An AI application can speed up a process, but often uses data from multiple systems. Before you start, it is therefore important to determine who has access, what the system is allowed to do and how employees can fix errors. Safe working is created by technology and clear agreements.
Inventory data and responsibilities
Describe the purpose of the application, the data sources, the vendors involved, and the people who manage the process. Find out what information is really needed and whether there are personal data or confidential company data. Record who handles questions and who decides on changes.
Restrict access and privileges
Give users and links only the permissions they need for their task. Distinguish between view, modify, and approve. Periodically check whether rights still match positions and departures of employees. For sensitive operations, a separate control or approval moment is sensible.
Build in human control
AI can give a convincing but incorrect answer. Therefore, for example, have concepts, financial changes, contractual information and personnel decisions checked by competent people. Ensure that an employee can see what information has been used and how an error is reported or corrected.
Make arrangements about storage and backups
Research where data is processed and stored, how long it is needed and which agreements with suppliers apply. A backup is only usable if recovery is also tested. Agree on responsibilities, recovery priorities, and backup access; the right provisioning depends on your situation.
Test with normal and unexpected situations
Don't just Test a successful example. What happens in the event of missing information, a misclassification, a failed link or an employee without rights? Record who intervenes, how the process temporarily proceeds manually, and when the operation is reassessed.
Example: an AI concept for customer communication
An application suggests an answer to a customer question. The device specifies which sources may be used and which data is not required. The employee checks the draft for facts, confidentiality and tone before sending it. If in doubt, the employee can adjust the proposal, reject it or forward the question to an authorized colleague.
Document responsibilities and review them regularly
Create a simple overview of the application owner, vendor contacts, access roles, and incident procedure. Describe when and how backups are tested and who decides on recovery in the event of a failure. Make sure employees know how to report an error and how to stop the process temporarily.
Repeat checks when you add a new link or change the purpose of processing. Where necessary, involve your privacy and security advisors in assessing your own situation. Save only data that is needed and check that agreements with suppliers match the chosen application.
This checklist is a starting point for a conversation about your own processes. Contact Digivance to explore an appropriate decor.
Read also about AI Business Automation and Management at Digivance.