AI Tokenomics for Enterprises: Understanding and Optimizing AI Costs at Scale - EPAM

You bought the AI tool. You're paying the monthly fee. Nobody on your team is actually using it. That's not a people problem. That's a cost problem nobody warned you about. Here's what the AI vendor

You bought the AI tool. You're paying the monthly fee. Nobody on your team is actually using it.

That's not a people problem. That's a cost problem nobody warned you about.

Here's what the AI vendors conveniently skip over: most AI tools charge you for every word going in and every word coming out. Bloated prompts, unnecessary context, system overhead — it adds up fast. One enterprise study found that stripping out the invisible "junk" in AI requests cut costs by a significant margin without touching a single workflow.

Translation for your business: the reason AI feels expensive and underperforming isn't always the tool you picked. It's that nobody optimized how the tool is being used. A small configuration change — not a rebuild, not new software — can dramatically change your ROI picture.

You don't need a new AI tool. You need someone to audit how your current one is actually running.

Start there. Ask your vendor or IT contact one question: "What percentage of our AI usage is going toward overhead versus actual output?" If they can't answer it, that's your problem — and it's fixable.

What's the one AI investment you made that quietly stopped delivering? Drop it below — you're not alone.

#AIStrategy #BusinessGrowth #SmallBusiness #AIForBusiness

Original Source

To an LLM, it's a black hole that sucks up paid tokens. The solution. We built an optimization layer (MCP / tool level) that strips out all non-human- ...