AI customer service for SMEs
Support always receives the same questions. AI absorbs them and frees the team for cases that really deserve a person.
Today
slow, repetitive
Same handwritten answers
With AI workflow
quick, filtered
Easy solved, delicate to the team
The problem,
how it presents itself
I do.
In a customer service the fatigue is not in complex cases, it is in the volume of simple ones. The easy requests are the majority and consume the best attention of the team: when the delicate case arrives — a complaint, an important customer who risks leaving. the respondent is already tired and late.
An AI level in front of the support flips the order: it absorbs the repetitive and makes sure that people see first what matters. It's important to be honest about what you don't have to do: you don't have to handle angry complaints, disputes, or customers. On those cases the agent recognizes the tone and immediately passes the conversation to a human.
He understands the problem, responds in a consistent tone using the knowledge base, proposes a solution, opens a ticket if needed and passes delicate cases to the human. Filters and accelerates, does not replace.
How it works, step by step
01
Understand the request
Interpret the message and compare it to the business knowledge base, not generic responses.
02
Resolve or forward
The standard requests close them immediately; on everything else it opens a ticket with the context already rebuilt.
03
Recognizes delicate cases
If it detects a complaint or critical tone it interrupts the automation and calls a person.
04
Learn from the team
The correct answers given by the operators fall within the knowledge base and improve the system.
Who it is for
- E-commerce with recurring requests on orders, shipments and returns
- Service companies with after-sales service
- SMEs that cannot afford to staff customer support 24 hours a day
Prove it
The demo runs in the browser, with real logic and simulated data.
No registration, no data of yours to enter: it serves to make you understand the mechanism before talking about it.
Interactive Demo
AI customer service for SMEs, in operation.
In the Lab there are other tools that run the same way: quotes, knowledge base, lead scoring, customer care, data entry.
Explore the other toolsFrequently asked questions
Do customers notice talking to an AI?
Yes, and they must. Hiding that it is an automatic system is counterproductive and in many contexts incorrect: the agent shows up as an assistant and always offers the switch to a person.
What happens if the AI can't answer?
Not sudden. Opens a ticket with all the context already collected and passes it to the team, which starts from an already educated situation instead of from scratch.
Do you need to have a knowledge base already?
You need to have some material: FAQ, procedures, ticket history. If there is nothing structured, the first part of the project is to build it — and it is a work that has value even regardless of AI.
Read more about the service: AI agents.
Let's talk
Lighten my support
Half an hour to see if your trial really lends itself.