Human-Centric AI: The Future of Maintenance Reliability

In this episode of The Asset Performance Podcast, host Wim Vancauwenberghe speaks with AI and reliability engineering expert Tom Rombouts of I-care Group, on how AI can support rather than replace human expertise in maintenance. Rombouts explains “human-centric AI” as technology designed to work alongside people, enhancing human strengths like strategic vision, ethical judgment, and creativity. AI excels at analyzing large datasets to predict potential equipment failures, but the real value lies in combining AI’s analytical power with human insight for nuanced decision-making in maintenance and reliability.

Rombouts also addresses the challenges of AI adoption, stressing the need for cultural and organizational readiness to integrate AI effectively without overwhelming teams. Traditional methods like Failure Mode and Effects Analysis (FMEA) can be enhanced by AI, making them more dynamic and data-driven, while indispensable human skills in complex problem-solving, leadership, and change management remain essential. AI, he argues, should be seen as a partner that frees up human workers for strategic and value-driven tasks, helping companies achieve sustainable growth by harnessing the combined power of human and artificial intelligence.