---
title: BDDK Regulations and AI in Financial Services
description: Explore the legal limits and compliance requirements of AI-powered automated call answering in Turkey’s financial sector under BDDK regulations.
image: https://www.callby.ai/hubfs/portrait-man-talking-mobile.jpg
---

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# BDDK Regulations and AI in Financial Services

[Gökçe](https://www.callby.ai/en/blog/author/gökçe) 

 Nov 6, 2026, 5:47:25 PM

**The Legal Limits of Automated Call Answering in the Financial Sector**

AI call solutions used for customer communication in the [financial sector](https://www.callby.ai/en/sectors-financeandbanking?hsLang=en) are subject to much stricter regulation than in other industries. Turkey’s Banking Regulation and Supervision Agency (BDDK) sets high standards for banks and financial institutions on data security, customer rights and transaction transparency. That’s why using automated call answering is not just a technical choice, but also a serious legal compliance process.

From BDDK’s perspective, the core issue is that communication between the customer and the financial institution must be reliable, traceable and auditable. In AI-driven call processes, these requirements become even more critical.

## Why Is AI a Special Risk Area in Finance?

Call centers in the financial sector typically handle:

- Account and card transactions
- Loan application processes
- Debt and payment notifications
- Identity verification
- Customer complaints

The data processed during these transactions is both personal data and financially confidential. For this reason, BDDK considers it risky for automated systems to communicate with customers without control.

AI call systems must be restricted against scenarios that could lead to misrouting, incorrect information or the perception of unauthorized transactions.

## Key Compliance Areas from a BDDK Perspective

Although BDDK regulations are not written directly under the heading of “artificial intelligence”, existing legislation is interpreted to cover automated call systems. The main compliance areas are:

### 1. Informing the Customer

Customers must know they are talking to an automated system. Call scenarios designed to give the impression of a human agent create a risk of non-compliance.

### 2. Recording and Traceability

All call recordings, transaction logs and routing steps must be auditable. It must be clear which information was provided, on which date and by which system.

### 3. Access and Authorization Controls

Access to voice recordings and call data must be restricted on a role basis. Unauthorized access is considered a serious violation from BDDK’s point of view.

## Limiting Automated Call Answering

In BDDK practice, automated call systems are generally considered more suitable for informational and routing purposes. For example:

- Campaign announcements
- General account information
- Appointment or branch routing

In contrast, human oversight is critical in processes such as loan approval, risk assessment or anything that creates a binding transaction on the customer’s behalf. AI should play a supporting role at these points.

## BDDK-Compliant Call Scenarios with the Callby Approach

In its call solutions for the financial sector, Callby puts BDDK expectations at the center of the design. Automated call flows are built to inform the customer clearly, operate with limited permissions and record every step.

With this approach, financial institutions gain operational efficiency without facing surprise risks in BDDK audits.

You can [request a demo](https://www.callby.ai/en/get-an-offer-now?hsLang=en) to see Callby’s BDDK-compliant automated call scenarios live.

## Conclusion

BDDK regulations do not ban AI call systems altogether. But they clearly define where, how and within which limits these systems can be used. In the financial sector, a successful AI call center must be built on legal compliance before technical capability.

Discover secure and compliant call solutions for the financial sector with a Callby demo.

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