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Before adding business information to an AI tool, identify what it may receive and why. Similar interfaces can have different access controls, retention and service arrangements. Review the current terms and settings for the actual intended use.
Start with the minimum information
Describe a workflow with fictional or redacted examples while assessing it. Passwords, secret keys, payment credentials and unnecessary customer records do not belong in an initial enquiry or casual tool experiment.
Ask whether the task needs identifiable information at all. A draft template can often be assessed without a customer's name or account history. Reducing input can simplify both the project and its data exposure.
Map every destination
List the model provider, automation platform, database and logging services that could receive information. Check access and retention across the complete route. A workflow may send data to more places than its main interface suggests.
For example, connecting a support inbox could expose message content through both model requests and execution logs. Troubleshooting records also need an appropriate boundary.
Keep a human owner
Assign someone to approve sources, review permissions and respond to incidents. Start narrowly and test with safe examples before introducing operational data. OWASP's excessive-agency guidance explains why authority matters.
Explore AI and automation, my portfolio or describe your workflow safely. Read Can a chatbot answer questions using my business documents? and What should a small business automate first? for related planning.
These are practical scoping questions, not a substitute for a specific contractual or legal review where needed. Establish what information the task genuinely requires before authorising broad access to a business account.