brAInfood: How do you make a success of data- and AI-driven innovations in your organisation?

Date of publication: May 2023 / Checked if updates were needed: March 2024

When an organisation makes a radical internal change, for example by implementing a new technology in the workplace, it requires a major transition in the organisation of work and employees. To support such a major transition, we speak of change management. To create positive change in the workplace with (data-driven) innovations, it’s important to put employees, work processes and the working environment at the heart of a change management process.

What are points of attention in change processes when data-driven innovations or AI are implemented in an organisation?

In this brAInfood, we explain why it is important to give employees a voice and a fundamental role to actively involve them in a change management process, and how you can do this. There are four phases in a change management process: a specification of the goal and the potential impact of the innovation, the planning of the transition, the implementation of the innovation and finally the evaluation and adjustment of the transition on the long term. In each step, you need to involve employees to make the change successful.

This brAInfood is based on the white paper 'Introduction of AI systems in companies. Design approaches for change management' by Sascha Stowasser, Oliver Suchy et al (Working Group Future of Work and Human-Machine Interaction) and on findings from the ESF BOOT project involving the Data & Society Knowledge Centre.