Glossary

Compliance reporting

What is Compliance reporting?

Compliance reporting is the regular, traceable documentation of whether an organisation meets legal requirements, standards and internal policies. A typical report sets out the period and scope, the status of each requirement, deviations, and measures with owners and deadlines. It serves management, supervisory boards, auditors or authorities as evidence, for example on data protection or information security.

How KI.ordo helps

A KI.ordo template drafts a structured compliance report from notes and evidence, which should then be reviewed by a specialist.

Learn more →: Compliance reporting

Topics

  • compliance
  • report
  • evidence

Try KI.ordo

Agents, flows and templates in one workspace – free 24-hour demo.

Start demo
← All terms

Related terms

AI Regulatory Framework

An AI regulatory framework comprises the laws, standards and oversight structures governing how AI is developed and used. In the EU, the central law is the AI Act (Regulation (EU) 2024/1689), which takes a risk-based approach: prohibitions have applied since February 2025, obligations for general-purpose AI models since August 2025 and transparency duties since August 2026. Following the “Digital Omnibus” (Regulation (EU) 2026/1744), high-risk obligations apply from 2 December 2027 or 2 August 2028 (as of October 2026; not legal advice).

  • Regulation
  • EU AI Act
  • +1

Data governance

Data governance comprises the rules, roles and processes by which an organisation determines who may collect, use, change and delete which data. It covers responsibility for data quality, access rights, retention periods and compliance with data protection requirements. It matters especially for AI projects, because models and agents are only as reliable as the data they draw on.

  • data management
  • compliance
  • +1

Data protection regulations

Data protection regulations are legal rules governing the handling of personal data. In the EU the General Data Protection Regulation (GDPR) is the key framework; among other things it requires a legal basis for every processing activity, data minimisation, transparency towards data subjects and data processing agreements with service providers. When using AI, organisations need to clarify which data ends up in inputs, knowledge sources and logs, and where it is processed.

  • GDPR
  • data protection
  • +1