AI Quality Readiness Analysis

WHY DO YOU need aN AI QUALITY readiness Analysis?

You have already AI in place or have a clear plan on how to do it. The road to reach AI quality begins with knowing your current status. But how do you know for sure where you exactly stand? Have you covered all fields of AI implementation and digital transformation:

• Human & Organisation
• Technology & performance
• Legal, ethics & sustainability

And even if you have no blind spot left, how do you know for sure how they are linked with each other to ensure a successful implementation on the long run?

UNderstand your AI QUALITY Requirements

We assess your organisation’s readiness to master AI quality either as a developer or as a user of AI products and systems. Our AI readiness analysis is based on best practices, latest developments in standardisation and global regulatory efforts.

We analyse your ability to manage AI quality, master AI governance and model quality, optimise AI operations, maintain a reliable data pipeline and proper data management, and comply with existing and upcoming AI standards and regulations.

Knowing your strengths and weaknesses, you set the base to develop and adopt AI technology at scale.

WHAT IS THE OUTCOME OF AI Quality readiness?

Our AI quality and compliance readiness analysis identifies gaps across the entire AI lifecycle, from conceptualisation to implementation and operation. The analysis covers six key quality pillars that are examined throughout the lifecycle:  

The outcome is a clear understanding of which quality and compliance requirements are relevant to your organisation and how far you meet them. You build a strategic knowledge of current and upcoming standards and regulations, which is crucial to ensure future market access.

With this, you are in the position to start implementing a quality framework (Guided Assessment).

WHY CHOOSE TÜV SÜD's Ai quality service

At TÜV SÜD, we leverage our testing, inspection and certification expertise combined with deep knowledge of Industry 4.0, AI, IoT and Cybersecurity. We set the basis for organisations to systematically plan and implement AI quality, which is essential for AI developers and users to utilise the full potential of this transformative technology.

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