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The project at a glance

From the blocker to what changes.

The starting point, the work delivered and what the client ultimately receives.

AI & Automation

01Starting pointStart02What we buildWork03What is deliveredDelivery
questioncontext
A customer writesat 11pm, on a Sunday
From the websitethe bubble is already there
From WhatsAppor Facebook
The assistant answerswith your rules
It pins down the needand qualifies the request
It hands overwhen it is no longer enough
Scoped answerwithin the defined limits
A call back is asked forwith the context
An appointment is setor picked up on WhatsApp
The assistant settles the simple ones and passes the rest to a person, with the context.
Online platform AI & Automation

AI assistants to automate customer support within an agreed service level. Framed answers, with human handoff for requests outside the defined scope.

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Official logo: SUPPIA SUPPIA Designed in Belgium

Belgian companies lose opportunities every night and weekend when no one answers. Suppia is an online platform that installs AI assistants able to handle defined requests across several channels and pass the others to a person.

Image for the Suppia project
Problem addressed for Suppia: the situation before the digital solution.

The problem

Requests continued after closing

In the evenings and on weekends, a prospect could write without receiving a response when his need was most present.

Classic bots blocked the conversation

A rigid answer did not always understand the question and did not know how to properly convey the request to a person.

Solution built for Suppia: the new digital workflow in use.

The solution

The assistant resolves simple requests

It responds with company information and policies, then clarifies the need when the request lacks context.

The human resumes with the right information

When the situation requires it, the relay prepares a callback, an appointment or a resumption on WhatsApp without losing the conversation.

Role Founder and technical manager
Kind Embeddable AI Assistant
Status Live
01

Market validation

Before the prototype, exploratory conversations mapped out-of-hours requests and the cases requiring human handoff. No request volume is published without verifiable data.

02

A resilient technical foundation

A technical base that handles peaks in traffic without intervention. Capacity, costs and availability are monitored in the actual deployed environment. Sources, logs and escalation rules remain controllable; no service level is claimed without measurement and a contractual commitment.

03

Conversational AI

An assistant tested on the defined requests and connected to approved information. Responds naturally in French, Dutch and English. The natural language understanding model is able to handle spelling errors, SMS language and implicit questions.

It automatically detects the message language and responds in the same language without additional configuration.

04

Marketing

Pilots support iteration from real feedback. Setup time depends on channels, sources and approvals. Prioritize immediate value over features. Feedback is used to adjust the scope.

Suppia handles requests covered by configured scenarios and sends the others to a person. The volume actually handled must be measured in each client's own data.

Quote Defined service level
Escalation To you when needed
Appointment Taken by the assistant
Your data What it relies on

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