AI adoption & implementation
Most AI projects fail not on technology but on adoption. We guide it until it works — in the real work.
GovernmentEnterpriseSMEScale-ups
A successful pilot is not a successful implementation. In between sits everything projects get stuck on: processes that must change, people who must start using it, management that must be arranged, and rules that also apply in production. NIYA guides that whole movement — with a background in both development and change management.
What you get
- Implementation guidance for AI and automation solutions (from RPA to AI-supported decision-making)
- Adoption programmes: communication, work instructions, super-users, feedback loops
- AI literacy: training and policy compliant with Art. 4 of the AI Act — from board to shop floor
- Agile/scrum guidance of development and implementation projects (product owner support, sprint facilitation)
- Aftercare and embedding: management, monitoring and an evaluation cycle
Mini-case: On NL-ITX, NIYA advised on the development and implementation of a national system with many types of users — from grower to regulator. Read the case.