AI Health Check

AI Health Check

A joined-up view of your use of AI

AI quickly becomes part of everyday work, but the understanding of the models and the impact on the organisation does not always keep pace.

The AI Health Check brings together three perspectives that are often treated separately: governance and compliance, understanding of models and bias, and the use of AI in the organisation.

Meeting about the use of AI with graphs on a screen
Diagram with three overlapping circles: Governance & compliance (frameworks, responsibility, risks, requirements), AI understanding, models & bias (understanding, limitations, quality, bias) and AI in the organisation (use, workflows, skills, wellbeing). In the centre: Effectiveness.

Governance & compliance

We look at the frameworks for the organisation’s use of AI: responsibility, roles, governance, risk management and relevant requirements, and at how the frameworks work in practice, not just whether they exist.

AI understanding, models & bias

We look at the understanding of the AI and the models you use: possibilities, limitations, quality and reliability.

And at bias: both in data and models, and among the people who use, interpret and trust the results.

AI in the organisation

We look at how AI is actually used, and how the technology affects workflows, roles and employees.

Where does AI work well, where do challenges arise, and where is there untapped potential?

A health check that can be adapted

The health check can be carried out as a whole, or with a focus on one or more modules.

The result is a clearer picture of how AI works in the organisation today, where attention is needed, and where there is potential.

Stack of books on data science, responsible AI, statistics and human-centred AI

CONTACT

Do you want to strengthen your use of AI?

We are happy to have an informal dialogue about your challenges and how we can help.