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

EdgeKit AI agent workflow with modular components and message reply interface
EdgeKit AI agent workflow with modular components and message reply interface

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.