EmbedSaaS Product Engineer

Embed Workflow Builder in One Sprint | FluidGrids Use Cases

Spike on Monday, auth midweek, a routed automations module by the demo

Embed Workflow Builder in One Sprint | FluidGrids Use Cases

Every B2B SaaS roadmap eventually grows the same line item: "customers want automation". Building a workflow engine in-house is a multi-quarter detour through queues, schedulers, connector maintenance, and a canvas UI. The embed path compresses that to a sprint.

Day one is a spike that costs almost nothing: install the SDK, mount the standalone builder with a test workspace, and confirm the thing is real — drag nodes, wire edges, save, execute, watch logs stream. No backend work on your side; the SDK talks to the FluidGrids API directly.

The genuine engineering is the middle of the sprint: auth and tenancy. Your backend maps each customer account to a workspace and mints the token the SDK forwards. That mapping is the security boundary — every builder action is authorized by the platform API against that token, so customer A can never see customer B's workflows, connections, or runs.

Then the product work: mount the full routed module under /automations in your app's router, and it — list, builder, runs, settings — inherits your navigation. White-label props strip chrome to match your design system, and callbacks keep your product in the loop: track saves in your analytics, route your own upgrade modal when a customer hits a plan limit.

Polish is incremental from there: seed golden templates so customers start from your curated automations instead of a blank canvas, and surface run monitoring so they self-serve their own triage. The feature that was a quarter of platform engineering becomes a sprint of integration — and your roadmap gets the quarter back.

Do it yourself

Go from 'should we build a workflow engine?' to shipping automations inside your product in one sprint — a standalone spike, host auth wiring, then the full routed module mounted under your own route.

0 / 7
  1. Install the SDK and mount the standalone builder against a test workspace to confirm it is real — drag nodes, wire edges, save, execute.

    npm install FluidGrids frontend SDK

    You should see: A working canvas with no backend work on your side; the SDK talks to the FluidGrids API directly.

Ready to make this your story?

We use cookies for essential site functions and, with your consent, for analytics to improve FluidGrids. We don't use advertising or cross-site tracking cookies. See our Cookie Policy.

Preferences