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Workflow

AI-Powered Inbox Triage

Classify, draft and route every incoming email so you only see what needs you.

2 min readupdated 2026-06-22

/ quick answer

An LLM classifies every email into intent buckets (sales, support, admin, spam, personal), drafts a reply where safe, and applies labels + priority. Classify, draft and route every incoming email so you only see what needs you.

Classify, draft and route every incoming email so you only see what needs you. The problem it solves: Founders and operators lose 1–2 hours/day to email that a system could handle. Filters aren't enough because intent is fuzzy. An LLM classifies every email into intent buckets (sales, support, admin, spam, personal), drafts a reply where safe, and applies labels + priority. It runs in 5 steps, starting with ingest new mail via gmail api or a make/zapier trigger. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Founders and operators lose 1–2 hours/day to email that a system could handle. Filters aren't enough because intent is fuzzy.
Solution
An LLM classifies every email into intent buckets (sales, support, admin, spam, personal), drafts a reply where safe, and applies labels + priority.
Steps
  1. 01Ingest new mail via Gmail API or a Make/Zapier trigger.
  2. 02Run a classifier prompt with a fixed enum of intents and a confidence score.
  3. 03For 'sales' and 'support': draft a reply grounded on your FAQ / RAG index; leave in Drafts, don't send.
  4. 04For 'admin': extract structured fields (invoice #, date, amount) and push to Notion.
  5. 05Apply Gmail labels + star; the human only reviews high-priority + drafts.
Tools Used
Prompts Used
Variations
  • Add a weekly 'inbox health' report with time saved and top intents.
  • Route sales leads directly to CRM with enrichment.
Related Dictionary
/ frequently asked

What does the AI-Powered Inbox Triage workflow do?

An LLM classifies every email into intent buckets (sales, support, admin, spam, personal), drafts a reply where safe, and applies labels + priority.

What problem does AI-Powered Inbox Triage solve?

Founders and operators lose 1–2 hours/day to email that a system could handle. Filters aren't enough because intent is fuzzy.

How many steps does AI-Powered Inbox Triage take?

5 steps. It starts with ingest new mail via gmail api or a make/zapier trigger. and ends with apply gmail labels + star; the human only reviews high-priority + drafts..

Which tools does AI-Powered Inbox Triage need?

It uses ai-automation-operator-stack, no-code-automation-stack — each linked below with its own node.

/ topics#ops#productivity
↳ connected nodes
Dictionary↳ linked
Structured Output
Forcing AI responses into predictable schemas that software can use.
Dictionary↳ linked
Human-in-the-Loop
A control pattern where humans review high-risk AI decisions before execution.
Dictionary↳ linked
Webhook
An HTTP callback that lets one system push data to another the moment an event happens.
Tool Stack↳ linked
AI Automation Operator Stack
The default toolset for one operator running multiple AI-powered business workflows.
Tool Stack↳ linked
No-Code Automation Stack
The default toolset for an operator running business workflows without engineers.
Prompt↳ linked
Lead Qualification Prompt
Score a lead against your ICP and explain the decision.
Tool Stack↳ linked
Solo Founder Daily AI Stack
The 6-tool stack a solo founder actually uses every day — no fluff.
Dictionary↳ linked
PII Redaction
Stripping personally identifiable information before sending to a model.
Tool Stack↳ linked
Community Manager AI Stack
Run an active community (Discord/Slack/Circle) with 1 CM + AI.
Use Case↳ linked
Law Firm Automates Intake, Cuts Response Time 90%
Mid-sized firm deploys an AI intake agent for after-hours leads.
Workflow↳ linked
Telephony AI Voice Integration
Telephony AI Voice Integration is a workflow that connects AI voice agents with traditional phone systems to automate customer interactions, providing scalable and efficient support.