Check your organisation's AI quality readiness
Check your organisation's AI quality readiness
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:
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?
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.
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).
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.
The whole organisation is involved on the journey to AI Quality:
To conduct the workshop itself, a well-informed technical team and Quality Management team are probably enough.
Let’s use an analogy. You're a car manufacturer and are happy with your car specifications and proud of how fast it accelerates from 0 to 60 mph. Does this mean you would produce this car without quality procedures? Do you know how to maintain it? What happens in freezing temperatures? Your CTO is leaving, and you are lost? Your insurance is asking you for proof of compliance? You are facing adversarial attacks...
You understand now what this is all about: AI touches your entire organisation, and needs to be addressed as such.
Sure! AI is not only to be managed in your production or data science department, but also when embedded into IOT devices. You'll want to ensure that your customers and final users are dealing with a trustworthy AI, don't you?
This is your first step towards risk mitigation. But this is only one step of your journey.
Readiness Analysis gives an overview of how mature you are and your greatest weaknesses and risks. It doesn't go into great detail for each single quality criteria. It's a compass to help you prioritise the next steps.
Guided Assessment is scanning your AI System to the ground, and gives you a clear and detailed picture for each possible quality criteria. It identifies gaps in regard to the requirements of relevant Standards and regulations.
Establish trust, stay relevant, and utilise the full potential of AI
Learn More
Site Selector
Global
Americas
Asia
Europe
Middle East and Africa
