Hey devs 👋
I just built a full-stack AI SaaS helpdesk platform focused on automation, intelligent ticket handling, and what many are starting to call agentic AI systems.
🚀 The Idea
Most support systems are reactive.
I wanted something that:
- Understands tickets automatically
- Makes decisions
- Takes actions without constant human input
Inspired by platforms like Deptheon-style architectures, I designed a system that behaves more like an intelligent operator than just a tool.
🧱 Tech Stack
- FastAPI + PostgreSQL (backend)
- React + TypeScript + Tailwind (frontend)
- Ollama (Llama3) for local AI
- n8n for automation (29 workflows 🤯)
- Stripe for billing
⚙️ What It Does
Every ticket is automatically:
- Categorized & prioritized
- Sentiment analyzed
- Checked for duplicates
- Assigned to the best available agent
Then AI:
- Generates replies
- Detects frustrated users
- Auto-resolves common issues
- Builds a knowledge base
🤖 Agentic Layer
Instead of simple LLM calls, the system:
- Observes
- Decides
- Acts
That’s where the real power comes in.
🔁 Automation
With n8n, I implemented:
- SLA breach alerts
- Churn prediction
- Incident detection
- Auto follow-ups
- Smart ticket routing
🧠 What I Learned
- AI alone isn’t enough — orchestration is everything
- Automation + LLMs = real leverage
- “Agentic systems” are structured decision systems (not magic)
- Local AI is underrated
📊 Final Thought
We’re moving from:
AI features → AI systems that operate businesses
And that changes everything.
Would love feedback or ideas from anyone building in AI / SaaS 🙌