ChatGPT Enterprise
AI summary
Rencore Governance reads 33 object types from ChatGPT Enterprise, organized by topic including workspaces, content, users, agents and apps, usage and costs, and settings. Each object type includes its properties, relations and available actions, along with information about which of the 30 policies and 18 automations can apply to it, so you can identify the right objects for your reports, segments and policies.
These are the object typesInventory objectAn inventory object is one item Rencore Governance has scanned from a connector, such as a single Team, SharePoint site collection, user or Power App.Read more Rencore Governance reads from ChatGPT EnterpriseChatGPT EnterpriseChatGPT Enterprise is the business plan of the ChatGPT AI assistant by OpenAI.Read more. Use this page to find the object you need for a report, a segment or a policy: the objects are grouped by topic, and each one shows how many policies and automations work on it. Open an object for its properties, relations and actions.
Rencore Governance inventories 33 object types for ChatGPT Enterprise and ships 30 policies, 18 automations and 9 built-in actions.
Object types
Workspaces and sites 1
The places where people work together: teams, sites, groups, projects and environments.
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ChatGPT projects, with their sharing visibility, tools, connector scopes and usage.
Content and files 5
What people store and create inside those places: files, folders, lists, reports and conversations.
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Canvases owned by ChatGPT users, by version count and last update.
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Conversations as objects: who, when, how many messages, which models, and which GPT or project - never the content.
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Files in ChatGPT user libraries, by owner, size, state and lifecycle.
Show 2 object types more
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Per-user memory footprint in ChatGPT, as counts and dates only.
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Recordings owned by ChatGPT users, by duration and date only - transcripts are never read.
Users, groups and access 8
Who is in the tenant, which groups and roles they hold, and what is shared with whom.
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Phones and tablets paired to drive Codex remote control.
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Developer machines running Codex remote control.
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ChatGPT groups, their membership source, their SCIM mapping and their default spend cap.
Show 5 object types more
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Invitations into the ChatGPT workspace, with their role, seat type and status.
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ChatGPT service account credential
Credentials held by ChatGPT service accounts, with their scopes, expiry and revocation.
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Non-human identities in the ChatGPT workspace, with their credentials and share targets.
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Every user in the connected ChatGPT workspace, with role, seat, spend and the Entra ID join.
Agents, apps and automations 10
Agents, apps, flows and the connections, credentials and triggers they run on.
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Agents published into the ChatGPT workspace, with their skills, connectors, run history and spend.
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Runs of ChatGPT workspace agents, by trigger type and invoker.
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Third-party apps and MCP servers linked to ChatGPT accounts, derived from link and unlink events.
Show 7 object types more
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Scheduled automations owned by ChatGPT users.
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Codex sandboxes, the repositories they reach and how widely they are shared.
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Codex cloud tasks, by creator, source and environment.
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External data sources attached to ChatGPT projects, who added them and whether they still sync.
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Custom GPTs in the workspace, with their sharing visibility, configuration shape and usage.
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Plugins in the ChatGPT workspace, their discoverability and the MCP servers and skills they bundle.
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Skills available to ChatGPT workspace agents, with their creator and attachments.
Usage, activity and costs 8
Who uses what and how often, what it costs, and the spend limits that apply.
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Ingested ChatGPT activity: who did what and when, retained beyond OpenAI's 30-day window.
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ChatGPT Codex code review metric
Workspace-level Codex code-review activity per day.
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Codex usage per user per day, with credits, cost, tokens and code attribution.
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Daily ChatGPT cost lines by user, group, agent, product, surface and model.
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The default monthly spend cap each ChatGPT group hands to its members.
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ChatGPT limit increase request
Requests for a higher ChatGPT spend cap, and how they were resolved.
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Each member's monthly spend cap, where it comes from, and live month-to-date usage.
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The workspace default spend cap.
Settings and configuration 1
Tenant and workspace settings, labels, templates and other configuration objects.
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The connected ChatGPT Enterprise workspace, its granted scopes and its coverage gaps.
Frequently asked questions
What does Rencore Governance inventory for ChatGPT Enterprise?
What does Rencore Governance inventory for ChatGPT Enterprise?33 object types, such as ChatGPT activity, ChatGPT agent, ChatGPT agent run and 30 more.
Where do I see the properties of a ChatGPT Enterprise object type?
Where do I see the properties of a ChatGPT Enterprise object type?Each object type has its own page with its properties, relations, segments and actions.
Which module includes the ChatGPT Enterprise connector?
Which module includes the ChatGPT Enterprise connector?The ChatGPT Enterprise connector is part of the AI & Agents module of Rencore Governance, an add-on module on the Premium and Enterprise Plans. The connector is in preview.
What else does Rencore Governance cover for ChatGPT Enterprise?
What else does Rencore Governance cover for ChatGPT Enterprise?33 object types, 30 policies, 18 automations and 9 built-in actions.