What is Compliance
Compliance of product, data and processes with internal regulations, laws, standards and industry requirements.
Definition
Compliance is the compliance of a product, data and processes with internal rules, laws, standards and industry requirements. Simply put, this concept helps assess risk, liability, safety, and compliance. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The company checks whether the selected AI service can be used with clients’ personal data and who is responsible for the results.
Why it matters
Compliance helps implement AI without unnecessary legal and reputational risks. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
First, stakeholders, data, and potential harm are identified, then checks, restrictions, audits, and responsibilities are introduced. In the case of the term “Compliance”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- Important in products where AI impacts people, personal data, security, legal risks or decision making.
Limitations
Risks change as laws, products and data change, so these pages require regular editorial review.