The 5 common mistakes enterprises make when choosing AI tools (and how to avoid them)
Across industries, AI tools have quickly moved from something companies were experimenting with to something they feel pressure to actually use and roll out across their organizations.
Over the past year, that’s only accelerated, especially with the rapid rise of more agentic solutions. What we’re hearing consistently from the enterprise leaders we work with isn’t a lack of interest, but a lack of clarity.
They’re trying to understand what’s “real” and what’s simply hype in an increasingly crowded market. They’re trying to assess how ready they actually are to adopt across their teams.
They’re inevitably weighing a growing set of choices, whether to buy, build, or partner, while the underlying technology continues to evolve.
That combination, pressure to move quickly without a clear playbook, is where many mistakes start to show up.
Treating AI Selection as a Technology Decision Instead of a Business One
One of the most common pitfalls...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
