Customer care

AI for customer care: 24/7 customer support for SMEs

Repetitive tickets piling up, calls dropped during peak hours, opening times that never quite match when customers actually need help: these are the everyday problems behind every AI for customer care project we build for an SME. A conversational agent answers frequent questions right away, opens and routes tickets to the right channel, and stays available around the clock, weekends and traffic spikes included, without forcing you to grow the support team. The agent never works in isolation: it reads the customer's history, recognises when a request goes beyond what it can handle, and hands the conversation over to an operator with the full context already gathered, so the customer never has to repeat themselves. Athics builds these agents on Crafter.ai, the proprietary platform we use to design, train and deploy conversational automations for customer care, connecting them to the channels a business already relies on: website, WhatsApp, email and phone.

Customer care: real-world use cases

First-level chatbot

An AI chatbot on the website and WhatsApp solves the most common requests — order status, returns, opening hours, terms — and collects data for second-level support.

Voicebot for the switchboard

A voicebot answers the phone, qualifies the request and routes it to the right person, removing queues and missed calls.

Self-service on orders and files

Integrated with your ERP or CRM, the AI agent looks up orders, shipments and case files and answers customers with real-time data.

AI benefits for your SME

24/7 support
Customers get answers outside business hours and during peaks, without growing the support team.
Fewer repetitive tickets
Frequent questions are solved autonomously by the AI agent, cutting the volume of low-value tickets.
Consistent answers on every channel
Website, WhatsApp, email and phone share the same knowledge base: customers always get the same correct answer.
More productive operators
Smart escalation brings operators only the complex cases, with the full conversation context already collected.

FAQs about AI and Customer care

How much of customer care can an AI agent handle on its own?
In most Athics projects, the AI agent resolves the bulk of repetitive requests on its own — order status, opening hours, frequent questions — and leaves operators only the cases that need human judgement, already handed over with full conversation context.
What are the steps of an AI customer care project, from idea to production?
The path starts with mapping existing support flows, continues with configuring the agent on Crafter.ai, and ends with integration into the channels already in use: in most cases, Athics brings the project live in 4-8 weeks.
Does the AI agent hand over to a human operator?
Yes. Human escalation is part of the Athics project: the agent recognises when a person is needed and transfers the conversation with its full history, so customers never repeat themselves.
Which channels does AI-powered support work on?
The same channels you already use: website chat, WhatsApp, email and phone. The knowledge base is shared, so answers stay consistent everywhere.
What does the cost of an AI customer care project depend on?
Cost mainly depends on the number of channels to integrate (chat, WhatsApp, email, phone), the complexity of integrations with your existing CRM or business software, the volume of requests to handle, and the size of the knowledge base the agent needs to be trained on. Athics puts together a precise quote after an initial review of your support flows, with no hidden costs.

Let's talk about your project

Tell us how you handle customer support today: in a demo we'll show you what AI can automate for your SME.

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