AI Agents
Automation
LMS Platforms
Web & Mobile
CRM & GHL
Staff Augmentation
The Core Squad
Initializing core systems0%

NOVAISET

Cut manual work 70% with a centralized AI workflow platform

Core FlowCore AIBusiness Automation
Industry
Business Automation
Year
2024
Timeline
8 months
Squad size
7 specialists
At a glance

"A centralized AI automation platform to design, run, and monitor workflows with built-in AI steps."

Impact & results
-60%Workflow execution time
+80%Automation coverage
-70%Manual work reduction
Timeline
8 months

Sprint-based delivery.

The squad
7 specialists — PM, tech lead, 2 backend, 2 frontend, AI/ML engineer, QA
The challenge

Scattered automation tools with no single source of truth.

Workflows were built manually across multiple disconnected apps — integrations, approvals, notifications, and data sync all lived in different places, causing duplicate work and inconsistent execution with limited visibility.

What's included

Everything under this engagement.

01

Workflow Builder & Nodes

  • Drag-and-drop flow design with triggers, actions, and conditions
  • Delays and reusable templates
  • Multi-tenant architecture for scale
02

Triggers & Connectors

  • Event-based automation — app events, schedules, webhooks
  • Secure signature validation
  • Pluggable integrations with encrypted credential storage
03

AI Steps & Execution

  • AI-powered text generation, classification, and routing
  • Job queues, retries, timeouts, and deduplication
  • Status tracking for every run
04

Monitoring & Access

  • Detailed run history and searchable audit logs
  • Role-based access and workspace permissions
  • Performance metrics and usage reporting
Gallery

Explore the interface and core components.

NOVAISET — Dashboard
NOVAISET — Dashboard
NOVAISET — Workflow Builder
NOVAISET — Workflow Builder
Build & infrastructure

The technology driving this solution.

ReReact.NET.NET CorePgPostgreSQLAPIRESTful APIsAIAI Models

Our approach

We built a centralized platform that lets teams design, run, and monitor workflows in one place — drag-and-drop flow design, event-driven triggers, pluggable connectors, and AI-powered steps for classification, extraction, and routing, all on a scalable multi-tenant architecture.

The result

Teams now automate operations without stitching together multiple systems, with real-time execution logs, reliable scheduling, and a 70% cut in manual work.

Delivered by

Core FlowN8N, GHL, automation

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