Interactive case study
4 months build window

Elevare Intelligence System

Monorepo CRM, API & Workflow Intelligence Stack

A pending monorepo combining CRM applications, API services, and n8n workflow assets for real-estate and sales operations.

Headline outcome
Merged CRM, API, and workflow automation concerns into one monorepo-oriented intelligence platform.
Business Outcome: Monorepo consolidating CRM code, core APIs, and n8n import templates under one build engine.
1
Unified Monorepo
8+
Ready Workflow Assets
Cross-stack
Product Consolidation
TypeScriptTurbopnpmn8nCRMDocker
Live Walkthrough
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Project snapshot

Pending
Duration
4 months
Why it matters
Consolidated application code and workflow intelligence into one pending platform direction for the Elevare ecosystem.
Role focus
  • System architecture design
  • Lead fullstack engineering
  • AI automation workflow routing
  • Containerized security isolation
  • High-availability infrastructure tuning
Overview

Why this system had to exist

I organized this system as a future-facing consolidation of application surfaces and automation workflows that support real estate and sales operations. Instead of leaving business logic split across separate projects, the goal was to bring apps, APIs, and workflow assets into one coordinated stack. That makes operational intelligence easier to reason about and extend.

Moment 01

A pending monorepo combining CRM applications, API services, and n8n workflow assets for real-estate and sales operations.

Moment 02

Consolidated application code and workflow intelligence into one pending platform direction for the Elevare ecosystem.

Moment 03

Monorepo consolidating CRM code, core APIs, and n8n import templates under one build engine.

Stage 1 of 5
Continue
Problem

What was breaking down

When CRM features, backend services, and workflow automation live in isolated repos, teams lose shared context and duplicate logic. Lead handling, sync routines, reporting, and notifications all drift. The challenge was to create a structure where the product surface and the workflow layer can evolve together instead of constantly being reconnected after the fact.

Moment 01

Project Structure

Separated systems

Moment 02

Workflow Ownership

Externalized automation

Moment 03

Platform Direction

Fragmented roadmap

Stage 2 of 5
Constraint map
Solution

The breakthrough and implementation path

I set up a monorepo using pnpm and Turbo with dedicated apps, packages, Docker scripts, and workflow assets. The repository includes CRM and API surfaces plus importable n8n workflows for sync and automation-heavy operational tasks. It stands as a pending platform direction that consolidates intelligence, workflow execution, and application development into one foundation.

Moment 01

The repository’s highest value is its unification model. Once workflows for sync, intake, AI insight, and team notification are treated as first-class citizens inside the same broader system, it becomes much easier to design around business outcomes rather than isolated technical components.

Moment 02

pnpm/Turbo Monorepo

Moment 03

CRM + API App Layer

Stage 3 of 5
Build system
Results

Before vs after, without the clutter

Outcome metrics stay visible while comparison details are compressed into large readable cards instead of long stacked panels.

Before

Project Structure

Separated systems

After

Optimized resolution

Unified monorepo

Stage 4 of 5
Measured impact
Architecture

Layered architecture with one consistent layout

Explore the operating layers and the shipped feature set in the same wider content frame used across the full case study.

Active layer

pnpm/Turbo Monorepo

Monorepo structure for apps, packages, and integrations
Ship 01

Monorepo structure for apps, packages, and integrations

Ship 02

CRM and API applications developed under one operational stack

Ship 03

Workflow assets for lead intake, sync, AI insights, and notification flows

Ship 04

Docker and development scripts for coordinated local execution

Stage 5 of 5
Architecture live