How EdgeKit’s AI Agent Works for SMEs
EdgeKit AI handles incoming support emails with modular intelligence.
Here's how the process works — all within your infrastructure:
📨 Step 1: Email Intake
New message arrives in your system or inbox
🧠 Step 2: Classification
AI detects intent: invoice, complaint, update, etc.
📄 Step 3: Info Retrieval
It pulls answers from your internal documents (RAG)
✍️ Step 4: Draft Generation
It writes a suggested reply in your tone
✅ Step 5: Review + Log
Human team reviews, edits, and sends — all tracked


Every EdgeKit AI Agent follows this streamlined pipeline, running entirely on your infrastructure. Unlike traditional SaaS tools, it doesn’t rely on a single model or cloud API. You choose your own LLM, connect internal documents for retrieval, and keep full control over message flow and audit logs. Whether you want to reduce response time, boost consistency, or free up human agents — this modular setup adapts to your needs. It’s fast to deploy, secure by design, and built for small businesses who don’t want to trade control for convenience.
EdgeKit AI
EdgeKit gives developers and solopreneurs real-world GenAI kits to build smarter tools, faster. From notebooks to APIs — everything is modular, tested, and ready to customize.
Created by Amal Nozieres, AI Agent Builder
Ready to test EdgeKit?
contact@edgekit.ai
→ Browse Kits
→ Featured Kit: Kaggle Support Agent
→ Try a Starter Notebook
→ Contact Amal
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