There’s a quiet irony in how companies are approaching AI. Everyone wants to run faster, but few have learned how to walk, let alone crawl. The result is brilliant ambitions that collapse under the weight of their own speed.
The issue isn’t lack of vision. It’s lack of foundation.
AI isn’t a feature you can bolt onto a business. It’s a shift in how people think, work, and make decisions. Too many teams are leaping straight to automation or “AI agents” before understanding the basics: how data flows, how prompts shape outcomes, how bias creeps in, and how governance protects both brand and customer trust.
MIT recently reported that 95% of generative AI pilots fail to produce measurable ROI. That statistic isn’t about broken technology. It’s about broken sequencing. Many organizations are skipping the hard but necessary work of learning what AI actually is and how to use it responsibly.
Crawling isn’t glamorous. It’s workshops, training, experimentation, and lots of questions that start with why. It’s employees learning how to collaborate with AI instead of fearing it. It’s leadership defining what “responsible use” means before anyone writes a single line of policy.
Crawling is where alignment happens. It’s where people start to understand that AI doesn’t replace judgment. It enhances it. That clarity becomes the foundation for everything else.
Once teams understand AI, their questions change. They stop asking, “What can it do for us?” and start asking, “How should we use it?”
Walking is about confidence and control, not scale. It’s when marketers start using AI to uncover insights from campaign data or tailor content to audience signals. It’s when a regulatory team trains a GPT on compliance standards and cuts review time from weeks to days.
At this point, AI isn’t a sideshow. It’s quietly improving how people think and collaborate.
By the time organizations reach the “run” phase, the mechanics of AI are no longer the story. The focus shifts to orchestration, integration, and acceleration. Agentic systems begin to assist across departments, guiding work, spotting trends, and triggering action.
That level of maturity only happens when the groundwork is done. The governance, the training, the ethical checks, and the small wins all build trust along the way. Without those elements, speed only magnifies the mistakes.
The crawl isn’t a delay. It’s the differentiator.
The companies that take time to learn, to build shared understanding, to test, and to question will move faster and more confidently later. The ones chasing shortcuts will spend that same time cleaning up missteps.
But understanding the basics of AI isn’t enough. Each organization must also understand how AI connects to its specific goals, data, and culture. The real progress comes when teams can see where AI fits into their workflows, where it doesn’t, and how it can enhance the way people already create, decide, and serve customers.
If you’re just getting started, begin with education and relevance. Teach your teams how AI works, but also how it applies to what they do every day. Once that foundation is in place, walking and running become natural outcomes of clarity and confidence.