Free Support Audit

Find the leaks in your support workflow.

Adelante reviews your support operation and shows where repetitive tickets, broken macros, WISMO questions, returns requests, and bad bot loops create avoidable work — and which workflows an AI agent should take over first.

Start here

Eight signals your support is leaking.

Before the full audit, check the symptoms you already recognize. Each one maps to a workflow we inspect — and most of them follow rules clear enough for an AI agent to resolve with approved actions.

60-second self-audit
Check every signal that sounds like your inbox
Your read
0/8
Tuning territory

Your process holds up. An audit would confirm which single workflow is worth automating first.

What we look for

Expose the support work your dashboard hides.

Most ecommerce teams know ticket volume is painful. The audit shows which repeat issues create the drag and which ones an AI support agent can handle safely.

Hidden ticket volume

Find repeat questions that hide inside tags, macros, chat transcripts, order edits, DMs, and manual follow-ups.

Broken macros

Spot macros that create extra replies, miss policy details, or force agents to rewrite the same answer every day.

WISMO leakage

Measure where order-status questions still reach the team instead of resolving through connected tracking data.

Returns and refund drag

Find returns, exchanges, reships, and refund requests that need clearer policy handling or faster automation.

Bad bot loops

Identify flows where customers repeat themselves, hit dead ends, or escalate after a weak automated answer.

First AI support wins

Rank the workflows an agent can resolve with approved actions first, without risking customer trust or policy mistakes.

How it works

A fast audit for teams that need relief now.

The process stays practical. We focus on the workflows most likely to reduce ticket load and protect revenue.

01

Share your support stack

Tell us your helpdesk, store platform, support channels, and the workflows that create the most noise.

02

Review the biggest drains

We inspect repeat tickets, macros, WISMO, returns, refund paths, handoff points, and bot failures.

03

Map the first wins

You get a short list of automation opportunities ranked by volume, customer risk, and setup effort.

04

Decide what to automate

Use the audit to choose the first AI support workflow — or fix the support process before launch.

Where the audit digs

Three places ecommerce support leaks first.

WISMO

Order-status questions that should never need agent time.

Returns

Refund, exchange, and reship paths that leak margin.

Macros

Saved replies that still create follow-up tickets.

Audit questions

What ecommerce teams ask before the audit.

The audit gives you a practical view of where AI support can help first and where your process needs cleanup.

Who should request the support audit?

Founders, operators, and CX leads at Shopify and DTC brands — especially when support volume is growing, agents rewrite the same answers, or existing automation creates too many escalations.

Do we need a large support team?

No. The audit is built for SMB ecommerce brands that need practical support relief before the team becomes buried in repetitive tickets.

What do we get from the audit?

A clear read on hidden ticket volume, weak macros, WISMO and returns leakage, bot loops, and the first AI support workflows worth automating — ranked by payback and risk.

Will this replace our support team?

No. The audit identifies the work an AI agent can handle safely with approved actions and escalation rules, and the cases where a human should stay in the loop.