Berechtigungen
Check access and limit it to sensible roles.
/ AI & Automation
Data & Security
AI must not see more than it should. We check data, permissions and security frameworks before AI is used broadly.
Data quality
structure repositories and reduce outdated information.
Governance
Establish rules for safe and traceable AI use.
AI amplifies existing data structures.
If information is stored cleanly, correctly permissioned and up to date, AI can create real value. If data is confusing, outdated or too broadly shared, exactly these problems are amplified.
That is why data and security work is not a side issue, but a prerequisite for productive AI use.
Control permissions, repositories and sensitive information
We review what data exists, who may access it and which information requires special protection. A clean structure is critical, especially in Microsoft 365, Teams, SharePoint and OneDrive.
The goal is not to prevent AI, but to make it usable in a controlled and secure way.
Important review points:
- User, group and role permissions
- Sharing settings in Teams, SharePoint and OneDrive
- Sensitive documents and confidential data areas
- Data quality, duplicates and outdated repositories
- Rules for AI use and result review
- Technical and organizational safeguards
Klare Regeln schaffen Vertrauen.
Employees need guidance: which data may be used, which results must be reviewed, which tools are approved and who is responsible?
We support the creation of a clear security and governance framework so AI is used deliberately and under control.