AI consulting in Zurich
Updated: 2026-11
For companies in Zurich we combine practical AI with governance: assistants that answer from your own documents with citations, AI integrated into CRM, ticketing or Microsoft 365, and an inventory and risk classification that stand up to FINMA guidance and the EU AI Act. Swiss hosting is available where data requires it.
Your region: Zurich
Zurich’s financial and insurance sector works under FINMA Guidance 08/2024 on AI governance, which expects institutions to know their AI applications, classify risks, assign responsibilities and test results. Companies outside the financial sector face similar expectations from the EU AI Act when they serve EU customers.
We build AI solutions so that they arrive with the documentation governance needs, rather than adding it later. Our Zug base is about thirty minutes from Zurich.
How we deliver
Answers with citations
Assistants answer only from retrieved passages and show the source, so users can verify and errors become visible.
Inventory by default
Each AI application is recorded with purpose, data, model and owner as it is built, feeding your AI inventory.
Measured before launch
A fixed set of real questions with verified answers serves as a test bench; every change is measured against it.
Why Innopulse
- —AI used daily in our own products.
- —Own tools for AI inventory and risk classification.
- —About thirty minutes from Zug to Zurich.
Parent service: AI consulting & integration
Matching offers
AI chatbot on your own data
An AI chatbot on your own data answers questions from your documents, policies, product information or knowledge articles and cites the source. For customers on the website or staff on the intranet, with a permission concept, hosting in Switzerland or the EU, continuous quality measurement and the transparency notice the AI Act requires.
AI opportunity assessment
The AI opportunity assessment answers one question: where does AI bring measurable benefit in your company, and where not? We capture workflows with business units, rate use cases by benefit, feasibility, data and risk, and recommend the two or three worth doing first, classified under the AI Act and data protection.
Building AI governance
AI governance gives your handling of AI a repeatable structure: an AI policy, a risk inventory, clear roles and a lifecycle process — oriented to ISO/IEC 42001. The result is the organisational backbone that produces the records the AI Act requires, audit-ready and durably.
More regions
AI consulting in Munich
For companies in Munich we assess AI use cases, build retrieval-based assistants and integrate language models into existing systems. Every project includes classification under the EU AI Act; in Germany, the KI-MIG has made the Federal Network Agency the central market surveillance authority since July 2026, with BaFin covering the financial sector.
AI consulting in Berlin
Berlin startups often ship an impressive AI demo and then struggle in production: answers drift, costs grow with usage, and enterprise customers ask about the AI Act. We help take AI features to production with a test set, cost tracking per feature, guardrails and a documented AI Act classification, in English.
AI consulting in Vienna
Vienna hosts international organisations, NGOs and regional headquarters that work across many languages and large document collections. We build multilingual knowledge assistants that answer from your own documents with citations, respect access rights and keep data in the EU, with clear rules for confidential material.
Compliance assessment in Zurich
International companies in Zurich often answer to Swiss and EU law at the same time. Our compliance assessment establishes which duties actually apply under the Swiss FADP, the GDPR, the EU AI Act, the European Accessibility Act and cyber reporting rules, rates the gaps and delivers a prioritised plan in English.
FAQ
Can AI models run in Switzerland?
Yes. Some providers operate Swiss data centres, and open models can run on Swiss infrastructure. Which option is sufficient depends on the task.
What does FINMA expect regarding AI?
Guidance 08/2024 sets expectations on governance, inventory, risk classification, data quality, testing, explainability and outsourcing. It is supervisory practice rather than law, but it is applied in supervision.
Where do we start?
With an opportunity assessment that rates use cases by benefit, data and risk, and selects two or three worth building.