When the co-pilot knows too much

Why data governance is crucial

The introduction of Microsoft 365 Copilot offers tremendous opportunities to analyze data faster, automatically generate content, and optimize processes. However, Copilot relies on existing data, and this is precisely where two key risks arise: a lack of governance and poor data quality. Without clear rules for data access, structures, and responsibilities, sensitive information can be accidentally shared or misused. Oversharing thus becomes a genuine security and compliance risk. At the same time, outdated, duplicate, or poorly structured data leads to Copilot delivering inaccurate, incomplete, or even incorrect answers.

oversharing The invisible problem in the age of copilot:

• Definition: Users see or gain access to data and information that they should not actually see.
• Causes:
  • Incorrectly configured teams, SharePoint sites, or OneDrive permissions
  • Public sharing of files or folders
  • Lack of guidelines for data classification
• Follow us:
  • Data protection breaches (GDPR / data protection regulations)
  • Reputational risk for the company
  • Copilot could inadvertently use sensitive data in generated content.

The data is already viewable before the use of Microsoft Copilot, but Copilot makes it more accessible.

How data quality affects copilot performance

The quality of your own data is another key factor in why data governance is so crucial for the adoption of Microsoft 365 Copilot. Unlike public AI tools such as ChatGPT, Gemini, or Perplexity, Copilot uses "in-house" data stored in Microsoft cloud storage (SharePoint, OneDrive). Challenges arise particularly when:

• outdated, duplicate, or unstructured data is stored, and no sustainable data management is practiced – a classic problem of Data quality.
• Inconsistent or erroneous information can irritate Copilot in its reasoning, which can negatively affect the quality of the generated answers.

To strengthen your data culture, there are various technical and organizational approaches. Technically, automated workflows can help ensure the timeliness and relevance of data – for example, through approval processes for inactive SharePoint sites. Organizationally, awareness campaigns help to convince employees of the value of clean data and motivate them to handle it more consciously.

Why governance is so important for the use of Copilot:

1. Ensuring data quality: Copilot only delivers reliable results if the data is clean and consistent.
2. Control access rights: Only authorized persons should be able to access sensitive content.
3. Ensure compliance: Data protection laws and regulatory requirements must be complied with.
4. Minimize risks: Oversharing and accidental data sharing are actively prevented.
5. Building up trust: Employees, customers and partners must be confident that data is protected.

Using Copilot safely – with the right governance

Before you implement Microsoft 365 Copilot, the governance structure should be in place. Clean data, clear access rights, and defined policies prevent oversharing and build trust in the AI. A well-thought-out governance concept is the foundation for the secure and successful use of Microsoft 365 Copilot. That's why we offer a governance module as part of our Copilot offering. We also offer the following: «Data Governance for Microsoft Teams & SharePoint» We determine the data quality and data security guaranteed in M365. We analyze your data structures, check access rights, and define clear guidelines and classifications in a concise concept.

If you would like to delve deeper into the implementation of effective copilot governance, we have compiled the most important measures in our blog post “5 Tips for Strong Copilot Governance”. Visit the blog

Make your company Copilot-Ready

Before companies deploy Microsoft 365 Copilot in production, they should prepare their environment accordingly. Data governance is only one part of this. Equally important are structured data storage, appropriate permissions, a clear implementation strategy, and employee training to ensure that the new possibilities of AI can be used effectively. ecosystem He himself emphasizes that, in addition to technical requirements, clear guidelines, responsibilities, and a supported implementation are crucial for successful Copilot use. We support you in all areas of the Introducing Microsoft 365 Copilot.

Would you like to know how you can use the Copilot in your company? We are happy to help!