Yes, On-Premise AI is worthwhile for many SMEs, especially if you have strict data protection requirements, need Swiss data sovereignty or must comply with regulatory standards.
When is On-Premise AI worthwhile for SMEs?
Compliance requirements
On-Premise required for:
- Regulated industries (banks, law firms, accountants, healthcare)
- Compliance requirements (FINMA, GDPR, HIPAA)
- Swiss data sovereignty – data stays in the country
- Sensitive business data – contracts, client data, health data
Advantages:
- Cloud solutions often don’t meet compliance requirements
- On-Premise is often the only legally secure option
Data protection and confidentiality
On-Premise means:
- Data stays with you – no sharing with third parties
- No US cloud providers – no access by foreign authorities
- Full control over access, backup and deletion
- No token logs with external providers
Data sovereignty
Swiss SMEs benefit from:
- Physical data localisation – servers in Switzerland
- Swiss law as the standard for data protection and contracts
- Independence from global cloud strategies and price developments
Typical SME scenarios
Scenario 1: Law firm
Team: 2–25 lawyers
Requirements: Confidentiality, client protection, GDPR
On-Premise: Required for compliance
Scenario 2: Accountant / bookkeeping firm
Team: 5–20 employees
Requirements: FINMA, tax data, business secrets
On-Premise: Sensible to required for compliance
Scenario 3: Banks and authorities
Requirements: Strict regulation, national security
On-Premise: Often the only option
Decision factors
1. Data protection requirements
High requirements (On-Premise sensible):
- Regulated industries
- Compliance obligations
- Sensitive business data
Low requirements (cloud possible):
- Public or non-critical data
2. Sovereignty and independence
On-Premise offers:
- No dependence on cloud pricing models
- Predictability and control
- Swiss law as basis
Costs
For concrete cost examples and scenarios see How much does it cost to run AI yourself?.
Next steps
Contact us – Get advice
Sources and further information:
- Which data should never go to the cloud – Data protection risks
- On-Premise AI for SMEs – Practical guide for SMEs