Compliance 3.0: compliance built into your systems
Compliance 3.0 is an approach that moves obligations such as GDPR, Türkiye's KVKK and the EU AI Act out of annual checklists and into the systems themselves. Access, retention and oversight of AI decisions are defined in software, and evidence is produced continuously. The result can be faster audit responses, ready answers to customer security questionnaires and shorter sales cycles in regulated markets.

Topic
Compliance
Published
22 October 2026
Updated
27 October 2026
What does Compliance 3.0 change?
For years compliance was a back-office job. Policies were updated once a year, evidence was gathered from email threads before the audit, and then everything waited until the next audit. That worked when data lived in a handful of systems. Today the same customer record can sit in a CRM, an e-invoicing provider, a messaging channel, cloud storage and an AI provider’s API at once.
“Compliance 3.0” is not a legal term. It is a label for a way of working, and the differences are easiest to see side by side:
| Aspect | Compliance 1.0 | Compliance 2.0 | Compliance 3.0 |
|---|---|---|---|
| Where controls live | Policy documents | Spreadsheets or GRC software | System configuration |
| How evidence is produced | By hand before audits | Collected periodically | Continuously, from logs |
| AI | Out of scope | A separate risk line | Decisions logged and auditable |
| Ownership | Legal or compliance | Compliance and IT | Product, IT and legal together |
| Time to answer an auditor | Weeks | Days | As long as it takes to pull a log |
Which regulations are on the table in 2026?
| Regulation | Who it touches | Key obligations |
|---|---|---|
| GDPR (EU 2016/679) | Companies offering goods or services to people in the EU or monitoring their behaviour, wherever they are based | Legal basis, records of processing, data subject rights, transfer safeguards |
| KVKK (Turkish Law No. 6698) | Anyone processing personal data in Türkiye, including EU firms with Turkish operations or nearshore teams | Information notices, legal grounds, security measures, cross-border transfer conditions |
| EU AI Act (EU 2024/1689) | Providers placing AI systems on the EU market and those whose system output is used in the EU | Prohibited practices, transparency, human oversight and documentation for high-risk systems |
On the Turkish side, the most important recent change concerns transfers abroad. Amendments that took effect on 1 June 2024 rewrote Article 9 of Law No. 6698. Transfers now rest on an adequacy decision, appropriate safeguards such as standard contracts, or limited exceptions, and signed standard contracts must be notified to the Turkish authority within a short deadline. If a nearshore team in Türkiye sends data to a cloud or AI provider abroad, this article applies directly.
The EU AI Act entered into force on 1 August 2024 and applies in stages. Prohibited practices and the AI literacy duty apply from February 2025, rules for general-purpose AI models from August 2025, and transparency rules from August 2026. The AI Omnibus amendment, Regulation (EU) 2026/1744, entered into force on 27 July 2026 and postponed the high-risk timeline: rules for Annex III use cases apply from 2 December 2027, and for systems embedded in Annex I products from 2 August 2028. Check the Commission’s AI Act page before planning around a date.
What are the principles of Compliance 3.0?
The data inventory is the single source of truth. Which system holds which personal data, for what purpose, and which country it flows to are recorded in a current inventory. Records of processing under GDPR, and VERBİS registration in Türkiye, are outputs of that inventory, not substitutes for it.
Controls are defined in configuration. Access rights, retention periods and encryption are written into system settings rather than policy prose. A scheduled job that deletes records past their retention date is stronger evidence than a sentence in a policy.
AI decisions are logged. When a model classifies a customer request or extracts data from a document, the input, the output and the model version are recorded. NIST’s AI Risk Management Framework treats this kind of record as the basis for measuring and managing AI risk.
People stay in critical decisions. The EU AI Act requires human oversight for high-risk systems. Even outside its scope, keeping a human approval step for decisions that directly affect a person is good practice.
Geography is a deliberate choice. Where data is processed is a criterion when choosing providers. For some workloads, regional hosting or an open model running in your own environment removes the transfer question entirely.
How does compliance become an advantage?
Suppliers selling software or services to European customers face long security and data protection questionnaires during procurement. A company that answers from its logs moves faster than a competitor researching the same questions from scratch each time. In a breach, a team that knows where every data set lives handles notification calmly and within the deadlines GDPR and KVKK set.
We do not express this advantage as a percentage. You will see the evidence yourself at the next audit or questionnaire.
Where should you start?
- Update your personal data inventory and flag every flow that leaves the country.
- List the processes that use AI: which model, which data, which decision.
- Move two access or retention controls into system configuration.
- Make sure every AI call is logged.
- Assess GDPR, KVKK and AI Act scope in writing with your legal counsel.
What should you ask an AI provider?
Provider selection is where Compliance 3.0 becomes concrete. Before using a language model API, a cloud service or an off-the-shelf chatbot, get written answers to these questions:
- Is the data we send used to train models, and can that be switched off?
- Where is data processed and how long is it retained?
- Who are the sub-processors and where are they located?
- Will you sign a data processing agreement, and standard contracts where KVKK or GDPR transfers require them?
Large providers publish these answers in their enterprise documentation. Read them with your legal counsel before signing and record them in your inventory. A provider that cannot answer clearly is not a candidate for work involving personal data.
How we approach it at Corrplus
We do not give legal advice. We are the technical team that builds the requirements your legal counsel sets into your systems. In discovery we map data flows and AI use. In design we put controls, logging and provider choices in writing. We build in short cycles and, once live, monitor that logs and controls keep working. See our security, compliance and data ethics service for details.
Want help with this?
Book a call to apply what “Compliance 3.0: compliance built into your systems” describes to your company. We will listen and agree the first step together.
Frequently asked questions
Does the EU AI Act apply to a company based in Türkiye?
It can. The Act also covers providers outside the EU that place AI systems on the EU market, and providers and deployers outside the EU whose system output is used in the EU. If you sell software or AI-supported services to EU customers, assess the scope with your legal counsel.
What is KVKK and how does it relate to GDPR?
KVKK is Türkiye's personal data protection law, Law No. 6698. It was modelled on European data protection rules and shares many concepts with GDPR, but its legal bases, registration duty (VERBİS) and transfer rules differ. Teams in Türkiye serving EU customers often have to satisfy both.
Is buying a compliance tool enough?
No. Tools make inventories and logs easier, but you still decide what data is processed, for which purpose and on which legal basis. Compliance is process, technical controls and documentation working together. No product can promise guaranteed compliance.
What should we do for an AI chatbot?
Tell users clearly that they are talking to an AI system, document what personal data conversations contain and where it goes, set a retention period for transcripts, and keep a route to a person open for sensitive topics.
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