本文字数：约 10485 字，预计阅读时间：35 分钟
OpenAI launches company knowledge in ChatGPT, letting you access your firm's data from Google Drive, Slack, GitHub
Is the Google Search for internal enterprise knowledge finally here...but from OpenAI? It certainly seems that way. Today, OpenAI has launched company knowledge in ChatGPT, a major new capability for subscribers to ChatGPT's paid Business, Enterprise, and Edu plans that lets them call up their company's data directly from third-party workplace apps including Slack, SharePoint, Google Drive, Gmail, GitHub, HubSpot and combine it in ChatGPT outputs to them. As OpenAI's CEO of Applications Fidji Simo put it in a post on the social network X: "it brings all the context from your apps (Slack, Google Drive, GitHub, etc) together in ChatGPT so you can get answers that are specific to your business."
Intriguingly, OpenAI's blog post on the feature states that is "powered by a version of GPT-5 that's trained to look across multiple sources to give more comprehensive and accurate answers," which sounds to me like a new fine-tuned version of the model family the company released back in August, though there are no additional details on how it was trained. Nonetheless, company knowledge in ChatGPT is rolling out globally and is designed to make ChatGPT a central point of access for verified organizational information, supported by secure integrations and enterprise-grade compliance controls, and give employees way faster access to their company's information while working.
Now, instead of toggling over to Slack to find the assignment you were given and instructions, or tabbing over to Google Drive and opening up specific files to find the names and numbers you need to call, ChatGPT can deliver all that type of information directly into your chat session — if your company enables the proper connections. As OpenAI Chief Operating Officer Brad Lightcap wrote in a post on the social network X: "company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!"
It builds upon the third-party app connectors unveiled back in August 2025, though those were only for individual users on the ChatGPT Plus plans. Connecting ChatGPT to Workplace Systems Enterprise teams often face the challenge of fragmented data across various internal tools—email, chat, file storage, project management, and customer platforms. Company knowledge bridges those silos by enabling ChatGPT to connect to approved systems like, and other supported apps through enterprise-managed connectors.
Each response generated with company knowledge includes citations and direct links to the original sources, allowing teams to verify where specific details originated. This transparency helps organizations maintain data trustworthiness while increasing productivity.
OpenAI confirms that company knowledge uses a version of GPT-5 optimized for multi-source reasoning and cross-system synthesis, providing detailed, contextually accurate results even across disparate sources.
Built for Enterprise Control and Security Company knowledge was designed from the ground up for enterprise governance and compliance. It respects existing permissions within connected apps — ChatGPT can only access what a user is already authorized to view— and never trains on company data by default.
Security features include industry-standard encryption, support for SSO and SCIM for account provisioning, and IP allowlisting to restrict access to approved corporate networks. Enterprise administrators can also define role-based access control (RBAC) policies and manage permissions at a group or department level.
OpenAI’s Enterprise Compliance API provides a full audit trail, allowing administrators to review conversation logs for reporting and regulatory purposes. This capability helps enterprises meet internal governance standards and industry-specific requirements such as SOC 2 and ISO 27001 compliance.
Admin Configuration and Connector Management For enterprise deployment, administrators must enable company knowledge and its connectors within the ChatGPT workspace. Once connectors are active, users can authenticate their own accounts for each work app they need to access.
In Enterprise and Edu plans, connectors are off by default and require explicit admin approval before employees can use them. Admins can selectively enable connectors, manage access by role, and require SSO-based authentication for enhanced control.
Business plan users, by contrast, have connectors enabled automatically if available in their workspace. Admins can still oversee which connectors are approved, ensuring alignment with internal IT and data policies.
Company knowledge becomes available to any user with at least one active connector, and admins can configure group-level permissions for different teams — such as restricting GitHub access to engineering while enabling Google Drive or HubSpot for marketing and sales.
How Company Knowledge Works in Practice Activating company knowledge is straightforward. Users can start a new or existing conversation in ChatGPT and select “Company knowledge” under the message composer or from the tools menu. After authenticating their connected apps, they can ask questions as usual—such as “Summarize this account’s latest feedback and risks” or “Compile a Q4 performance summary from project trackers.”
