Use Case

AI Compliance with the EU AI Act and evolving AI governance frameworks

Organizations developing or deploying AI systems must align their governance processes with regulations such as the EU AI Act.

Yields provides AI Governance Software that helps organizations operationalize AI compliance by structuring risk classification, documenting safeguards, and maintaining traceable governance decisions throughout the AI lifecycle.

AI Governance Software Yields Compliance Overview Dashboard

Why AI compliance is challenging

The EU AI Act introduces a risk-based regulatory framework requiring organizations to classify AI systems, implement safeguards, and document governance decisions.Without a structured governance platform, organizations often face challenges such as:

AI system information stored in spreadsheets or local files
Manual tracking of compliance evidence and risk assessments
Limited visibility into AI risks across departments
Difficulty documenting safeguards and governance decisions
Inconsistent governance processes across teams or regions
Time-consuming preparation for regulatory or audit requests

Organizations need a structured platform to manage AI governance consistently while adapting to evolving regulations.

A structured platform for AI compliance

Yields AI Governance Software provides a configurable framework that helps organizations align their AI governance processes with regulatory requirements such as the EU AI Act.

The platform enables organizations to:

Classify AI systems based on regulatory risk categories

Document safeguards, controls, and governance decisions

Maintain traceable evidence across the AI lifecycle

Define organization-wide AI governance policies

Allow business units to extend governance policies where needed

Support both deployer and provider compliance responsibilities

AI Risk Management Yields AI Governance software

How it works?

Yields provides a structured way to operationalize AI governance and regulatory compliance.

Register and classify AI systems

Capture AI systems and classify them according to regulatory risk categories using guided templates and workflows.

Define governance policies

Define organization-wide AI governance policies and manage safeguards with version tracking.

Capture compliance evidence

Document safeguards, governance decisions, and supporting evidence linked to AI systems.

Monitor compliance

Track governance processes and compliance status through configurable dashboards.

Generate regulatory documentation

Generate regulatory documentation using templates aligned with governance frameworks.

eBook

Managing AI risk in practice

Download our practical guide to AI governance and managing AI Risk, built on a decade of real-world experience. Discover how to operationalize AI governance with clarity, structure, and confidence.

From scattered to structured AI governance in days, not months

"Even though we were already digging into the AI Act requirements ourselves: AI governance isn’t just about ticking compliance boxes, it’s about managing genuine business risk. The Yields AI Governance platform assisted us in identifying hidden risks in the AI systems we already use in HR and other processes, including regular business applications. Going forward, deploying a governance platform explicitly addressing AI Compliance like Yields will be essential for managing AI responsibly and at scale, while ensuring compliance with the EU AI Act."
OLaf Jonkers, Itsme
Olaf Jonkers
CISO / Scheme Manager @ itsme® DigitalID:

Operationalize AI compliance with structured governance

FAQ

What is AI compliance?

AI compliance refers to the processes organizations implement to ensure their AI systems follow applicable laws, regulations, and governance standards. In the European Union, this includes aligning with the EU AI Act, which requires organizations to classify AI systems, implement safeguards, and maintain documentation of governance decisions throughout the AI lifecycle.

What is the EU AI Act and why does it matter for organizations?

The EU AI Act is a regulatory framework that governs the development and deployment of artificial intelligence in the European Union. It introduces a risk-based approach where AI systems must be classified according to their potential impact. Depending on the classification, organizations must implement safeguards, document governance processes, and demonstrate compliance.

Why is AI compliance challenging for organizations?

AI compliance is challenging because organizations often manage AI system information across multiple tools, spreadsheets, or departments. This can lead to fragmented documentation, manual tracking of compliance evidence, limited visibility into AI risks, and inconsistent governance processes across teams.

How can organizations operationalize AI compliance?

Organizations can operationalize AI compliance by implementing structured governance processes that allow them to classify AI systems, define policies and safeguards, document decisions, and maintain traceable evidence. Governance platforms can help centralize this information and support consistent compliance processes across the AI lifecycle.

How does Yields support AI compliance?

Yields provides AI Governance Software that helps organizations manage AI compliance in a structured way. The platform enables organizations to classify AI systems, document safeguards and governance decisions, maintain audit-ready evidence, monitor compliance through dashboards, and generate regulatory documentation aligned with frameworks such as the EU AI Act.