You Picked the Vendor for Price. Now They Set the Limits.
Most companies choose their LLM provider based on cost per token. The problem shows up 18 months later, when switching models costs more than staying locked in.
Ideas, guides and behind-the-scenes on how companies are using artificial intelligence across sales, marketing, support and management — without the hype.
When an AI agent identifies the most profitable segment in your funnel, the danger isn't concentrating resources there — it's that growth in that niche starts disguising the silent disappearance of everyone else.
Most companies choose their LLM provider based on cost per token. The problem shows up 18 months later, when switching models costs more than staying locked in.
Most AI audits measure whether the agent delivered what was asked. Nobody audits whether what was asked still makes sense.
Most companies define who turns an automation on. Almost none define who has the authority to turn it off. That gap is expensive.
The AI vendor you are negotiating with has a model trained on the buying patterns of companies like yours. Your procurement team showed up with benchmarks.
You didn't lose your ability to decide. You lost the people who helped you do it.
Your org chart is two years old. Your real decision-making hierarchy is eight months old.
The decision not to enter a market is rarely about the product. Almost always, it's about the math that doesn't add up.
AI cut 40% of structural costs. What got cut along with it has no line on the P&L.
Your AI vendor's business model wasn't designed to solve your dependency. It was designed to deepen it.
Your next strategic decision will begin within a frame you didn't choose.
Your company has become excellent at asking what AI already knows how to answer.
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