ChatGPT searches across the connected tools, retrieves relevant context, and produces an answer with full citations and source links. The system can combine data across apps — for instance, blending Slack updates, Google Docs notes, and HubSpot CRM records — to create an integrated view of a project, client, or initiative.
When company knowledge is not selected, ChatGPT may still use connectors in a limited capacity as part of the default experience, but responses will not include detailed citations or multi-source synthesis.
Advanced Use Cases for Enterprise Teams For development and operations leaders, company knowledge can act as a centralized intelligence layer that surfaces real-time updates and dependencies across complex workflows. ChatGPT can, for example, summarize open GitHub pull requests, highlight unresolved Linear tickets, and cross-reference Slack engineering discussions—all in a single output.
Technical teams can also use it for incident retrospectives or release planning by pulling relevant information from issue trackers, logs, and meeting notes. Procurement or finance leaders can use it to consolidate purchase requests or budget updates across shared drives and internal communications.
Because the model can reference structured and unstructured data simultaneously, it supports wide-ranging scenarios—from compliance documentation reviews to cross-departmental performance summaries.
Privacy, Data Residency, and Compliance Enterprise data protection is a central design element of company knowledge. ChatGPT processes data in line with OpenAI’s enterprise-grade security model, ensuring that no connected app data leaves the secure boundary of the organization’s authorized environment.
Data residency policies vary by connector. Certain integrations, such as Slack, support region-specific data storage, while others—like Google Drive and SharePoint—are available for U.S.-based customers with or without at-rest data residency. Organizations with regional compliance obligations can review connector-specific security documentation for details.
No geo restrictions apply to company knowledge, making it suitable for multinational organizations operating across multiple jurisdictions.
Limitations and Future Enhancements At present, users must manually enable company knowledge in each new ChatGPT conversation. OpenAI is developing a unified interface that will automatically integrate company knowledge with other ChatGPT tools—such as browsing and chart generation—so that users won’t need to toggle between modes.
When enabled, company knowledge temporarily disables web browsing and visual output generation, though users can switch modes within the same conversation to re-enable those features.
OpenAI also continues to expand the network of supported tools. Recent updates have added connectors for Asana, GitLab Issues, and ClickUp, and OpenAI plans to support future MCP (Model Context Protocol) connectors to enable custom, developer-built integrations.
Several important details about company knowledge remain unclear based on OpenAI’s published materials. It’s not yet known whether the system can detect and exclude information labeled as confidential, whether organizations can opt in or out of data training separately for this feature, or if users will eventually be able to select which model powers it.
OpenAI has also not said whether this version of GPT-5 is new or specific to the feature, or what service-level guarantees exist to ensure accuracy and prevent hallucinations in company-specific responses.
VentureBeat has emailed OpenAI spokespeople with these and related questions and is awaiting a response, which we will publish if and when we receive it.
Availability and Getting Started Company knowledge is now available to all ChatGPT Business, Enterprise, and Edu users. Organizations can begin by enabling the feature under the ChatGPT message composer and connecting approved work apps.
For enterprise rollouts, OpenAI recommends a phased deployment: first enabling core connectors (such as Google Drive and Slack), configuring RBAC and SSO, then expanding to specialized systems once data access policies are verified.
Procurement and security leaders evaluating the feature should note that company knowledge is covered under existing ChatGPT Enterprise terms and uses the same encryption, compliance, and service-level guarantees.
With company knowledge, OpenAI aims to make ChatGPT not just a conversational assistant but an intelligent interface to enterprise data—delivering secure, context-aware insights that help technical and business leaders act with confidence.
Microsoft Copilot gets 12 big updates for fall, including new AI assistant character Mico
Microsoft today held a live announcement event online for its Copilot AI digital assistant, with Mustafa Suleyman, CEO of Microsoft’s AI division, and other presenters unveiling a new generation of features that deepen integration across Windows, Edge, and Microsoft 365, positioning the platform as a practical assistant for people during work and off-time, while allowing them to preserve control and safety of their data.
