If your AI efforts aren’t paying off, it’s likely not a tech problem. The biggest barriers to success are often people and processes. To unlock real value from AI, your organization must build what experts call “change resilience”—the ability to adapt quickly and continuously as the technology evolves. Here’s how.
Learn through hands-on experiments. Encourage every team to build small, AI-enabled tools that solve real problems. Use these experiments to uncover cultural resistance, skill gaps, and technical friction—and surface opportunities for reimagining work.
Make small moves that generate momentum. Tackle friction with quick, lightweight changes. Try 10-day “micro-bets,” cohort-based sprints, or low-code tools that let teams test and scale ideas. When something works, codify it into templates others can use.
Rethink how your organization works. Don’t modernize the old operating model; invent a new one. Use AI as a catalyst to redesign roles, workflows, and value creation from the ground up.
Keep learning and reinvesting. Track what’s working, measure outcomes, and use those insights to fuel your next wave of change. Continuous cycles of testing, feedback, and improvement will build lasting momentum.
Support your people through change. Rapid transformation creates stress. Monitor sentiment, invest in well-being, and give employees space and support to stay healthy as they adapt. |
