Samia Ziani helps training organization leaders from NDA registration through Qualiopi certification, and sometimes on complex accreditation files. As her business grew, a critical problem emerged: each file required asking the same questions to different clients, then producing lengthy, exhaustive documents. Intellectually repetitive work that simple templates couldn't standardize.
Each Qualiopi file required asking numerous questions to clients, collecting information, often with follow-ups, then drafting an exhaustive multi-page document. This process prevented Samia from taking on more missions.
Clients weren't always available, answers rarely complete on the first try. Questions had to be asked multiple times to get the expected response, creating stress and delays.
Templates had been created but couldn't cover the variety of cases. Automation via Make was considered, but the risk of inadequate responses remained too high.
“I didn't want to commit to something too big. They proposed doing it in stages and that's appreciated because it allows us to evolve the chatbot.
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Deep dive into Samia's methodology to understand her reasoning, key questions and the expected structure of Qualiopi files
Development of an AI chatbot capable of asking the right questions interactively and generating a first draft faithful to Samia's methodology
Data protection protocols implemented from V1, a non-negotiable requirement for Samia in the current AI landscape
Incremental V1 → V2 approach to evolve the chatbot based on field feedback and extend its use to other document types
Deep dive into Samia's methodology to understand her reasoning, key questions and the expected structure of Qualiopi files
Development of an AI chatbot capable of asking the right questions interactively and generating a first draft faithful to Samia's methodology
Data protection protocols implemented from V1, a non-negotiable requirement for Samia in the current AI landscape
Incremental V1 → V2 approach to evolve the chatbot based on field feedback and extend its use to other document types
An AI agent that replicates Samia's reasoning: asks the right questions, guides the client step by step, and adapts to responses to dig deeper when needed.
From collected answers, the chatbot produces a comprehensive first draft, faithful to Qualiopi structure and requirements.
The architecture allows reusing the chatbot for other types of deliverables. One tool for multiple consulting missions.
The tool you built isn't just for one thing. I can use it for other documents too. That's the real value PeakLab brought.
The tool you built isn't just for one thing. I can use it for other documents. You built a tool that could answer one document need, but I realize I can use it for other documents too. That's PeakLab's added value.
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