GDPR and EU AI Act: A 2025 Checklist (Sponsored) for Customers Calls: Customer Calls

By 2025, the party that Customer Call transcript Simply facing more than an operational task. They face legal and moral responsibilities. Both the GDPR and the EU AI law shapes voice data and transcripts are collected, stored and analyzed. Calls people say what people say and even carry personal information in their voices. Once replicated, they create a second sensitive data set. For this reason consent is not AL chasik, but it is about protecting customers and gaining their confidence. There is a practical checklist here to help teams stay on the track.

What are the original GDPR policies to replicate customer calls?

Core GDPR policies Clean it to replicate customer calls: You need a legal reason to replicate the calls and you must be stuck for that purpose. Standard bases are consent, valid interest, or contractual requirements. If you are replicated for training, you will not be able to re -use that transcript for marketing without new consent later.

GDPR also limits what you can capture. You only need to record what you need and avoid irrelevant or excessive sensitive parts of the conversation. Using selective recording or radiation equipment helps reduce the risks that are used.

To stay loyal:

• Determine why you are recording and replicating before you start.
• Simply collect what is needed for this purpose.
• Share clean privacy notifications with customers.
• Use REDACT the selection recording or sensitive details.

These policies have been added to the penalties, renowned damage and the AI law under the AI law, the penalty has been added if the speech analysis equipment is abused.

How do parties handle the role of processor vs. controller and inter -bound data flow?

The parties define the role of processor vs. controller and the cross-border data flow in the transcription projects and should be managed with parameters for each role. The company that decides and how the data is processed is the controller. The seller handling transcription is usually processor. Under GDPR, everyone has a specific responsibility.

If you appoint a supplier you must sign a data processing agreement (DPA). It determines clear rules for security, data use and violation reports. When audio or transcripts move out of the EU, your standard contract -based section (SCC) will also require approved transfer processes.

By 2025, data residency will become more important, many clients and controllers prefer to be in the EU.

Practical steps:

• Map the controller who and the processor.
• Update DPA to include details about voice data and deleting methods.
• Confirm the valid transfer process for the data left in the EU.
• Consider local EU data storage to reduce the risk of consent.

It is a mistake to consider the DPA as a boilerplate. A DPA’s voice and transcription data should be reflected in unique risks.

What operational controls are required for holding, deleting and accessing?

The prohibition of retaining, deleting, and the operational controls required for access, or the ban on the audio forever. Retension rules mean how long your data is saved you need to have a clean deadline. Once the purpose is met, the data must be deleted both the active system and backup.

Access controls are just as necessary. Only people in need of business should be able to view or download transcripts. Each verb, access, editing or deleted should be logged for accountability.

To tighten the controls:

• Set the holding schedule for audio and transcripts.
• Automatically deleted with SLA and Confirmation Reports.
• Use the role -based access permission.
• Keep irreversible audit logs for all access events.

These measures are not just about GDPR. They also protect against the abuse of replicas in AI models, ensuring that only allowed and relevant data is processed.

How does the EU AI affect the speech-based features in 2025?

The I have acting The AI introduces risk-based rules for systems. General transcript for record-conscience is usually low risk. But when the AI analyzes the speech to detect emotions, stress or credibility, the risk increases, especially if those insights affect the service decision, pricing or qualification.

The compliance is more strict there. Companies must run the data protection effect (DPIA) that cover both GDPR and AI both obligations. These include how models are trained, which datasets are used, and how the potential biases are managed.

Original Risk and Control: