We Don't Sell Tokens

Every AI vendor's pitch ends the same way: your usage will grow.

More agent loops. More reasoning steps. More tokens per transaction. The sales deck frames it as product maturity. It's actually the business model.

I've had dozens of conversations with CIOs over the past year. The question that comes up most often isn't "what can AI do?" It's "what is this actually going to cost me when it scales?" They've seen enough pilots graduate into production to know that most enterprise AI platforms have a variable-cost problem — and the variability is pointed in the wrong direction.

The Incentive Most Vendors Won't Talk About

Most companies selling you AI make more money when you use more AI. That's not a moral failing — it's math. If vendor revenue scales with tokens consumed, then every unnecessary reasoning step, every redundant agent loop, every LLM call for a decision a deterministic rule could have made instantly — those aren't bugs. They're growth.

Governance, efficiency, determinism — those all reduce revenue. They'll get lip service in the product roadmap. They won't get prioritized.

This is why so many enterprise AI pilots look great in the demo and fall apart at scale. The vendor's architecture is optimized for token burn, not outcomes. You don't find out until the bill shows up.

What We Actually Sell

Elementum doesn't make any money when our customers burn tokens. We help customers optimize token burn and we charge a fraction of the systems we replace.

That means our job is to build you the best workflow — and we really don't care how each step gets done. If the right answer is a deterministic rule, that's what we use. If it's a human in the loop, that's what we use. If it's the newest, most expensive model on the market, we'll use that too — but only when it's actually the right tool for that step.

Most of the time, it isn't.

A well-designed enterprise workflow is mostly deterministic logic, a handful of human decisions, and AI reasoning exactly where it moves the needle. That ratio doesn't come from reluctance to use AI. It comes from knowing what AI is actually good at — and respecting the fact that your operational workflows have to be auditable, reliable, and cost-predictable every single day.

Follow the Money

The question every CIO should ask during vendor selection is simple: how does this company make more money next year?

If the answer is "more of your workflow runs through our models," the vendor's incentive is to keep your workflows as AI-heavy as possible. Over time, they'll push you toward architectures that burn more tokens, not fewer.

If the answer is "you expand to more workflows, and your existing ones run more reliably," that vendor has a reason to make your deployments more efficient — not less. Their growth comes from proving out new use cases, not from dialing up consumption on the old ones.

We're in the second group. When your workflow works, we win. When it gets more efficient over time, we still win.

The pricing is the proof.

Nader Mikhail is the CEO and co-founder of Elementum, the open orchestration platform.