From documents to code to internal assistants – data-protection compliant and high-volume.
On-Premise AI is used where sensitive data, high usage and predictable costs are decisive.
Typical use cases
Document analysis Contract review, summaries, version comparison (e.g. law firms, accountants, compliance)
Code assistance & agentic coding Code generation, reviews, bug fixes, documentation (very high usage → fast amortisation)
Internal chatbots & knowledge search Chat over contracts, policies, internal documents (RAG)
Invoice & financial analysis Invoice processing, reports, SQL queries (financial & business data stays internal)
Email & customer communication Summaries, reply suggestions, prioritisation (high volume, sensitive content)
HR & recruiting CV screening, skill extraction, matching (personal data, DPA/GDPR relevant)
Why On-Premise for SMEs?
- Sensitive data stays internal
- No token or user costs
- Better scalability with high usage
- Cloud gets expensive quickly with code, documents and analysis
In short
Everything that is regular, data-intensive and confidential is ideally suited for On-Premise AI – from SME to enterprise.
For an individual assessment or cost calculation: Please contact us.
Next steps
- SMALL · MEDIUM · LARGE – Choose platform
- Contact us – Individual use case consultation
Sources and further information:
- How much does it cost to run AI yourself? – Costs and scenarios
- ERP, CRM and document integration – Integration
- Is On-Premise AI worthwhile for SMEs? – Compliance and data protection
- On-Premise AI for SMEs – Use cases and application examples