Challenge
A generic chatbot may answer but still leave the request stuck. The challenge was to qualify usefully and know when automation should stop.

Case study · Conversational assistant
We designed a neutral chatbot for first-contact requests: answer FAQs, capture useful context, qualify intent and prepare an action or human handoff.
Bonjour, j’ai une question sur votre service.
Bien sûr. Que souhaitez-vous clarifier ?
Je voudrais aussi recevoir une estimation.
Je peux recueillir le besoin et préparer une demande structurée.
Choose a quick scenario or type your own message. The demo simulates qualification, responses and context handoff to a human or connected business tool.
The project turns chat into an operational entry point. Instead of simply replying, the assistant structures the request and prepares the next step.
A generic chatbot may answer but still leave the request stuck. The challenge was to qualify usefully and know when automation should stop.
The journey combines guided answers, free text, a knowledge base and handoff scenarios. Production can connect to CRM, scheduling, ticketing or a live-chat team.
Identify intent, priority and useful context.
Answer from controlled content rather than inventing.
Turn conversations into usable CRM or support data.
Offer a concrete action when a calendar or workflow is available.
Transfer the conversation with context so users do not repeat themselves.
Track intents, drop-offs, handoffs and resolution rates.
The assistant becomes a digital front desk: immediate first response, fewer repetitive questions and cleaner context for the team.