How AI assistants are reshaping corporate meetings and data governance challenges

The practical side of AI notetakers

An AI tool that joins a meeting, follows the conversation, identifies who spoke, organizes key points, and delivers a summary in seconds has become commonplace. This feature reduces time spent on manual note-taking and makes information retrieval easier.

When a meeting involves confidential data—such as salaries, client information, business strategies, layoffs, or undisclosed projects—the content no longer remains confined to participants’ memories but exists in a digital record.

What an AI notetaker actually captures

These assistants can transform conversations into various types of data. Depending on the tool and settings, this includes audio recording, transcription, participant identification, summaries, and task lists. On some platforms, the material can also be searched or used by AI features to answer questions about what was discussed.

Who can access the recordings

There is no single answer. In corporate tools, access is determined by the meeting organizer, the company, or the organization’s technology and security policies.

In Microsoft Teams, for example, the organizer can choose who has access to the recording and transcription. Options include all participants, organizers and co-organizers, or specific individuals. Additionally, third-party applications and agents may have their own permissions. In Teams, Microsoft provides administrative controls to determine whether applications can access transcripts through Microsoft Graph. By default, this access is disabled.

Access by the company

This also depends on the tool and the contract with the supplier. In Zoom AI Companion, the company states that Zoom employees cannot access customer content unless authorized by the account owner or administrator, or for legal, security, or protection reasons. The company also says it does not use customer content to train its AI models. In corporate environments, administrators can control retention, permissions, and usage policies. Therefore, the company’s policy is as important as the tool’s policy.

Beyond security: behavior and privacy

Recording and transcription change people’s behavior. When they know a conversation is being recorded, they may alter what they say or avoid certain topics. Previous research on recorded meetings has identified a tension between privacy and transparency, as well as concerns about using information for employee evaluation.

A 2025 study on voice assistants in the workplace highlighted concerns related to the collection, processing, and unintentional dissemination of information. Another 2025 study shows that workers fear AI assistants collect data beyond the original purpose and that information is disseminated involuntarily. This transforms a productivity issue into a data governance issue.

Checklist for professionals before using a notetaker

Before allowing a tool to monitor a meeting, it is important to check:

• Who can access the recording and transcription
• Where the data is stored
• How long it remains available
• Whether the supplier uses the data for model training
• Which external applications or agents have access
• How to delete recordings and transcriptions
• Whether the company has a specific policy for confidential meetings

Microsoft offers mechanisms for sensitive meetings, including controls for recording, transcription, access, and retention. It is also possible to use Copilot during a meeting without keeping a transcript, although some interactions may still be subject to corporate retention policies. Otter, meanwhile, states that users must comply with local laws and ask for consent when recording and transcribing conversations with other people.

Conclusion: from productivity to information management

The risks vary depending on the type of meeting. Conversations about strategic information, personal data, or labor issues require more caution. Therefore, companies need to define which meetings can be recorded and who can access the records.

The advancement of notetakers reflects an important shift in the use of artificial intelligence at work: AI not only generates content but also begins to record the knowledge produced within organizations. The more meetings are transformed into data, the more crucial it becomes to know where this information is stored, who can access it, and how long it remains available.