The new Copilot 2025 Fall Update features also up the ante in terms of capabilities and the accessibility of generative AI assistance from Microsoft to users, so businesses relying on Microsoft products, and those who seek to offer complimentary or competing products, would do well to review them.
Suleyman emphasized that the updates reflect a shift from hype to usefulness. “Technology should work in service of people, not the other way around,” he said. “Copilot is not just a product—it’s a promise that AI can be helpful, supportive, and deeply personal.”
Intriguingly, the announcement also sought to shine a greater spotlight on Microsoft’s own homegrown AI models, as opposed to those of its partner and investment OpenAI, which previously powered the entire Copilot experience. Instead, Suleyman wrote today in a blog post: “At the foundation of it all is our strategy to put the best models to work for you – both those we build and those we don’t. Over the past few months, we have released in-house models like MAI-Voice-1, MAI-1-Preview and MAI-Vision-1, and are rapidly iterating.”
12 Features That Redefine Copilot The Fall Release consolidates Copilot’s identity around twelve key capabilities—each with potential to streamline organizational knowledge work, development, or support operations.
Groups – Shared Copilot sessions where up to 32 participants can brainstorm, co-author, or plan simultaneously. For distributed teams, it effectively merges a meeting chat, task board, and generative workspace. Copilot maintains context, summarizes decisions, and tracks open actions.
Imagine – A collaborative hub for creating and remixing AI-generated content. In an enterprise setting, Imagine enables rapid prototyping of visuals, marketing drafts, or training materials.
Mico – A new character identity for Copilot that introduces expressive feedback and emotional expression in the form of a cute, amorphous blob. Echoing Microsoft’s historic character interfaces like Clippy (Office 97) or Cortana (2014), Mico serves as a unifying UX layer across modalities.
Real Talk – A conversational mode that adapts to a user’s communication style and offers calibrated pushback — ending the sycophancy that some users have complained about with other AI models such as prior versions of OpenAI’s ChatGPT. For professionals, it allows Socratic problem-solving rather than passive answer generation, making Copilot more credible in technical collaboration.
Memory & Personalization – Long-term contextual memory that lets Copilot recall key details—training plans, dates, goals—at the user’s direction.
Connectors – Integration with OneDrive, Outlook, Gmail, Google Drive, and Google Calendar for natural-language search across accounts.
Proactive Actions (Preview) – Context-based prompts and next-step suggestions derived from recent activity.
Copilot for Health – Health information grounded in credible medical sources such as Harvard Health, with tools allowing users to locate and compare doctors.
Learn Live – A Socratic, voice-driven tutoring experience using questions, visuals, and whiteboards.
Copilot Mode in Edge – Converts Microsoft Edge into an “AI browser” that summarizes, compares, and executes web actions by voice.
Copilot on Windows – Deep integration across Windows 11 PCs with “Hey Copilot” activation, Copilot Vision guidance, and quick access to files and apps.
Copilot Pages and Copilot Search – A collaborative file canvas plus a unified search experience combining AI-generated, cited answers with standard web results.
The Fall Release is immediately available in the United States, with rollout to the UK, Canada, and other markets in progress. Some functions—such as Groups, Journeys, and Copilot for Health—remain U.S.-only for now. Proactive Actions requires a Microsoft 365 Personal, Family, or Premium subscription.
Together these updates illustrate Microsoft’s pivot from static productivity suites to contextual AI infrastructure, with the Copilot brand acting as the connective tissue across user roles.
From Clippy to Mico: The Return of a Guided Interface One of the most notable introductions is Mico, a small animated companion that is available within Copilot’s voice-enabled experiences, including the Copilot app on Windows, iOS, and Android, as well as in Study Mode and other conversational contexts. It serves as an optional visual companion that appears during interactive or voice-based sessions, rather than across all Copilot interfaces.
Mico listens, reacts with expressions, and changes color to reflect tone and emotion — bringing a visual warmth to an AI assistant experience that has traditionally been text-heavy.
