AI? yes, please – but without risk for your sensitive data
AI in every-day business
21 Jan 2026

iStock.com / pingingz
iStock.com / pingingz
3 mins of lecture
It often seems that nothing works without AI anymore. Hardly any software exists today that hasn’t already integrated artificial intelligence or at least announced plans to do so. But does this alwaya make sense? And what happens to sensitive company data in the process? The promise of AI is compelling: it increases speed, quality, and efficiency across almost all areas of a business — from sales and service to product development. However, standard AI solutions from the public cloud pose a risk for many organizations. Confidential information, personal data, and protected know-how must neither leave the company in an uncontrolled manner nor end up in external training pools. The answer is self-hosted AI with direct, controlled access to your company data — operated within your own IT environment or in a dedicated data center. Selected and designed based on in-depth consulting by Bordmittel®.
What does “self-hosted AI” actually mean?
“Self-hosted” means that the AI system runs in an environment fully under your control — on premises, in a private cloud, or in an ISO-certified data center with tenant separation.This includes:- Model serving: Provision of suitable language, vision, or embedding models.
- Data interfaces: Secure connections to DMS, ERP, CRM, ticketing systems, wikis, and file shares.
- Access layer: Authentication, role- and permission management, logging.
- Governance: Policies, audit trails, GDPR-compliant processing, deletion concepts.
Use cases for self-hosted AI
AI already offers a wide range of possible applications — and the same applies to self-hosted AI.Because a self-hosted AI is directly connected to your internal data sources, it can access documents, systems, and relevant information without delays or detours. This not only enables fast and precise responses, but also allows the AI to be individually adapted and fine-tuned to your company’s specific knowledge base and processes — without compromising security or data protection. For example, an AI can act as a knowledge assistant in sales. Employees ask questions such as “Which contract clause applies to project X?” — the AI searches authorized knowledge sources and provides citable answers with references. It can also automatically generate summaries of offers, competitive analyses, and product comparisons directly from your product and pricing data. AI can also be highly effective in service and support: it can suggest solutions for tickets, summarize long customer histories, or generate FAQ articles that can be transferred directly into knowledge bases. Documentation, release notes, and runbooks can be created automatically from your systems. Depending on the industry and organization, many additional meaningful use cases are likely. Bordmittel® will be happy to advise you on this.How does AI access your company data?
Instead of working with a generic, externally trained AI, a self-hosted AI solution is directly connected to your existing data sources:- Documents, reports, and knowledge bases
- Emails and internal communication (if required)
- ERP, CRM, or DMS systems
- Project data and technical specifications
