You bought an AI tool. Your team never touched it. $200/month quietly burning.
That's not a you problem. That's a setup problem.
Here's what nobody explained when they sold you that tool: AI assista
You bought an AI tool. Your team never touched it. $200/month quietly burning.
That's not a you problem. That's a setup problem.
Here's what nobody explained when they sold you that tool: AI assistants are only as useful as the information you feed them. A smart assistant with stale or disconnected data is just an expensive chatbot that sounds confident but gives you yesterday's answers.
The real shift happening right now isn't about fancier AI. It's about AI that stays current — tools that connect to your actual business data in real time, so recommendations reflect what's happening today, not what was true six months ago.
That's the gap between AI that impresses you in a demo and AI that actually gets used by your team every Monday morning.
The one thing worth doing this week: before evaluating any AI tool, write down the single most repetitive decision your team makes daily. Then ask vendors specifically how their tool connects to the live data that decision depends on. That question alone will filter out 80% of the noise.
You don't need to overhaul anything. You just need the right fit for one real problem.
What's the AI tool your team was supposed to use — but didn't?
