ChatGPT Enterprise implementation. Connected to your systems.
Roll out ChatGPT Business or ChatGPT Enterprise with SSO, roles and plugin controls in place. Connect ChatGPT to SAP, NetSuite, Salesforce, HubSpot and in-house tools through custom MCP servers. Build on the OpenAI API where a chat workspace is the wrong fit.
OpenAI sells ChatGPT workspaces and a separate API platform. Connected tools now ship as plugins that bundle skills and MCP servers. This is how the pieces fit, based on OpenAI’s documentation as of September 2026.
ChatGPT plan, plugins or the OpenAI API?
Option
Best for
What to know
ChatGPT Business
Teams that want a shared, managed workspace quickly.
A dedicated workspace for two or more users with essential admin controls, SAML SSO and MFA. OpenAI does not train on business data by default.
ChatGPT Enterprise
Organization-wide rollouts that must pass a security review.
Adds SCIM, EKM, domain verification, role-based access control, the Compliance API for audit logs, and data retention and residency controls.
ChatGPT Work
Delegating multi-step tasks that use files, apps and connected tools.
Runs in the cloud on OpenAI-managed infrastructure, or locally through the ChatGPT desktop app, inside your workspace controls.
Plugins and MCP servers
Giving ChatGPT access to your business systems.
Plugins bundle skills and MCP servers. Admins choose which plugins each role can use and which actions each connection allows. Custom GPTs in Enterprise are moving to plugins.
Codex
Engineering teams.
OpenAI’s coding tool, included with ChatGPT plans. Runs in the ChatGPT desktop app, the Codex CLI, an IDE extension and Codex cloud.
OpenAI API
OpenAI models inside your own application, portal or back-office process.
Separate organization, keys and billing. The Responses API can call remote MCP servers, and the Agents SDK and Agents API support custom agents.
Plans and features change often. We confirm the current terms with you against OpenAI’s documentation before scoping. ChatGPT plans and API usage are billed by OpenAI, separately from our services.
FROM POSSIBILITY TO PRACTICE
Everything it takes to make AI work.
Start with a rollout, a connection, or a workshop. Bring us in where you need us. We’ll help your team take it from there.
01
Implementation
Start with a readiness assessment: plan choice, identity, which plugins and connected apps each role may use, and one workflow to pilot. We name an owner for workspace access, each connected system and reporting before anyone is invited.
A useful first workflow
02
MCP & integrations
Connect ChatGPT to Salesforce, SAP, NetSuite, HubSpot and your own applications. We build custom MCP servers and API integrations around the access and actions you need.
Your systems, connected
03
Deployment
We configure SAML SSO and, on Enterprise, SCIM groups and custom roles, then enable plugins by role with read actions first. Custom MCP servers go live behind OAuth, on a public HTTPS endpoint or through OpenAI’s Secure MCP Tunnel.
A path into production
04
Technical training
Separate sessions for workspace admins, business users and developers. Developers build and test an MCP server in developer mode, then package it as a plugin for your workspace. Independent training, not OpenAI certification.
A team that can own it
WORKSPACE ROLLOUT
Roll out ChatGPT Enterprise.
A ChatGPT Enterprise rollout crosses several boundaries: workspace access, connected systems, desktop and developer tools, the API platform and reporting. OpenAI’s admin guide treats each one separately, and so do we.
Identity and groups.
Set up SAML SSO, then SCIM so groups follow your directory. Custom roles can be assigned to groups, and an explicit Off in any role denies that permission.
Plugins by role.
Enable a focused set of plugins for a pilot group and start with read actions. Record the owner, permitted data, authentication method and removal contact for each connected service.
Compliance and audit.
The Compliance API exports records to SIEM and eDiscovery tools, including conversations that used connected apps. Your own retention and legal-hold rules then apply to the exported data.
Access is checked twice.
Making a plugin available does not grant access to records in the connected service. Each user still needs permissions there, so we test with a restricted account.
In ChatGPT, a connected app is an MCP server. You test a custom server in developer mode, then package it as a plugin that workspace admins make available by role.
Developer mode for testing.
A user turns on developer mode under Settings, then Security and login, and adds the server URL in ChatGPT Plugins. On Enterprise and Edu, a workspace admin must grant developer-mode access first.
Transport and sign-in.
Public servers use Streamable HTTP over HTTPS, usually at /mcp. Servers with private data should implement OAuth 2.1 as the MCP authorization spec describes. ChatGPT supports dynamic client registration, client ID metadata documents and predefined clients.
Private servers, no inbound ports.
OpenAI’s Secure MCP Tunnel runs a client inside your network that makes outbound HTTPS calls to OpenAI, so the MCP server needs no public listener. It supports private connections, not public plugin listings.
Action-level controls.
