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AI & Automation

FlowMaticX

A SaaS platform for lead workflows, customer conversations and AI-assisted automation.

Year
2025
Category
AI & Automation
Role
Founder project
Visit the live sitePlan something similar
FlowMaticX website on desktop
FlowMaticX website on mobile
The situation

Lead workflows and AI conversations in one product.

Small sales teams often lose leads in the gaps between their tools. A chat on the website never reaches the CRM, an enriched lead sits in a spreadsheet, and a follow-up depends on somebody remembering. FlowMaticX keeps the whole sequence in one product.

What we built

The parts that do the work

01 / 04

Embedded conversations

A website widget connects a visitor to a knowledge-based chatbot, with a defined handoff to a human when the conversation needs one. The same widget also runs on the Armela site.

02 / 04

Connected lead work

Research, enrichment and CRM stages sit on the same records, so a lead keeps its context as it moves between stages instead of being re-keyed.

03 / 04

Visual automation builder

Operators build workflows in a visual editor instead of code, so they can change a sequence without a deployment.

04 / 04

Agency-ready operation

Multi-tenant accounts, white-label branding and Stripe billing let FlowMaticX run as a subscription product on one shared install.

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How it came together

From the brief to what changed after

  1. 01

    Approach

    The platform combines an embedded knowledge-based chatbot, lead enrichment, CRM workflows and a visual automation builder. It also has agency accounts and billing.

    1. 01Website visitor
    2. 02Knowledge-based chat
    3. 03Human handoff
    4. 04CRM workflow
  2. 02

    The stack, and why

    The application runs on Next.js and TypeScript. Prisma and MySQL hold the lead and workflow records, Stripe handles subscription billing, and n8n runs the automation layer. A relational store fits because lead, account and workflow-run records are heavily related, and a document store would have pushed that joining work into application code.

  3. 03

    After launch

    Because the automation layer is visual, day-to-day changes are an operator task rather than a development ticket. The multi-tenant model means onboarding another agency account does not require new infrastructure.

    A working SaaS product owned by the founder. Its embedded chatbot is also used in the Armela project.

Tell us what you're building, get a fixed scope

A free 15-minute call, then a written scope and estimate. No obligation, no sales script.