Token economics / Christopher Peters

Know what your
AI spend is worth.

Make your next AI investment with conviction.

I connect AI usage to revenue, margins, and EBITDA—so you can see where it creates value and where to invest next.

Let’s talk Explore the approach

Independent advice. Analysis built around your business.

For leaders making consequential AI decisions.

Econometrics · Causal analysis · Statistical modeling

The brief

Make the
investment case.

Your AI strategy needs a financial story you can stand behind.

I work with you to trace how AI changes the economics of your business: the revenue it helps generate, the costs it changes, and the margin that remains.

The goal is to help you deliver measurable results, with evidence your finance and technical teams can use to make the next decision.

01

Scale with evidence

Identify which workflows justify more investment—and how returns may change as usage grows.

02

Improve the economics

Find where model choices, routing, and workflow design can improve the return.

03

Explain the impact

Connect operating changes to EBITDA, with clear assumptions and a credible comparison.

The approach

Your business.
Your economics.

Your margins, customers, workflows, and available data shape the work. We agree on the decision and scope together.

  1. 01

    Start with the decision

    We clarify what you need to decide, what is at stake, and what would make the answer useful.

  2. 02

    Build the evidence

    I design the analysis around your data and rollout: estimating the effect of AI, accounting for other changes, and making uncertainty explicit.

  3. 03

    Make the next move

    You get a clear account of the economics, the tradeoffs, and the actions the evidence supports—with results leadership can track.

Work with me

What’s your
next AI decision?

Tell me a little about your business and what you’re weighing. I’ll follow up personally to explore how I can help.

A confidential conversation with Christopher Peters.

No mailing list. No automated pitch. Just a direct follow-up.

Before we talk

A few practical questions.

Do we need perfect data to start?

No. We begin with the decision and the data you have. I’ll identify what can be estimated today and what additional measurement would improve the answer.

What does token economics cover?

How AI usage relates to business value. That includes token costs, workflow performance, revenue effects, operating savings, and the resulting contribution to EBITDA. The measures depend on your situation.

Can you work with our finance and technical teams?

Yes. The engagement connects the operating data your technical team understands with the financial outcomes your leadership team needs to evaluate.

What happens after I reach out?

I’ll respond directly to understand your question. We’ll discuss fit, available data, and scope before agreeing on an engagement.