ChatGPT, the OpenAI API, Azure OpenAI, Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio serve different workflows. An organization may use several of them, but one subscription or supplier review does not automatically cover the others.
Start with the product and account
ChatGPT offers a conversational workspace. The OpenAI API lets developers build AI into applications, where the organization must design its own data handling, access controls, and logging. Codex supports software development tasks, with access and execution controls that depend on the environment and configuration.
Azure OpenAI is provided through Microsoft Azure. Review the deployment, processing location, networking, logging, and applicable terms. An Azure subscription alone is not proof that information is processed only inside a customer controlled environment.
Microsoft 365 Copilot uses organizational information within the permissions available to the user. GitHub Copilot supports development workflows. Copilot Studio can connect agents to data and actions. For each product, identify the enabled features, the account type, and the people who administer it.
Trace the information
A personal account is not automatically covered by the organization’s enterprise agreement. An employee uploading a customer document may therefore create a data flow that the business has not reviewed.
OpenAI states that API data is not used for model training unless the customer opts in. That is separate from retention: abuse monitoring logs and application state have their own rules, with endpoint specific conditions and controls. Check the relevant feature rather than treating “not used for training” as “nothing is stored.”
Microsoft 365 Copilot respects existing access permissions. If those permissions are too broad, it can make already accessible information easier to discover. Review sharing, roles, labels, and applicable data protection settings before a broad rollout.
Connected tools and development access
An agent with a connector may be able to read information, change a record, or send a message. Check the connector’s permissions, credential handling, and activity records. Material read from external content can contain hostile instructions, so use appropriate approval boundaries for consequential actions.
Development assistants also need review. Generated code may contain errors or security weaknesses. Keep secrets out of repositories and prompts, review changes, run relevant checks, and control access to production systems.
A practical rollout checklist
Inventory products, subscriptions, users, and connected services. Define permitted information and use cases. Give each workflow an owner, protect API credentials in a secrets manager, and set suitable usage limits and monitoring.
Start with a focused workflow, test it with representative information, and check the result before expanding access. Document how changes are approved and how an unwanted action can be reversed. Review privacy and contractual obligations according to the data and the parties involved.
Choose around the work
A team already using Microsoft services may benefit from those integrations, while a development or service team may need a different combination. Compare the actual workflow, controls, terms, and costs. Apply the same review discipline to Claude, Cursor, and other suppliers so buying another tool does not create an unexamined exception.