Custom AI agents Geneva & French-speaking Switzerland
A virtual employee that works 24/7. And never complains.
Your repetitive tasks automated, your customers answered, your data analysed. Designed for SMBs in French-speaking Switzerland, operational in 2 weeks.
Offer updated: April 2026
ChatGPT
Claude
Gemini
Copilot
Perplexity
Midjourney
Grok
Meta AI
DeepSeek
Gamma
Nano Banana
24/7
Agent availability, no leave and no fatigue errors
90%
Of requests handled without human intervention
2 wks
For a first operational agent
Trusted by
AI agent vs chatbot: why companies are switching to intelligent agents.
A chatbot follows a fixed script and replies by keywords. A true AI agent reads the full context of every situation, makes autonomous decisions and executes concrete actions inside your tools. The difference is fundamental for your results.
Three types of agents deployed for our clients
Qualification agent
Customer support agent
Data analysis agent
The AI technologies we master for your custom agents.
We build your agents with the best building blocks on the 2026 market. The choice depends on your use case, your budget and your sovereignty constraints (FADP, GDPR, Swiss hosting).
LLM models
Claude Opus 4.7 (Anthropic)
Long reasoning, document analysis, tool use. The best choice for sensitive business agents.
GPT-5 (OpenAI)
Multimodal agents: text, image, voice. Large integration ecosystem.
Gemini 3 (Google)
Native Google Workspace integration. Perfect for teams already on Gmail, Drive, Docs.
Orchestration
LangChain
The reference framework for chaining LLM calls, tools and memory.
LangGraph
Orchestration of complex agents as a graph: routing, validation, escalation.
n8n / Make / Zapier
Connects your agents to Bexio, Salesforce, HubSpot, Google Workspace, WhatsApp.
Vector stores (RAG)
Pinecone
Managed vector DB, high performance, ideal for large knowledge bases.
Weaviate / Qdrant
Open-source alternatives, self-hostable in Switzerland for sensitive data.
Cohere & OpenAI embeddings
To turn your private documentation into an agent memory.
For regulated sectors (fiduciary, medical, legal, HR), we also offer Mistral Large 2 and Llama 4 self-hosted on a Swiss server, as well as the sovereign solutions Infomaniak Euria and Swisscom Swiss AI Assistant. Your data never leaves the territory. To compare the 3 mainstream models, read our guide ChatGPT, Claude or Copilot: which one to choose for your SMB.
Our AI agents: sales, support and analysis, connected to your stack.
Three proven patterns, deployable in 2 to 6 weeks, powered by Claude Opus 4.7 or GPT-5 depending on your requirements.
Sales agent
Stack: Claude Opus 4.7 + HubSpot + Bexio via n8n
For whom: Sales teams and SMBs with inbound leads
Estimated ROI
15 hours freed per week on average
Customer support agent
Stack: RAG on a Notion or Confluence base, deployed on WhatsApp Business via Twilio
For whom: E-commerce, SaaS and high-volume services
Estimated ROI
CSAT +25 points in 3 months
Analysis and reporting agent
Stack: GPT-5 or Claude Sonnet 4.6, integrated with Slack + Google Workspace
For whom: Managers and leadership who steer by data
Estimated ROI
3 hours of weekly reporting eliminated
AI agent pricing for SMBs.
Starter agent
Fixed price, turnkey project
Pro agent
Fixed price, turnkey project
Client testimonials: AI agents deployed in Geneva.
“We were receiving 80 to 120 quote requests a week. My team spent two full days sorting and qualifying them. Today the agent filters, replies and files in the CRM in under a minute. We freed up 18 hours a week on a task that had zero added value.”
Marc-Antoine V.
Sales Director, real estate agency, Geneva
“Our customer support was under pressure: 200 emails a day, three people overwhelmed. DKDP deployed an agent in two weeks. Today 70% of requests are resolved automatically. Our teams only handle the genuinely complex cases. The satisfaction score rose by 22 points.”
Sophie B.
Head of Customer Success, B2B SaaS, Lausanne
Your questions about AI agents.
Complete your AI journey
Let's talk about your project
15 minutes, free of charge, and we tell you honestly whether we can help, and how.
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Developing your AI agent in 4 steps.
Scope definition
Together we identify the priority use case, the input and output data, and the business rules that guide the agent decisions.
Build and training
Prompt engineering, connection to your existing tools, iterative testing with your real data. The agent learns your context.
Progressive deployment
Go live on a real subset, with human validation in parallel. We tune it before scaling to 100% of the volume.
Continuous optimisation
Performance monitoring, targeted adjustments and a monthly report for 3 months. Your agent improves over time.