Secure AI Integration Services

Examples include connecting a private AI assistant to approved ERP or SQL Server data, allowing employees to ask natural-language questions about inventory or sales, and creating department-specific assistants for procedures and documentation. AI integration can also include private LLM deployment, role-based knowledge access, grounded document search, and read-only business-data analysis within a controlled environment.

AI-ABW can integrate with approved ERP, MRP, SQL Server, distribution, manufacturing, sales, inventory, purchasing, and other supported business-system data. It can also use approved company documents, software documentation, procedures, technical information, and department knowledge. The exact connection depends on the systems, data sources, permissions, and information your organization chooses to make available.

AI-ABW is designed for private deployment, allowing organizations to keep company knowledge, documents, business data, and model interactions within infrastructure they control. On-premises, private-network, and air-gapped options are available for appropriate environments. This approach avoids sending approved company information to public AI services and supports controlled internal use.

AI-ABW can connect to approved ERP and other business-system data so authorized employees can ask natural-language questions and receive answers, summaries, or analysis. Integrations can be configured around selected data subsets and controlled, read-only access. This lets users explore business information while records in the source 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. Department-specific assistants can also be configured around a particular team’s information. These controls help organizations provide useful internal AI access while maintaining boundaries around confidential, proprietary, or otherwise restricted knowledge.

A private LLM deployment runs an AI model within infrastructure controlled by the organization rather than relying on a public AI service. AI-ABW can configure private environments for internal documents, procedures, software documentation, and approved business data. Deployment options include on-premises, private networks, and air-gapped environments, depending on the organization’s operational and security requirements.

AI-ABW supports controlled, read-only connections to approved business data. Authorized users can ask questions and receive summaries or analysis while the AI is prevented from independently updating or changing the underlying business system. This approach is useful for organizations that want natural-language access to information while preserving existing operational controls and data governance.

Projects can begin with a consultation to identify the business systems, documents, employee groups, and approved data sources involved. The discussion can clarify whether an on-premises, private-network, or air-gapped environment is appropriate and whether the priority is knowledge assistance, ERP questions, or business-data analysis. A demonstration and consultation are available upon request for applicable private LLM deployments.