Mico’s design recalls earlier eras of Microsoft’s history with character-based assistants. In the mid-1990s, Microsoft experimented with Microsoft Bob (1995), a software interface that used cartoon characters like a dog named Rover to guide users through everyday computing tasks. While innovative for its time, Bob was discontinued after a year due to performance and usability issues.
A few years later came Clippy, the Office Assistant introduced in Microsoft Office 97. Officially known as “Clippit,” the animated paperclip would pop up to offer help and tips within Word and other Office applications. Clippy became widely recognized—sometimes humorously so—for interrupting users with unsolicited advice. Microsoft retired Clippy from Office in 2001, though the character remains a nostalgic symbol of early AI-driven assistance.
More recently, Cortana, launched in 2014 as Microsoft’s digital voice assistant for Windows and mobile devices, aimed to provide natural-language interaction similar to Apple’s Siri or Amazon’s Alexa. Despite positive early reception, Cortana’s role diminished as Microsoft refocused on enterprise productivity and AI integration. The service was officially discontinued on Windows in 2023.
Mico, by contrast, represents a modern reimagining of that tradition—combining the personality of early assistants with the intelligence and adaptability of contemporary AI models. Where Clippy offered canned responses, Mico listens, learns, and reflects a user’s mood in real time. The goal, as Suleyman framed it, is to create an AI that feels “helpful, supportive, and deeply personal.”
Groups Are Microsoft’s Version of Claude and ChatGPT Projects During Microsoft’s launch video, product researcher Wendy described Groups as a transformative shift: “You can finally bring in other people directly to the conversation that you’re having with Copilot,” she said. “It’s the only place you can do this.”
Up to 32 users can join a shared Copilot session, brainstorming, editing, or planning together while the AI manages logistics such as summarizing discussion threads, tallying votes, and splitting tasks. Participants can enter or exit sessions using a link, maintaining full visibility into ongoing work.
Instead of a single user prompting an AI and later sharing results, Groups lets teams prompt and iterate together in one unified conversation. In some ways, it's an answer to Anthropic’s Claude Projects and OpenAI’s ChatGPT Projects, both launched within the last year as tools to centralize team workspaces and shared AI context. Where Claude and ChatGPT Projects allow users to aggregate files, prompts, and conversations into a single container, Groups extends that model into real-time, multi-participant collaboration.
Unlike Anthropic’s and OpenAI’s implementations, Groups is deeply embedded within Microsoft’s productivity environment. Like other Copilot experiences connected to Outlook and OneDrive, Groups operates within Microsoft’s enterprise identity framework, governed by Microsoft 365 and Entra ID (formerly Azure Active Directory) authentication and consent models.
This means conversations, shared artifacts, and generated summaries are governed under the same compliance policies that already protect Outlook, Teams, and SharePoint data.
Hours after the unveiling, OpenAI hit back against its own investor in the escalating AI competition between the "frenemies" by expanding its Shared Projects feature beyond its current Enterprise, Team, and Edu subscriber availability to users of its free, Plus, and Pro subscription tiers.
Operational Impact for AI and Data Teams Memory & Personalization and Connectors effectively extend a lightweight orchestration layer across Microsoft’s ecosystem. Instead of building separate context-stores or retrieval APIs, teams can leverage Copilot’s secure integration with OneDrive or SharePoint as a governed data backbone.
A presenter explained that Copilot’s memory “naturally picks up on important details and remembers them long after you’ve had the conversation,” yet remains editable. For data engineers, Copilot Search and Connectors reduce friction in data discovery across multiple systems. Natural-language retrieval from internal and cloud repositories may lower the cost of knowledge management initiatives by consolidating search endpoints.
For security directors, Copilot’s explicit consent requirements and on/off toggles in Edge and Windows help maintain data residency standards. The company reiterated during the livestream that Copilot “acts only with user permission and within organizational privacy controls.”
作者：Qwen/Qwen2.5-32B-Instruct
文章来源：VentureBeat, 钛媒体, 雷锋网, 极客公园
编辑：小康