enterprise

    Confidential (ops-heavy scale-up)

    Workflow Engine · agentic automation OS

    A drag-and-connect Workflow Engine that turns internal SOPs into agent-driven pipelines with human-in-the-loop gates.

    Revenue
    Internal platform
    Time to build
    3 months
    Launched
    2026
    Location

    The story

    The client had 40+ standard operating procedures living in Notion and Google Docs. We built a visual Workflow Engine where each SOP is modeled as a directed graph of steps: some steps are agent calls, some are integrations (Slack, HubSpot, Stripe, internal APIs), some are human approvals. Every run is persisted, replayable, and observable, and the graph structure means an ops lead can edit a workflow without touching code. The key architectural decision was separating the graph definition from the run history. That gave us fully-typed step schemas, safe rollbacks when a workflow changes, and per-tenant customization without forking. Agents run on the platform's AI Gateway with per-tenant rate limits and cost tracking.

    Stack

    React
    Vite
    Tailwind
    PostgreSQL
    Supabase
    AI Gateway

    Reported metrics

    SOPs migrated
    40+
    Human-hours saved / week
    180+
    Median workflow build time
    30 min

    Public contact

    • Reach out via the source links.

    The full build breakdown

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    Lessons
    • Separate the definition graph from the run history — otherwise you can't safely edit live workflows.
    • Every agent step needs a human-approvable checkpoint until trust is earned.
    • Cost tracking per tenant is not optional the moment you put LLMs behind a shared platform.

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