. A human reviewer validates or corrects before the workflow continues.

Users icon

Multi-persona Workflows

Builders design flows visually. Executors see only their task queue — approve, reject, move on. Separate interfaces, one platform.

Shield Check icon

Regulated Data, Full Control

Self-hosted, on-premise deployment. JSON definitions and task data never leave your environment. Full audit trail.

Task management dashboard showing a list of tasks with their priority, type, assignee, status, AI accuracy, and due date

implementation

From eval to production in 4–6 months

Timelines vary with team size and domain complexity. Here's a realistic path.

1

Week 1–2

Evaluate & prototype

Install, embed the editor, wire JSON output to a backend endpoint.

2

Week 3–8

Customize & design

Match your design system with Figma Kit. Build domain-specific nodes.

3

Week 6–12

Orchestration & integration

Connect your workflow orchestration engine, integrate backend systems, set up monitoring.

Month 4–6

Production

Testing, iteration, and go-live with real customer workflows.

CASE STUDY

Insurance platform: from IT tickets to self-service

Workflow automation interface showing nodes and paths for processing claims
Quote icon

Workflow Builder gave us a complete, proven foundation — architecture, UX patterns, interaction design — all solved. Our team went straight to building what’s unique about our product. That saved us roughly €50,000 and months of trial and error.

Adam Lewkowicz

CTO at MessageFlow

~€50,000 saved

vs. building the visual editor from scratch

WHAT THEY BUILT

Claims workflow automation for European insurance carriers

An established insurance SaaS vendor. Their customers process claims, run underwriting decisions, and manage compliance workflows. Every change used to require an IT request, months of wait, and significant budget.

Layer 1

Visual editor for business analysts to design claims workflows with AI nodes, approval gates, and risk-based routing.

Layer 2

LangFlow for fast MVP, with a migration path to Temporal for production-scale workflow orchestration.

Layer 3

Cloud-hosted with full data sovereignty. LLM APIs, REST connections to core systems, email integration.

The result

Business analysts configure claims workflows in the visual editor

Case managers see a focused task queue: review AI data, approve or correct, move on

Process changes that took months through IT tickets now happen visually in minutes

What you end up with

Workflow automation inside your product — your brand, your UX

Builders design & modify workflows without filing tickets

Executors see only the tasks they need

Your backend, your cloud, full compliance control

Visual editor took weeks to integrate, not months to build

Get started

Whether you build with your own team or partner with ours

The path starts the same way.

Custom

Partnership

Extended engineering partnership.

15+ years of diagramming expertise

170+ delivered workflow projects

Temporal, LangFlow, custom engine integration

From discovery workshops to knowledge transfer

Your extended engineering team

€6,990

Enterprise Edition

One-time license. No recurring fees.

Full source code access

Flow Runner execution engine

Figma Design Kit

12 months of warranty and support

Community Edition available for evaluation

FAQ

  • How do I add workflow automation to my B2B SaaS product?

    You have three options: build a workflow editor from scratch (700+ engineering hours), embed an off-the-shelf platform like n8n Embed (~$50K+/year), or use a production-ready React SDK like Workflow Builder (one-time €6,990). Workflow Builder gives you a visual drag-and-drop editor with JSON output — you connect it to your own execution engine and backend systems.

  • What is the difference between a workflow editor SDK and a workflow automation platform?

    A workflow automation platform (like n8n, Zapier, or Camunda) is a complete product with its own UI, execution engine, and hosting. A workflow editor SDK (like Workflow Builder) is the embeddable UI layer you integrate into your own product. You keep full control over execution, data residency, and user experience — and your customers never leave your platform.

  • How long does it take to build a custom workflow automation platform?

    With Workflow Builder, the visual editor layer can be integrated in weeks. A typical path: weeks 1-2 for evaluation, weeks 3-8 for UI customization and domain-specific nodes, weeks 6-12 for execution engine integration, and months 4-6 for production readiness. The exact timeline depends on team size and domain complexity.

  • What is workflow orchestration and how does Workflow Builder handle it?

    Workflow orchestration is the coordination and execution of tasks across multiple systems — managing retries, state, parallelism, and error handling. Workflow Builder focuses on the visual editor layer and gives you full freedom to choose your orchestration engine: Flow Runner (included in Enterprise), Temporal, Camunda, AWS Step Functions, or your own custom engine.

  • Can I self-host a workflow automation platform built with Workflow Builder?

    Yes. Workflow Builder is a self-hosted React SDK — it runs entirely within your infrastructure. You get the source code with the Enterprise license. Your workflow definitions, task data, and user data never leave your environment. This makes it suitable for regulated industries like insurance, finance, and healthcare.

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