Intelligent Agent-Based Automation
No-Code AI Workflows for Scalable Business Systems
At Tecorb Technologies, we specialize in building AI/ML-powered platforms that empower businesses to scale intelligently through automation and smart integrations. One of our standout innovations is a fully customizable, no-code automation system — inspired by architectures like Make.com — that enables users to build complex workflows by simply connecting agents and modules on a visual canvas.
Project Overview: No-Code Intelligent Agent Automation
We designed and delivered a modular AI-driven automation system where users — without writing a single line of code — can build intelligent workflows by dragging and dropping agents (autonomous units) and modules (task-specific components) on a canvas. These components communicate over secure APIs and Model Context Protocol (MCP), ensuring modularity, reusability, and real-time data flow.
Visual Builder Interface
Visual drag-and-drop interface for building multi-agent workflows
Key Features of Our No-Code AI Platform
Visual Canvas with Drag-and-Drop Logic
Our platform features an intuitive visual interface where users can create and configure workflows by dragging and connecting agents and modules. This dramatically reduces development time and empowers non-developers to build powerful systems.
Modular Agent and Module Architecture
The system is built around plug-and-play components—"agents" for decision-making and "modules" for task execution. Each unit is independently deployable, reusable, and can be configured with minimal technical input.
AI/ML-Powered Decision Making
Many of our agents leverage machine learning models to classify data, predict outcomes, and optimize decision flows in real-time. This makes workflows context-aware and adaptive.
Built-In Model Context Protocol (MCP) Compatibility
Our architecture is MCP-native, ensuring seamless communication with AI models and agents across different systems. It supports real-time data streaming and task chaining using standardized APIs.
FastAPI-Powered Backend Services
Each module is encapsulated as a microservice using FastAPI, ensuring high performance, strong security controls, and easy scalability.
Real-Time Trigger and Response System
The platform supports webhook-based or schedule-based triggers, enabling automation flows to react to events such as incoming emails, scheduled times, API calls, or external signals in real time.
Core Agents and Modules
Our system includes several categories of intelligent agents and modules, each fulfilling specific roles in the automation workflow.
Trigger Modules
Gmail Trigger
Monitors inbox for new emails based on customizable filters
Webhook Listener
Initiates workflows from external API calls
Schedule Trigger
Runs workflows on timed intervals or cron schedules
AI/ML-based Agents
NLP Intent Analyzer
Processes textual data to extract meaning and categorize intent
Lead Qualification Engine
Scores and categorizes leads based on multiple criteria
Content Generator
Creates contextual, personalized text content for various channels
Use Cases
Use Case 1: Automating Social Media Posting
We helped our client automate their social media publishing across platforms like LinkedIn, Instagram, and Facebook. Here's how the flow works in our drag-and-drop agent canvas:
Content Scheduler Agent (Trigger)
Initiates the process based on user-defined publishing schedules or manual input.
Content Formatter Module
Formats text and media content according to the specifications of each social media platform.
Platform Selector Agent
Determines which platforms (LinkedIn, Instagram, Facebook) the content should be routed to.
Social Media Poster Modules
Each module handles publishing content to its respective platform using official APIs and returns success/error logs to the workflow.
Slack Notification Agent
Notifies internal marketing teams with real-time post-publish status, including links to the live posts.
This workflow ensures consistent messaging across platforms and reduces posting effort by over 80%.
Use Case 2: Auto-Responding to Client Leads via Email
Our platform also enables businesses to respond to client inquiries the moment a lead email arrives in the inbox.
Gmail Trigger Agent
Monitors the inbox for new lead emails based on filters (sender, keywords, subject lines).
NLP Intent Analyzer
Parses the email content and classifies it into categories such as pricing inquiry, demo request, support, etc.
Lead Qualification Agent
Evaluates the prospect's value based on available metadata, lead source, and past engagement.
Auto Reply Generator Module
Uses a pre-trained LLM to draft a personalized, intent-aware reply, referencing product features, pricing links, or booking calendars.
This setup drastically improves lead engagement by eliminating response delays and maintaining consistent tone and accuracy.
Industries That Benefit from This System
Digital Marketing
Automate content scheduling, performance monitoring, and client reporting across multiple social platforms.
E-Commerce
Automate order confirmation emails, cart abandonment responses, and customer support workflows using AI-powered agents.
SaaS & Tech
Integrate AI workflows to qualify leads, personalize product recommendations, and improve onboarding experiences.
Healthcare
Streamline appointment scheduling, follow-up reminders, and triage incoming patient emails with AI-driven intent classification.
Real Estate
Instantly respond to new property inquiries, qualify potential buyers, and update CRM with client data in real time.
Education
Use automated agents to manage student enrollment, send course reminders, and provide AI-based tutoring support.
Interested in this project?
Pricing
Fixed Project Price
Complete project implementation
Hourly Rate
For customizations & maintenance