Enterprise DNA
Directories / Use Cases / Build an AI Email Assistant

Use case

Build an AI Email Assistant

Draft, triage, and respond to email automatically by composing an agent runtime, a real email surface, a voice match skill, and a persistent store for thread context.

The inbox problem is not volume, it is the cost of context-switching to judge which threads need a reply and what to say. Every solution that auto-sends without a review step either sends the wrong thing or erodes trust fast enough that you disable it in a week. The builders who make this work are ops leads, founders, and small customer-success teams who process 80 to 200 emails a day and need a draft in the right voice waiting for them, not a sent reply they find out about later. The hard part is not the drafting model, it is routing: which thread gets a draft, which gets silently filed, and which escalates. Get that wrong and the assistant makes more work, not less.

The stack

Each pick is a real entry on the index. Click any one for the full detail page.

  1. 1
    P Apps Runtime

    Lindy

    by Lindy AI

    Why this: Lindy gives you a working agent runtime with native email integration in hours. The visual flow builder maps directly to the triage decision tree: label this, draft that, escalate the other. Non-engineers can adjust the routing logic without touching code.

    Full entry
  2. 2
    M MCP Email surface

    agentmail-toolkit/mcp

    by Various

    Why this: AgentMail's MCP server lets the agent create, read, send, and act on real email messages programmatically. It is built for agents rather than bolted onto a human email client, so the interface is clean and the send path is explicit, not accidental.

    Full entry
  3. 3
    S Skills Voice match

    Internal Comms Skill

    by Anthropic

    Why this: A voice skill is the difference between drafts you edit lightly and drafts you rewrite. This skill gives the agent a structured contract for tone and format. Fork it once into your own voice profile and every draft inherits it without re-prompting.

    Full entry
  4. 4
    O OSS Orchestration

    LangGraph

    by LangChain

    Why this: Triage has shape: read, classify, decide, draft, hold for approval. LangGraph encodes that as an explicit state machine you can inspect when a run goes wrong. It also handles the async wait at the review step without polling hacks.

    Full entry
  5. 5
    M MCP Context store

    Notion MCP Server

    by Notion

    Why this: Customer notes, past threads, and project context live in Notion. Pulling the relevant snippet before drafting is what makes a reply feel informed rather than generic. The Notion MCP server makes that lookup a one-tool call.

    Full entry
Why we picked this stack

Get this running with Enterprise DNA.

Enterprise DNA closes the loop that every standalone email-assistant stack leaves open. The drafts waiting for approval surface in the operator inbox. The threads that got filed or escalated show up as CRM activity. Each run is tracked as a job in OPM so you can see whether the assistant is handling volume or generating noise. Secrets for the email OAuth tokens live in Infisical, not in an env file that gets committed. The whole thing is one project, not five disconnected tools you check separately.

Run this stack on Enterprise DNA
Free Blueprint

Get the Stack Blueprint

A printable architecture card with every tool, role, and rationale on one page.

Enter your email. We send one useful update per week. Unsubscribe any time.

Alternative stacks

Different angles on the same outcome.

Alternative

Personal inbox assistant

If the goal is one person's inbox with a hard never-send rule, the personal-email-assistant stack is a tighter fit with stronger safety rails.

See the alternative Alternative

Sales outreach agent

When the email volume is outbound prospecting rather than inbox triage, the sales outreach stack includes the CRM write-back and phone qualification layer you will need.

See the alternative Alternative

Customer support agent

If the email volume is inbound support tickets that need to route against a knowledge base and update a CRM record, the customer support stack handles that pattern more directly.

See the alternative

Other use cases

More curated stacks from the index.

Use case

Build a customer support agent

A working customer-support agent that triages tickets, answers from your docs, and escalates with full context.

See the stack Use case

Build a research agent

An agent that watches sources, synthesises findings, and ships you a briefing on the days something matters.

See the stack Use case

Build a sales outreach agent

An outreach agent that drafts personal-feeling email, qualifies replies on the phone, and updates the CRM without anyone copy-pasting notes.

See the stack