There's a crisis in the C-suite, and it has a number: 95 percent.
That is the staggering failure rate for corporate AI pilots. Across industries, executives are committing billions to AI transformation, yet the promised ROI remains elusive. Most organizations are stuck in "pilot purgatory"—a frustrating loop of expensive experiments, fragmented tools, and siloed data that never scales to production.
After years of this, the frustration is palpable. But what if the entire premise is wrong?
Let's call this what it is: The 'AI-Powered' Trap.
This is the approach of "bolting on" new AI tools to old, broken processes. It's an attempt to layer shiny technology onto a crumbling foundation of technical debt and organizational inertia. The result is predictable: a marginal, temporary gain in one department, while the rest of the business operates as it always has.
Here is the hard truth that C-suite leaders are beginning to realize: The 95% failure rate isn't a technology failure. It's an operating model failure.
The leaders who understand this are making a fundamental, strategic shift. They are moving away from being "AI-Powered" and committing to becoming "AI-Native."
An "AI-Native" architecture is not a tool; it's a new, intelligent core for the business. It’s where AI serves as the default decision layer, not just a helpful assistant. This isn't an IT-led project. It is a C-suite-led mandate to restructure the enterprise around predictive intelligence.
But this level of transformation is overwhelming. You can't just "boil the ocean."
Successful transformation requires a clear, strategic journey. We have developed a C-suite-level model that provides this path. It’s a clear maturity model that moves from operational efficiency to category-defining market leadership.
The "AI-Powered" trap is a bottom-up, technology-led problem that has proven it cannot scale.
It's time to stop funding failed pilots.