Customer service
AI for customer service replies
Write approved answers to your 20–30 most common questions, plus your policies and tone rules, and let an AI tool suggest replies that an agent reviews, edits and sends. Start with low-risk topics such as delivery times and returns. Keep a person on every reply at first, and automate only where answers are stable and checked.
Effort:
Medium
Time saved:
Often 30–50% less time per reply (estimate; measure in a pilot)
The problem today
The same questions about delivery, returns and stock arrive every day by email, chat and social media. Replies are slow at peak times and depend on who happens to answer.
How it works, in plain words
It is like a new colleague who has learned your answer sheet by heart and drafts replies, while an experienced agent decides what gets sent.
What goes in: your approved answers to the most common questions, your policies, your tone rules and the customer's message.
What the AI does: it reads the message, finds the matching approved answer and drafts a reply in your tone, adding order details where the tool connects to your system.
What a person checks: an agent reads every draft, corrects it and sends it. Exceptions and complaints go to a person.
What comes out: faster, consistent replies by email, chat or social inbox, plus a list of new questions to add to the answer sheet.
It should not decide refunds, exceptions or anything that is not covered by your approved answers.
How it could work for businesses like yours
Illustrative examples, not client case studies.
A 20-person electronics e-shop in Katerini
Two people answer around a hundred messages a day, mostly about delivery and returns. They would write approved answers for the top 25 topics and use AI drafts in their helpdesk, with every reply checked. They would track average reply time and how much agents edit each draft.
A car rental office on Kos
In summer, staff answer the same questions about insurance, deposits and pick-up in four languages. They would load their policies and approved answers, let AI draft replies in the guest's language and have staff send them. A first target could be same-day replies to every booking question in July and August.
A 5-person social media agency in Lamia
They manage comments and messages for local businesses, and answers vary depending on who replies. They would keep an approved answer sheet per client and use AI for drafts that the community manager checks. They would measure response time per client and how many replies need escalation.
How to do it, step by step
List the top questions. Pull a month of messages and group them by topic. A handful of topics usually covers most of the volume.
Write approved answers. For each topic, write the correct answer and policy once, including exceptions. This becomes your source of truth.
Set tone rules. Define the greeting, level of formality, sign-off, when to apologize and what never to promise.
AI drafts, a person sends. The agent opens the customer message, the AI drafts from your approved answers, and the agent checks and sends.
Define handover rules. Complaints, refunds above a set amount, legal threats and upset customers go straight to a person.
Pilot for 4–6 weeks. Track response time, edits needed and customer satisfaction before automating anything.
Tools to consider
Gorgias: help desk built for e-shops, especially on Shopify, with AI-suggested replies that use order data. Caveat: it is focused on e-commerce and less suited to service businesses.
Zendesk or Freshdesk: mature help desks with AI reply suggestions and routing. Caveat: setup and AI add-ons can be more than a small team needs.
HubSpot Service Hub: shared inbox and AI help linked to your CRM contacts. Caveat: most useful when sales and marketing also run on HubSpot.
Microsoft 365 Copilot in Outlook: drafts replies inside the inbox you already use. Caveat: it only follows your policies if you give it the approved answers.
Data protection and GDPR
Customer messages are full of personal data: names, addresses, order details and sometimes health or payment information. Use tools that offer a data processing agreement and lawful transfers outside the EU, and never paste customer messages into personal AI accounts. Share only what the reply needs. If customers talk to an AI chatbot directly, tell them clearly; the EU AI Act's transparency duties for such systems phase in through 2026–2027. Large-scale processing combined with automation may require a DPIA. Check with your DPO or legal advisor before going live.
Mistakes to avoid
Letting the AI answer without approved source answers, so it invents policies or delivery promises.
Removing the human check too early, before you know where the drafts go wrong.
Using a personal ChatGPT account with real customer messages and no data agreement.