Eager to gain a competitive edge, many organizations rushed to implement artificial intelligence (AI) in recent years. For most, however, the results have been underwhelming, with some estimates suggesting that more than 80 percent of AI projects fail. But AI hasn’t failed because the technology wasn’t ready; it failed because businesses treated it like just another tech project.
The first wave of AI initiatives were mostly spearheaded by IT or data teams. These early projects were technology-centric and often disconnected from the broader corporate strategy. And while that might have worked for past tools, AI isn’t like other technologies. It’s different in that it affects how people work, how value is delivered, and how fast organizations need to move.
With that wave firmly behind us, the question now isn’t whether to use AI. It’s how to do it in a way that drives real impact. AI is no longer something to experiment with off to the side. It’s here, it’s moving fast, and it’s already making a difference for companies that know how to use it.
Leaders who are already grappling with a lot (including market uncertainty, tighter budgets, and rising customer expectations) can benefit from a practical guide for building AI into the way their organizations think, operate, and grow. The 4 Vs framework—vision, value, viscosity, and velocity—offers a path to move from experimentation to execution.
- Vision: Embed AI in the Business, Not Beside It
- Value: Redefine How People and Organizations Create Value
- Viscosity: Become Less Like Peanut Butter, More Like Water
- Velocity: Treat AI Like a Promising Teammate, Not a Perfect Machine
Read the full article with Unite.ai.
