You already use AI for your own writing, and the replies to customers look like the obvious next job to hand over. When you paste a customer’s email into a chat and ask for a reply, the draft reads well, and then you notice it has the delivery date wrong, offers a price you would not give that customer, or answers in a way your business does not speak. This page explains which information a customer reply depends on, how to give the AI that information once so every draft starts from it, and what the AI should be allowed to do with your email.
Why a reply written from the email alone goes wrong
An email from a customer carries the question, and rarely the
facts needed to answer it. To reply to “where is my order?”,
someone on your team looks up the order, checks the date that
was promised and knows how you handle a late delivery. To reply
to a request for a better price, they know what this customer
already pays, what you allow and who can agree to an exception.
The AI has none of that unless it is given to it, so it fills
the gaps with a plausible answer written in general terms.
That is why the drafts need so much checking. The person
reviewing one has to find the facts, correct them and adjust the
tone, which often takes as long as writing the reply. Most of
the tools you will find when you search for this connect the AI
to your inbox and, sometimes, to your customer records. That
gives it the conversation, and it still leaves out your rules,
your exceptions and the way you word things, which usually sit
in people’s heads and in old emails.
What a reply depends on
The emailThe reply needsWhere it is today
“Where is my order?”Order and deliveryOrder statusThe date promisedHow you handle a late deliveryYour order systemAn earlier email
“Can you do a better price?”PricingThis customer’s termsYour price rulesWho can approve an exceptionThe price listWhat you remember
“It arrived damaged.”ComplaintWhat was sentWhat was agreedHow you usually put it rightPast emailsThe person who handled it
Write down what your replies depend on
The first piece of work is to write down, once, what your team
knows when they answer a customer: the main types of email you
receive, what each reply needs to check, your rules on prices,
refunds and delivery, who can approve an exception, and the
phrases you use or avoid. This fits on a short page in plain
words that your team can read and correct. When a rule changes,
someone edits the page, and every draft after that follows the
new rule.
The way you write comes from your own sent emails. A reply to a
long-standing customer does not read like a reply to a supplier
or to someone who has just enquired, so the examples are grouped
by the kind of person you are writing to, and the AI drafts from
the group that matches. When you change a draft before sending
it, the difference is compared with what the AI wrote, and a
correction you make more than once is added to the written
rules, so the same mistake does not keep coming back.
This is one part of a wider structure: your business knowledge
written down once and read at the start of each task, which we
describe in
what an
AI adoption consultant does.
How a draft is produced
When an email arrives, the AI reads the whole conversation
before it writes anything, including what was said in earlier
messages, and checks whether the question has already been
answered in another conversation with the same person. It then
drafts the reply in your voice from your written rules and your
examples, and leaves it in your drafts for a person to read,
correct and send.
From the customer’s email to the reply
Reads the whole conversation and what was already said
Checks your written rules for this type of email
Drafts the reply in your voice and leaves it in your drafts
A person reads it, corrects it and sends it
The draft is never presented as final. Where the AI is unsure
what the customer is asking, or which rule applies, it says so
and puts the email in a separate list with its best guess and
the reason, so the decision stays with the person who knows the
customer.
What the AI may do with your email
An assistant that answers your customers works inside your
mailbox, so what it is allowed to do there is settled before it
is switched on. In the email assistant we install, the AI
prepares drafts and nothing else: it does not send an email,
delete one or follow a link inside one. Sending stays with a
person because a reply is a commitment to a customer, and a
draft that nobody has read should never become a message the
customer receives.
What the AI does
Prepares the work for a person
Reads the whole conversation
Drafts the reply in your voice
Lists the emails it is unsure about, with its best guess
What it never does
Stays with a person, or is not done at all
Sends an email
Deletes an email
Follows a link inside an email
When an email contains a link, the AI shows it to you and does
not open it. A payment request or a sign-in link from a
sender you do not know is flagged as possible phishing instead
of being followed. We explain how access and approvals are set
for the rest of the business in
adopting AI securely
and on our security page.
Which emails to start with
Start with one type of email that arrives often and is answered
in a similar way each time, such as questions about orders and
deliveries or requests for documents. The rules for it are short
to write down, the drafts are easy to check, and each correction
your team makes shows where the written rules are incomplete.
Some replies are better kept with a person: a complaint from a
customer who is upset, a negotiation on price, anything with
legal or financial consequences. The AI can still gather the
history and the figures for the person writing the reply, which
saves the looking up and leaves the judgement with them. Deciding
which emails stay manual is part of the setup, and the list can
change as the drafts prove reliable.
The first step with us is a free AI pre-audit: 45 minutes on a
call where we look at how you and your team use AI today and
which work is worth handing over first. Bring the emails that
take your team the most time. You leave with a clear next step,
with or without us.
If you decide to go further, we set this up as part of the
Sprint, alongside the rest of your business knowledge and the
access for each role. See how we help and
what we have built for other
businesses, including the email assistant described here. If
your first question is where your emails and customer data would
be stored, we cover that in
AI tools
and your business data in Australia.
The AI AdoptionFree AI pre-audit