OpenAI Adds ‘Company Knowledge’ Feature to ChatGPT

OpenAI has launched a new enterprise-focused capability called “Company Knowledge” in ChatGPT, designed to help organizations securely integrate their internal data into the chatbot for contextual and compliant use. The feature aims to transform how businesses interact with AI systems by providing contextually aware answers based on company-specific information, while maintaining strict data security controls.

The new functionality allows enterprise users to connect ChatGPT with approved internal resources such as company documents, knowledge bases, wikis, or approved SaaS tools. Once connected, ChatGPT can pull relevant, up-to-date information to deliver precise and context-rich responses. According to OpenAI, this development is intended to help employees access institutional knowledge faster, minimize repetitive queries, and streamline collaboration across departments.

OpenAI described “Company Knowledge” as a step toward building a more intelligent enterprise assistant that understands both general and organizational contexts. The company emphasized that all data connections are optional, encrypted, and remain under the customer’s control. ChatGPT does not use this data to train its public models, ensuring compliance with corporate privacy and security standards.

In its official announcement, OpenAI highlighted that this feature is available for ChatGPT Team and Enterprise users, with integrations extending to platforms like Google Drive, Microsoft 365, Confluence, and Slack. These connections allow ChatGPT to surface relevant answers from approved repositories while maintaining real-time accuracy and version control.

An OpenAI spokesperson said the goal of Company Knowledge is to help businesses move from static documentation systems to dynamic, AI-assisted knowledge retrieval. “Most employees spend hours searching for internal information that already exists somewhere within their organization. This new capability helps break down those silos,” the spokesperson said.

The addition is part of OpenAI’s ongoing effort to strengthen ChatGPT’s role in the workplace. With increasing adoption among enterprise users, the company has been expanding its business offerings, focusing on data governance, collaboration tools, and compliance-driven AI adoption. Company Knowledge is expected to enhance ChatGPT’s utility as a productivity companion rather than a general chatbot.

Experts believe the feature could redefine enterprise search and digital assistance. By making ChatGPT capable of referencing organization-specific content, OpenAI is positioning it as a centralized access point for corporate intelligence. “This move brings ChatGPT closer to becoming a true enterprise AI agent,” said an AI analyst. “It’s no longer just answering general questions but contextualizing those answers based on proprietary company data.”

Security and privacy remain at the forefront of OpenAI’s enterprise strategy. The company has reiterated that all data shared through Company Knowledge connections are isolated within the organization’s workspace and not transmitted to external systems. Customers retain full control over which documents and datasets are accessible.

Organizations can manage permissions, define access tiers, and monitor data interactions through the OpenAI Admin Console, ensuring transparency and compliance with internal IT policies. The feature also supports identity-based authentication and integrates with Single Sign-On (SSO) systems to maintain enterprise-grade security.

For enterprise clients, this capability could significantly reduce the friction associated with knowledge management and onboarding. Instead of navigating through hundreds of documents or portals, employees can ask ChatGPT questions in natural language and receive instant answers grounded in their company’s verified data sources.

The release of Company Knowledge comes amid rising competition in the enterprise AI market. Microsoft’s Copilot, Google’s Gemini for Workspace, and Anthropic’s Claude for Business are also emphasizing secure integrations with company data. OpenAI’s approach, however, focuses on flexibility and privacy, offering a single interface that adapts to multiple organizational ecosystems.

Analysts note that OpenAI’s decision to integrate Company Knowledge directly into ChatGPT, rather than through a separate enterprise product, demonstrates its intent to make contextual intelligence a core part of everyday workflows. The feature builds on earlier enterprise advancements, including custom GPTs, shared workspaces, and enhanced data protection layers introduced in recent months.

OpenAI’s recent enterprise updates reflect a broader trend of AI vendors moving toward AI agents capable of reasoning within specific organizational environments. Company Knowledge allows ChatGPT to move beyond general understanding into domain-specific problem-solving—an essential capability for knowledge-intensive industries such as consulting, technology, finance, and healthcare.

The feature also integrates smoothly with ChatGPT’s existing APIs, enabling businesses to develop custom applications that use internal data within their AI workflows. This could include automating customer support, generating business reports, or assisting with technical documentation, all while maintaining compliance with enterprise data governance frameworks.

Industry observers suggest that this development may accelerate AI adoption among mid-to-large organizations that were previously hesitant to share internal data with external AI systems. The combination of secure integration, transparent controls, and OpenAI’s established enterprise infrastructure could make Company Knowledge a key differentiator in the competitive enterprise AI space.

By allowing organizations to connect their proprietary data while maintaining ownership and privacy, OpenAI is positioning ChatGPT as a context-aware enterprise assistant capable of augmenting knowledge workers at every level. The move signals the company’s broader ambition to embed generative AI more deeply within the business fabric—where intelligence, context, and security converge to reshape enterprise productivity.