Interactive case study
4 months build window

Elevare Intelligence System

Monorepo CRM, API & Workflow Intelligence Stack

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
Elevare Intelligence System dashboard visual

Why it matters

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

Current signal

Pending

Focused delivery from architecture through working interaction model.

Mission

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

I organized this system as a future-facing consolidation of application surfaces and automation workflows that support real estate and sales operations.

Moment 02

Instead of leaving business logic split across separate projects, the goal was to bring apps, APIs, and workflow assets into one coordinated stack.

Moment 03

That makes operational intelligence easier to reason about and extend.

Stage 1 of 4
Immersive sandbox
Architecture Simulation Console

This system is fully operational. Switch narrative tabs to explore context, problems, and breakthrough milestones.

Architecture explorer

Select a layer to inspect the operating shape of the system.

Active layer

pnpm/Turbo Monorepo

Monorepo structure for apps, packages, and integrations

This layer participates in the wider system boundary described in the story above, connecting runtime behavior, user-facing interaction, and safety constraints into one deployable stack.

Before / after transformation

The outcome is easier to feel when you switch between baseline and optimized states.

Before

Project Structure

Separated systems

After

Optimized resolution

Unified monorepo

What shipped

Monorepo structure for apps, packages, and integrations

CRM and API applications developed under one operational stack

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

Docker and development scripts for coordinated local execution