For connections that support Action control, admins can allow read-only actions or an approved set, and decide when ChatGPT asks before using a connection.
Both run OpenAI models, but they are different products with different owners, controls and bills. Choosing early avoids a rebuild later.
When ChatGPT fits.
People work in a chat or task window, a person reviews the output, and plugins can reach the data they need. Admins manage everything in the workspace.
When the API fits.
The AI step belongs inside your own portal, workflow or back-office system, or needs fixed inputs, outputs and tests. The Responses API can call your MCP servers directly and asks for approval before sharing data by default.
Separate accounts and billing.
API access lives in an OpenAI API Platform organization with its own members, keys, usage and billing. A ChatGPT workspace role does not grant it.
Separate data terms.
OpenAI states that API data is not used for training unless you opt in. Abuse-monitoring logs are kept for up to 30 days by default, and eligible customers can apply for zero data retention or data residency.
YOUR SYSTEMS. ONE USEFUL CONVERSATION.
Connect ChatGPT to the systems you run.
The plugin directory covers common SaaS tools. Your ERP, CRM and in-house applications usually need a custom MCP server with your fields, business rules and approval steps. We build it, secure it with OAuth and hand it over for your admins to manage.
A custom MCP, in plain English.
A connection that lets AI use your tools. You choose what it can read, which actions it can request, and when a person needs to approve.
Workspace owners, application developers and integration engineers
Choose a ChatGPT workspace workshop or an OpenAI API development lab. The two have different administration, deployment and commercial requirements; we scope them explicitly.
01
Scope the workflow
Map workspace roles, approved connections and the underlying service identity.
02
Build the connection
Create a narrowly scoped MCP tool or API-backed workflow using sandbox data.
03
Test the boundaries
Validate tool inputs and enforce authorization in the service, not in a prompt.
04
Prepare the handover
Compare expected and actual results, investigate failures and document release checks.
A worked integration example, evaluation set and maintenance notes. Exercises use an agreed sandbox. Platform licenses and production approval are separate.
California leadership and an engineering team in India. Working sessions and handover planned around your time zone.
02 / QUALITY
ISO 9001:2015 · CMMI Level 3
Our delivery process brings clear scope, documented decisions and a practical handover.
03 / OWNERSHIP
Built with your team, for your team.
Source code, documentation and ownership terms agreed in your project scope. Vendor licenses remain separate.
BEFORE WE BEGIN
Good questions. Straight answers.
A little clarity before the first conversation.
Is AIONDATA an OpenAI partner?
No. AIONDATA is an independent consultancy, not an OpenAI partner. ChatGPT plans and API usage are billed by OpenAI, separately from our readiness, configuration, MCP integration and training work.
Should we choose ChatGPT Business or ChatGPT Enterprise?
Business gives two or more users a dedicated workspace with SAML SSO, MFA and essential admin controls. Enterprise adds SCIM, EKM, domain verification, role-based access control, the Compliance API and data retention and residency controls. The security review usually decides it.
Does a ChatGPT subscription include API usage?
No. The OpenAI API Platform has its own organization, keys, usage and billing, separate from the ChatGPT workspace. Codex can sign in with ChatGPT or with an API key, and usage is billed according to that choice.
Is our data used to train OpenAI models?
OpenAI states that it does not train on Business, Enterprise or Edu data by default, including information reached through connected apps. API data is not used for training unless you opt in. We document what each connector returns so your security team can review it.
Can ChatGPT connect to SAP, NetSuite, Salesforce or HubSpot?
Yes, through MCP servers packaged as plugins. Check the plugin directory and the vendor’s own MCP offering first. For your own fields, approval steps or on-premises systems, we build a custom MCP server with OAuth and start with read-only tools.
Can ChatGPT reach systems inside our network?
Yes, without opening inbound ports. OpenAI’s Secure MCP Tunnel runs a client inside your network that makes outbound HTTPS calls to OpenAI and forwards requests to your private MCP server. It supports private connections, including developer-mode testing, but not public plugin listings.
We built custom GPTs. What happens to them?
OpenAI is retiring custom GPTs in ChatGPT Enterprise and moving those workflows to plugins, which package instructions as skills and connections as MCP servers. We can inventory your GPTs, rebuild the ones that matter as plugins and retest their actions.
What should our first ChatGPT use case be?
One workflow with a clear owner that mostly reads data, such as summarizing account history before a customer call. OpenAI’s admin guidance also recommends starting with read actions and adding writes only after review.
Do you provide ChatGPT training?
Yes. We run independent workshops for workspace admins, business users and developers, using your plugins and a sandbox. They do not lead to an OpenAI certification.
Who runs ChatGPT in month six?
Your workspace owner, plus a technical owner for each connected system. We hand over the access matrix, plugin and MCP server documentation, test prompts and a runbook for disabling a connection.