Private Offline AI Assistant

The private AI environment and the approved knowledge sources are deployed on infrastructure the organization controls, so the model runs inside that environment rather than calling out to a public AI service. This supports on-premises, private-network, and air-gapped deployments where an outbound connection is restricted or unavailable.

An air-gapped deployment places the private language model, the approved company documents, and any permitted business-system connections entirely inside the organization's isolated environment. Info-Power International configures the software stack, connects the approved sources, and sets role-based access. Updates and new knowledge sources are then introduced through the organization's own controlled process.

A private offline AI assistant keeps its approved documents, knowledge bases, and model interactions within infrastructure controlled by the organization. AI-ABW is designed not to send company data to public AI systems. Access can be configured around approved information and employee roles, helping organizations maintain stronger control over confidential business knowledge.

AI-ABW can be configured to use approved company documents, procedures, software documentation, and other internal knowledge sources. Employees can ask natural-language questions and receive answers grounded in that approved information. The content and access model should be defined during configuration so the assistant reflects the organization’s knowledge and governance requirements.

AI-ABW can connect to approved data from ERP, MRP, distribution, manufacturing, SQL Server, and other supported business systems. These connections can be limited to selected data subsets and read-only access. Authorized employees can then ask questions and receive summaries or analysis while operational systems stay under existing controls.

Role-based AI knowledge access can limit employee groups to the documents, procedures, and approved business data relevant to their responsibilities. This supports more controlled internal use and helps organizations avoid giving every user the same information access. The specific roles, sources, and permissions are established as part of the configuration.

The service catalog identifies air-gapped deployment options for private LLM deployment and configuration. Air-gapped environments are appropriate for organizations that require AI to operate within a separated infrastructure. The deployment must be planned around the customer’s hardware, network design, approved knowledge sources, security controls, and internal access requirements.

Setup can include configuring the private AI software environment, connecting approved company knowledge and data sources, establishing controlled access, and preparing the system for internal employee use. The exact scope varies by deployment model and business requirements. AI-ABW offers consultation and configuration for organizations evaluating on-premises, air-gapped, or private-network use.