What is the difference between a chatbot and an AI agent?
A chatbot answers questions based on a script or a database. An AI agent is capable of making decisions, taking actions in your systems (sending an email, creating a ticket, querying a database), and completing multiple steps autonomously. For most real business needs, it is the AI agent that delivers the most value.
Do your solutions work for regulated sectors like healthcare or legal?
Yes. European hosting (Hetzner, EU), open-source models deployed in a closed circuit, and the FADP-first design of our solutions make it possible to work in sectors subject to enhanced confidentiality obligations. For medical data or data covered by professional secrecy, we define a functional scope that keeps sensitive data outside the AI processing chain where needed.
How long does it take to deploy a first AI solution?
For a well-defined use case (support agent, automation of a document flow, simple client portal), the typical timeline is 4 to 8 weeks from the first call to production deployment. More complex projects with multiple integrations take 3 to 4 months.
Can my data be used to train an AI model?
No. The data you provide to us or that the system processes is never used to train or fine-tune a model. It stays in your environment. The models we use are open-source models deployed on our EU servers, not proprietary APIs that would absorb your data.
Do in-house technical skills need to be present to use your solutions?
No. Our solutions are designed to be used by business teams without IT skills. The interface is built for non-technical users. If you want your IT team to take ownership of maintenance, we include technical documentation and a skills transfer.
Do you offer support after delivery?
Yes. Our contracts include a post-deployment monitoring period (minimum 3 months) with Q&A sessions and adjustments included. Beyond that, a maintenance contract can be put in place according to your needs.
How do your solutions comply with the Swiss FADP?
The Federal Act on Data Protection (FADP, revised and in force since September 2023) imposes obligations on the collection, processing, and storage of personal data. Our solutions are designed with these requirements as a baseline constraint: no transfer to third countries without guarantees, data minimization, documented access and deletion rights.
Can you integrate AI into our existing tools (ERP, CRM, messaging)?
Yes. The value of an enterprise AI tool depends largely on its ability to integrate with the systems already in place. We work with the APIs of the main ERPs (SAP, Odoo, Microsoft Dynamics), CRMs (Salesforce, HubSpot, Pipedrive), and communication tools (Teams, Slack, email). An integration analysis phase is included in every proposal.
Will AI replace my employees?
The vast majority of AI projects we deploy free up time on repetitive, low-value tasks (data entry, sorting, reports, follow-ups) so that teams can focus on higher-value work. In SME-sized organizations, the typical result is increased capacity without additional hiring, not a reduction in headcount.
Do you have experience with companies in the EPFL or Lausanne ecosystem?
Kleap and its partners are active in the French-speaking Swiss ecosystem. We do not publish named client references without explicit agreement, but we work with SMEs in Vaud, technology startups, and service organizations in Lausanne and the canton of Vaud.