Change Management for AI
Change management for AI encompasses all organizational measures ensuring that AI technologies are accepted, understood, and productively used by employees. It addresses fears of job loss, builds AI competence, defines new roles and processes, and creates a culture of constructive human-AI collaboration.
Why does this matter?
The best AI solution fails if employees don't use it or actively sabotage it. Studies show that 70% of failed AI projects fail due to human factors, not technology. Change management determines whether your AI investment becomes a productivity boost or ends up in a drawer.
How IJONIS uses this
We integrate change management from the start of every AI project: stakeholder involvement from day one, transparent communication about goals and impacts, training programs for affected teams, and a pilot phase with selected champions. This turns AI adoption into a team project instead of a top-down decree.