Celonis Launches the Context Model to Eliminate Enterprise AI's Operational Blind Spots ...
PushButton AI Team ·
Celonis Launches the Context Model to Eliminate Enterprise AI's Operational Blind Spots ...
Your AI tool isn't collecting dust because your team is resistant to change.
It's collecting dust because it never understood your business in the first place.
You're not alone in the "$200/month a
Your AI tool isn't collecting dust because your team is resistant to change.
It's collecting dust because it never understood your business in the first place.
You're not alone in the "$200/month and nobody logs in" situation. Most business owners I talk to have been there. You trusted someone, spent real money, and got a generic solution dropped into a context it was never built for.
That's not a you problem. That's a vendor problem.
Here's what the latest enterprise AI research keeps confirming: AI fails when it has no visibility into how your actual business operates. Not your industry in general. Your specific workflows, your specific bottlenecks, your specific data.
The tools that actually stick are the ones that start by learning the context of your business before they try to automate anything.
That's the difference between AI that compounds value over time and AI that becomes an expensive login nobody bookmarks.
One practical move this week: before evaluating any new AI tool, write down three decisions your team makes manually every single week. That list becomes your filter. If a tool can't visibly improve one of those three things within 30 days, it's not your tool.
What was the first AI tool your business tried that didn't survive past month two?
