EU AI Act 2026: AI compliance in financial software

The EU AI Act was approved by the Council of the European Union in May 2024. In February 2025, its provisions on "prohibited AI practices" entered into force. August 2026 is the enforcement date for the "high-risk AI systems" provisions — and those affect financial software directly.

Turkish companies cannot say "we're not in the EU, this doesn't apply to us." If you have data flowing into the EU, EU customers, or EU partners, you are directly in scope. This article explains what the EU AI Act means for the financial software world and how Turkish companies should prepare.

What happened? The EU AI Act, in brief

The EU AI Act classifies AI systems into four risk levels:

| Level | Description | Examples | |---|---|---| | Prohibited | Cannot be used | Social scoring, manipulative AI | | High risk | Under strict oversight | Credit decision AI, fraud detection, employee evaluation AI | | Limited risk | Transparency required | Chatbots (users must be informed) | | Minimal risk | Unrestricted | Spam filters, AI-powered games |

Financial AI most often falls into the high-risk category. That means documentation + audits + continuous monitoring.

The European Commission's official guidance provides the detailed list.

What does it mean for financial AI?

Three core obligations:

1. A risk management system

Your high-risk AI system must have a risk assessment document:

• What does the system do?
• Which decisions does it make?
• What happens if it makes a wrong decision?
• What is the safeguard?

For a reconciliation AI, this documentation gets concrete: "Our system proposes reconciliation matches. If an incorrect match is detected, it can be traced back through the audit trail."

2. Data governance

For training data and input data alike:

• Where did it come from?
• Is it free of bias?
• Is it compliant with KVKK (Turkish data protection law) and GDPR?
• Is it versioned?

3. Human oversight

"Full reliance on AI" is prohibited. Every critical decision must be verifiable by a human. An anomaly detection suggestion → a human-approved action.

iFinances' explainable AI approach is built on exactly this principle. More detail: explainable AI: black box vs. reason chain.

Which financial AI use cases count as high risk?

A practical list:

| Use case | Risk level | Why | |---|---|---| | Credit decision AI | High | Affects customer rights | | Fraud detection | High | Can result in frozen accounts | | AML/KYC AI | High | Regulated by law | | Reconciliation matching | Limited | Suggestive, human-approved | | Anomaly detection (suggestions) | Limited | Suggestive, human-supervised | | VAT calculation AI | Limited | Not determinative | | AI chatbots | Limited | Disclosure required |

iFinances' current modules sit in the limited-risk category — because every one of them operates with human approval.

Five preparation steps for Turkish companies

Step 1: Build an AI inventory

Which systems in your company use "AI"? Separate ML models from rule-based systems. Classify each one by risk level.

Step 2: Prepare the documentation

For every high-risk AI:

• System documentation
• Data inventory
• Risk assessment
• Test results

Step 3: Define the human oversight points

If an AI makes a decision, at which step does a human see it? That process map must be audit-ready.

Step 4: Logging and traceability

Every AI decision must be retained and retrievable for six months: the reason, the input data, the output decision, the impact.

Step 5: Inform your customers

If your customers interact with an AI (a chatbot, an automated decision), you must tell them. This aligns with KVKK as well.

Parallel regulation in Türkiye

The banking AI guidance from the BDDK (Turkish banking regulator), the AI investment-advisory guidance from the SPK (Capital Markets Board of Türkiye), and the audit AI guidance from the KGK (Turkish Public Oversight Authority) are all being developed between 2024 and 2026. The EU AI Act is the reference model for this legislation.

In our KGK audit readiness article, we explained how to build audit-ready infrastructure.

iFinances and the EU AI Act

iFinances modules were designed to be compliant:

• Explainable AI: every decision is written down as a reason chain
• Human approval: critical decisions are always human-supervised
• Audit trail: logs retained for 6+ months
• Data control: customer data compliant with KVKK and GDPR
• Version control: model and data versions are traceable

For detailed technical documentation, get in touch.

Conclusion

The EU AI Act is not just another regulation — it lays down the design principles for the next decade of financial AI: explainable, auditable, human-centered.

For Turkish finance teams, preparing now means getting ahead of the regulatory waves to come. Explore the iFinances modules or request a demo.