Scan
We scan regulatory change in Türkiye and the EU across your domains.
We don't just tell you what changed. We tell you what it means for your company: whether it applies, where it hits your operations, what is already covered, and what has to happen next.
An alert only tells you something changed. The value is in knowing the impact: where it hits your operations, what you already cover, and what needs to change.
Your team still has to work out the rest:
We scan regulatory change in Türkiye and the EU across your domains.
AI checks each change against your company's digital twin and explains the impact in plain language.
Obligations become tasks with owners and deadlines, tracked until they are done.
Regulations are written for everyone. The way they affect your company is not.
Experienced regulatory specialists model your company: legal entities, sites, activities, permits and the controls you already have. Our AI then assesses every change against this twin, so the impact you see reflects how you actually operate.
Specialists in sustainability, environment and occupational health and safety set up your company's twin.
Not a sector code or a questionnaire. The twin reflects your sites, activities and permits.
Every result shows the official text and the part of your company it affects.
Example scenarios. Categories are illustrative, not a customer model.
Your team sees only what applies, what it changes for you, and who has to act by when.
| Change | Domain | Applicability | Impact on your company | Owner | Status |
|---|
Designed to extend to further regulatory domains over time.
Most compliance teams already know when a regulation changes. Alerts arrive, newsletters land, someone forwards a link. The problem is rarely that a change went unnoticed. The problem is what happens in the days after it.
Because an alert only tells you that something changed. It does not tell you whether it changed anything for you.
A regulation is written for a category: a type of activity, a class of equipment, a threshold, a sector. It is written without any knowledge of your company. So the moment an alert arrives, someone has to answer a chain of questions that the alert itself cannot answer.
This chain is the actual work. It usually falls to a small number of experienced people, it takes hours per change, and it is repeated for every alert, including the many that turn out not to apply.
Teams often measure their workload by the changes that do apply. But the changes that do not apply consume just as much time, because you cannot know they are irrelevant until you have checked. And unlike a change you acted on, a change you dismissed leaves nothing behind. Six months later, when an auditor asks why a requirement was not implemented, the reasoning has to be reconstructed from memory.
A decision that cannot be explained later is not really a decision. It is a risk that has been postponed.
Regulatory intelligence starts where monitoring stops. Instead of delivering the change, it delivers the consequence of the change for one particular company. That requires something monitoring does not have: a structured picture of how the company actually operates. Which legal entities exist, which sites do what, which processes run under which permits, and which internal controls are already in place.
Once that picture exists, each change can be assessed against it rather than against a sector label. The output is different in kind, not just in detail:
The change that does not apply is just as valuable here, because it arrives already assessed, with the reasoning on record.
If you want to know which of the two you currently have, take a change from the last quarter and ask one question: how long did it take between the alert arriving and someone knowing which site was affected?
If the answer is measured in days, you have monitoring. If it is immediate, and the reasoning is written down somewhere an auditor could read, you have intelligence.