Operations solution

AI Support Email
Resolution Agent

A custom AI support agent that reads every incoming support email, classifies it, looks up the real data, drafts the real reply in your tone, auto-resolves the categories you allow, and escalates only the hard cases with context.

€2K - €7K fixed 3 - 5 weeks €60 - €225/mo running
What changes operationally

Support replies in minutes

For small teams, support stops being the founder's background task. Repetitive questions resolve themselves, complex issues arrive pre-triaged, and response time drops without adding headcount.

Wellness e-commerce + support-heavy teams
Email-first support flows
Read case studies

Why support still feels heavier than it should

Support emails usually land in a shared inbox or, worse, the founder's inbox. Common questions get answered from scratch, order lookups require jumping into another tool, and edge cases sit unanswered for too long.

Most teams fix this by adding a help desk UI, but the hard part never was the UI. It was the thinking, the data lookup, the drafting, and the consistency of reply quality.

A custom AI support agent handles the repetitive 80 percent, escalates the sensitive 20 percent, and gives humans back the part of support that actually needs judgment.

What the support agent actually does

01

Reads every support email

Monitors your support inbox continuously so no message sits unseen because a person was busy.

02

Classifies the issue correctly

Order status, refund, shipping, technical question, complaint, spam, partnership, or any category you define.

03

Looks up the real data

Pulls from Shopify, an order system, your CRM, a sheet, or a knowledge base before drafting the reply.

04

Drafts replies in your tone

Writes complete, context-aware responses that sound like your team, not a generic bot widget.

05

Auto-resolves simple categories

Order status, basic FAQ, or low-risk requests can resolve themselves once you approve the rules.

06

Escalates the hard cases with context

Humans receive the email, the category, the data, and a draft already 80 percent done.

How the build works

WEEK 1

Discovery

We map support categories, tone, data sources, and escalation rules. Output: fixed-price scope.

WEEKS 2 - 3

Ingestion + drafting

Email intake, classification, data lookup, and reply drafting go into a working prototype.

WEEK 4

Auto-resolution + escalation

Low-risk categories, reviewer dashboards, and human handoff rules get wired up.

WEEK 5

Deploy + tune

We go live against your real inbox and tune tone, accuracy, and auto-resolve thresholds based on audited output.

Custom build vs help desk SaaS

Shared inbox Zendesk / Intercom Custom AI Agent
Reply drafting Manual Mostly manual In your tone, with real data
Issue classification Manual Tags + macros Automatic
Data lookup Tab switching Partial Built into the workflow
Auto-resolution None Limited Per category, with controls
Escalation quality Raw inbox forward Ticket handoff Context + draft included
Response time Hours to days Better queueing Minutes

For the broader decision framework, read our custom vs off-the-shelf AI guide.

When the math works

  • +You handle more than 100 support emails per month
  • +A meaningful share are repetitive or lookup-driven
  • +Response time is slower than you want today
  • +You already have order or customer data the agent can read

When it does not

  • -You get only a few support emails each week
  • -Support is mostly phone based
  • -There is no usable source of truth for account or order data

Frequently asked questions

What does a custom AI support agent cost?
Most support email builds land between EUR2,000 and EUR7,000 depending on data complexity, inbox volume, and how much autonomous resolution you want.
Can it connect to Shopify or our order database?
Yes. That is usually the whole point. The agent can pull live order, shipment, or account data before drafting the reply.
Will it auto-send replies on day one?
Not by default. Most teams start with classification and drafting only, then enable auto-resolution for low-risk categories after auditing enough outputs.
How do we keep the tone on-brand?
We tune against your actual sent emails. Tone calibration is part of the rollout, and we review outputs closely during the first live weeks.
Can humans step in easily?
Yes. Every agent needs a clean human handoff path. Hard cases are escalated with all the context and a draft, not dumped raw into somebody else's queue.

Want support email to stop being a founder tax?

Book a free consultation and we will tell you whether support is the right first workflow to automate, what should stay human, and what a fixed-price build would cost.