Sustaining AI Change Requires People, Process, and Shared Ownership, Experts Say

Industry analysts contend that AI projects often falter without proper governance. They argue that people, not just technology, drive successful

Industry analysts contend that AI projects often falter without proper governance. They argue that people, not just technology, drive successful adoption. Clear processes must be defined to integrate AI into daily workflows. Shared ownership across departments helps align goals and expectations. Training and change‑management programs are essential for staff buy‑in. Organizations should establish cross‑functional AI steering committees. Measuring impact and iterating based on feedback sustains momentum. The framework aims to embed AI as a strategic, not siloed, capability.