What our AI readiness assessment services include
We assess your organisation’s readiness to master AI quality either as a developer or as a user of AI products and systems. We base our AI readiness analysis 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.
We identify gaps across the entire AI lifecycle, from conceptualisation to implementation and operation. Our AI readiness check covers six key quality pillars that are examined throughout the lifecycle.
Frequently Asked Questions (FAQs)
Who is involved in an AI readiness analysis process?
Your whole organisation is involved in an AI readiness assessment. This includes your technical team, quality management, IT, product owners and management, and legal.
We are already getting good results from our AI. Why do we need additional AI readiness assessment?
Writer’s note: This is currently written in a way that’s very different from our intended tone of voice which is a mature, knowledgeable and helpful tone of voice. So I reworded it a lot while retaining its key points.
AI touches your entire organisation. New circumstances such as unexpected conditions, adversarial attacks, and evolving regulatory requirements can introduce complexity. As such, it is always worthwhile to invest in a thorough AI readiness assessment
AI touches your entire organisation. New circumstances such as unexpected conditions, adversarial attacks, and evolving regulatory requirements can introduce complexity. As such, it is always worthwhile to invest in a thorough AI readiness assessment
Do I need AI readiness analysis for my Internet of Things (IoT) devices?
AI is embedded into IoT devices. This means that the AI in your IoT devices should meet the highest standards for AI quality and safety. This necessitates AI readiness assessment.
Can AI readiness analysis protect me from legal liabilities?
Yes, it can reduce the risk of legal liabilities. However, it is only a step on your journey.
What is the difference between readiness analysis and guided assessment?
Readiness analysis provides an overview on how mature your AI implementation is, and what your greatest weakness and risks are. It does not assess each and single quality criteria. It is a compass to prioritise the next steps.
Guided assessment scans your AI systems thoroughly and gives you a clear and detailed picture for each possible quality criteria. It identifies all aspects of the gaps with standards and regulations.
Guided assessment scans your AI systems thoroughly and gives you a clear and detailed picture for each possible quality criteria. It identifies all aspects of the gaps with standards and regulations.
