The "run" phase is less common and involves embracing transformative technologies and automation to challenge traditional business models. This includes adopting automation to address labor shortages and removing constraints like data quality issues. Companies that succeed in this phase will likely have a clear plan for AI integration and a willingness to invest in long-term efforts. The article emphasizes the importance of understanding an organization's current phase in AI adoption and planning accordingly, drawing parallels to historical figures who achieved success through sustained efforts and learning from failures.
Key takeaways:
- Organizations progress through three phases in AI adoption: crawl, walk, and run.
- The crawl phase involves basic AI applications like chatbots for customer service.
- The walk phase focuses on improving revenue or margins using AI tools like smart pricing and recommendation engines.
- The run phase involves embracing change, automation, and removing constraints to fully leverage AI capabilities.