Private LLM Deployment
Deploy and configure a private large language model on infrastructure your organization controls — on premises, on a private network, or air-gapped — so internal information is never sent to a public AI service.
Build a more controlled approach to enterprise AI with private deployment, governed knowledge access, role-based permissions, and read-only business data analysis. AI-ABW helps organizations keep company information within infrastructure they control while enabling practical answers from approved documents and systems. Designed for businesses that need useful intelligence without sending sensitive information to public AI services.
Private AI deployment, internal knowledge assistance, and governed access to approved business data — built by Info-Power International for internal company use.
Deploy and configure a private large language model on infrastructure your organization controls — on premises, on a private network, or air-gapped — so internal information is never sent to a public AI service.
Set up, configure, and support an AI environment running on customer-owned infrastructure, including the software stack, approved knowledge sources, data connections, and internal user readiness.
Give authorized employees answers drawn from approved company documents, procedures, and software documentation through a private internal assistant used inside the organization.
Connect authorized employees to approved ERP or SQL Server data through controlled, read-only access so they can ask questions in plain language and receive summaries and analysis.
Limit knowledge and data access by employee group so each role works only with the approved information relevant to its responsibilities.
Support summaries, questions, and analysis of approved sales, inventory, purchasing, production, and other operational data. The system reports on your data; it does not change records in your source systems.
AI governance becomes more practical when deployment, knowledge, permissions, and data connections are designed together. AI-ABW supports private LLM environments, role-based access, approved document search, grounded answers, and controlled read-only analysis of business systems. Organizations can give employees useful AI capabilities while keeping confidential information and intellectual property within customer-controlled infrastructure instead of sending it to public AI platforms.
Factual background on the company behind AI-ABW.
Info-Power International has built and supported business software since 1992, giving AI-ABW more than three decades of enterprise system experience behind it.
A privately owned United States company headquartered in Plano, Texas.
AI-ABW runs on infrastructure the customer controls — on premises, on a private network, or air-gapped. Approved information is not sent to a public AI service.
Connections to approved ERP and SQL Server data are role-based and read-only. The system answers questions about your data; it does not change records in your source systems.
A practical technology team with decades of business-system experience.
AI-ABW is the private business AI platform from Info-Power International, Inc., a privately owned enterprise software company founded in 1992 and based in Plano, Texas. For more than three decades the company has built and supported practical software for manufacturers, distributors, engineering firms, and other organizations with complex operational needs, including the ABW ERP product line and integration work across business systems. AI-ABW applies that experience to private AI: authorized employees can ask questions of approved company documents, internal knowledge, and permitted business-system data, and receive answers and analysis without that information being sent to a public AI service. The AI reports and explains; it does not make changes inside your business systems. The team's approach has not changed since 1992 — deliver real capability, charge fairly, and stand behind what it builds.
AI governance tools and solutions help organizations control how AI is deployed, accessed, and used with company information. They can include private infrastructure, approved knowledge sources, role-based permissions, grounded answers, and controlled connections to business systems. The goal is to provide useful AI capabilities while keeping data access aligned with organizational policies and operational requirements.
Talk with the AI-ABW team about controlled enterprise AI.
Share your governance, data access, and deployment requirements for a focused consultation.
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