Workplace information is not automatically yours to share.
Employees regularly work with information they are authorised to access. That does not necessarily mean the same information can be copied into any external AI service.
Your organisation may have requirements covering confidentiality, privacy, approved software, document handling, customer information and security. Those requirements still apply when AI is involved.
Permission to access workplace information is not automatically permission to enter it into an AI system.
Understand the information before choosing how to use it.
Public information
Information already approved for public use—such as published product information, public policies or official marketing material—is generally lower risk than internal company data.
Internal information
SOPs, operational reports, meeting notes, internal procedures and performance information may not be secret, but they can still be restricted to employees or approved systems.
Confidential information
Contracts, commercial terms, customer records, employee information, investigations, forecasts and unreleased plans may require stronger controls.
Restricted information
Credentials, security information, highly sensitive personal data, protected records and other restricted material should only be handled through specifically authorised systems and processes.
Classification rules differ between organisations. Use your employer's actual policy rather than assuming that a particular category is safe to share.
The task may be ordinary while the information is sensitive.
Writing an email
Does the draft require real customer, employee or commercial details?
Describe the situation or use placeholders when the identity is not required.
Summarising a document
Is the document approved for use with this AI system?
Remove unnecessary confidential sections or use an approved enterprise environment.
Analysing operational data
Does the analysis require names, IDs or complete transaction records?
Use only the fields and records required for the analysis.
Creating a report
Could the prompt reveal internal incidents, performance or business information?
Provide verified, minimised facts and keep sensitive supporting records outside the prompt.
Reviewing a contract
Are the commercial terms or parties confidential?
Follow company policy and use only an approved AI environment if the document is permitted.
Troubleshooting
Could logs, screenshots or code contain credentials or internal architecture?
Remove secrets, tokens, identifying details and unnecessary system information first.
When workplace data is involved, know the rules first.
Do not guess. Check the relevant company policy or ask the appropriate manager, IT, legal, compliance or data owner before sharing the information with AI.
The same AI tool can involve very different levels of risk.
Drafting from generic information
You ask AI to create a warehouse toolbox-meeting template using generic topics such as safety, workload, staffing and equipment.
No real employee, customer or confidential operational information is required.
Analysing an internal variance report
You want AI to identify possible patterns from a report containing SKU data, customer information, employee names and transaction details.
Confirm that the tool is approved and remove information that is unnecessary for the analysis.
Uploading restricted company records
You plan to upload confidential contracts, credentials, private employee records or security information to a public AI service.
Do not proceed unless the organisation has specifically authorised the system and use case.
You want AI to help analyse recurring stock discrepancies.
- SKU and item descriptions
- System and physical quantities
- Customer names and account references
- Employee names and IDs
- Receiving and outbound transaction history
- Internal investigation notes
What does the analysis actually require?
To identify a recurring variance pattern, AI may need SKU, date, system quantity, physical quantity, variance and transaction category—but not necessarily customer or employee identities.
Is the AI environment approved?
Even after unnecessary fields are removed, company policy may determine whether operational records can be processed by the selected AI system.
Removing unnecessary identities and unrelated fields can reduce exposure while preserving the information needed for the analysis.
Make information handling part of the AI workflow.
Understand the information
Determine whether the material is public, internal, confidential or restricted before deciding how AI can be used.
Confirm the rules
Check organisational policies, approved AI tools and any requirements that apply to the information.
Reduce the input
Remove information that is not necessary for the specific AI task.
Redact sensitive details
Replace names, identifiers, credentials and confidential values when the task can be completed without them.
Inspect before submission
Read the prompt and attachments again before sending workplace information to an AI system.
Review the output
Check generated work for factual errors, unintended disclosure and information that should not appear in the final document.
Responsible workplace AI starts with information control.
AI can improve productivity without requiring uncontrolled access to company information. Classify the data, follow organisational policy, minimise what you provide and keep human review around both the input and the output.
Know what you're handling.
Use approved systems.
Share only what's needed.
Check input and output.