This workflow is a multi-layered AI email responder built to eliminate missed opportunities and automate communication without losing human context. It reads each incoming email, classifies it into precise categories and subcategories, and triggers specialized agents for accurate replies, alerts, or meeting scheduling. Using RAG-based company knowledge, the system ensures every reply aligns with internal values, policies, and tone while escalating critical messages instantly.

The system uses a webhook-triggered pipeline that receives emails from multiple inboxes, classifies them into categories and subcategories, and routes them to specialized agents. Each agent handles a specific purpose—support, meetings, leads, non-replyable alerts—and responds or escalates based on importance. The workflow ensures no important message is ever missed while maintaining consistent, context-aware communication.

HIGHLIGHTS: • AI classification across Leads, Meetings, Support, and Other • Four subcategories determining importance and replyability • RAG-powered replies aligned with internal company database • Meeting agent that checks availability and books calls • Discord alert system for urgent or human-required emails

Automation

N8N

$900 – $1,200

$150 – $250

A clear look at the problem, the system we built, and the measurable results it delivered.

The client was missing important emails, causing lost leads and delayed responses. They had no structured system to identify priority messages, leading to inconsistent communication and increased manual workload.

We created a multi-agent AI pipeline that classifies emails, routes them to the correct responder, and uses company-specific RAG data for accurate replies. High-priority emails trigger instant Discord alerts, and meeting requests are handled automatically.

The system eliminated missed emails and enabled instant, context-aware replies. Important messages now get real-time alerts, and meeting scheduling became fully automated. Communication quality improved with consistent, policy-aligned responses.