Token Ledger by VANDAM: AI spend per person, team and model, next to what it produced

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# Token Ledger by VANDAM: AI spend per person, team and model, next to what it produced

> A ledger of every AI subscription and API key in your company, with spend per person, team, tool, model and workflow next to the work it produced: tickets closed, quotes sent, hours saved. We set it up on your own accounts, then run the cap

URL: https://vandam.ai/token-ledger  
Contact: hendrik@vibelab.be

# See where the tokens go and what they produce.

A ledger of every AI subscription and API key in your company, with spend per person, team, tool, model and workflow next to the work it produced: tickets closed, quotes sent, hours saved. We set it up on your own accounts, then run the caps, routing rules and monthly review with you.

[Discuss the project](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Token%20Ledger)

**$9,600 + $1,600/mo** two weeks · then monthly

## Company AI spend tripled in a year. Few can say what it bought.

- **$37B**
  spent by companies on generative AI in 2025, up from $11.5 billion in 2024. [Menlo Ventures](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/), December 2025.
- **$12.5B**
  of it went to foundation model APIs, the usage-billed layer underneath most AI tools. [Menlo Ventures](https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/), December 2025.
- **40%+**
  of agentic AI projects will be canceled by the end of 2027, [Gartner](https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027) predicts, due to escalating costs, unclear business value or inadequate risk controls. June 2025.

> Historically, leaders had to think about allocating budget for headcount and software. Now, token budget must be a serious consideration. Do you set limits per employee? How do you measure the ROI on your token budget?
>
> Alex Lieberman, Co-founder, Tenex, April 2026, [Source](https://x.com/businessbarista/status/2047488697885413391)

Most of the bill is fine. We go looking for the part that produced nothing.

## The AI bill has no line items. Nobody can say what it bought.

Most companies now pay for AI in four or five places at once: chat subscriptions per seat, API keys on a developer’s card, agent platforms billed by usage, coding tools billed by the token. Finance sees the invoices. Nobody sees which team spent what on which model, or whether the work got done.

Token Ledger puts every subscription and key on one page and attributes each dollar to a person, a team, a model and a workflow. Then it follows the dollar into the systems where the work lands, so the ledger shows the tickets closed, the quotes sent and the invoices posted. You see the hours saved, the cost per completed task and the share of spend that produced nothing anyone can find.

That second view sets the controls. Routine work moves to a cheaper model, the frontier models stay where they change the result, and caps go on the sessions that run unattended. Two of the questions [Alex Lieberman](https://x.com/businessbarista/status/2077143133049995619)’s team hears most often from enterprise executives: “How do I start controlling token spend and how do I think about attributing value to a token?” and “How do we manage costs, and prevent runaway sessions?”

> Token costs will become a dominant topic in enterprises going forward with AI. Just got out of a dinner with many Fortune 500 enterprise CIOs and this was the most heated topic.
>
> Aaron Levie, CEO, Box, May 2026, [Source](https://x.com/levie/status/2056965292753146019)

## How the ledger is set up and run.

1. Connect every account: We list every AI subscription, API key and agent platform in use, including the ones paid on personal cards, and connect their billing and usage data with read-only access. The ledger runs on your accounts and stores its data with you.
2. Tie spend to work: Each session is attributed to a person, team, model and workflow. We link workflows to the systems where their output lands, your helpdesk, ERP, CRM or code repository, so a dollar can be followed to a closed ticket or a sent quote.
3. Set the controls: With your finance and IT leads we set spend caps, access tiers by role, routing rules that send routine work to a cheaper model and alerts on sessions that run away. Every month we review the numbers, re-route what should move and report to leadership.

## Set up in two weeks. Reviewed every month.

Models change price, new tools get adopted and teams find new uses for the ones they have. Each month we review the ledger with your finance and IT leads, move work to another model where the numbers say so, adjust caps and tiers, and send a one-page report to leadership.

- Monthly report: Spend, output, hours saved and cost per task, next to last month.
- Re-routing: Workflows moved between models when price or quality changes.
- Caps and alerts: Caps, tiers and runaway alerts tuned to how each team works.
- New accounts: New subscriptions, keys and agent platforms added as they appear.

[Ask about the monthly review](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Token%20Ledger%20care)

## What you receive.

- Spend ledger: Every subscription and key, by person, team, tool, model and workflow.
- Output view: Tasks completed, hours saved and cost per completed task, per workflow.
- Controls: Spend caps, access tiers, model routing and alerts on runaway sessions.
- Monthly review: Re-routing decisions and a one-page report for leadership.

$9,600 + $1,600/mo

two weeks · then monthly

An indication from past projects. The final price can move a little with the size and complexity of your company, and we agree it in writing before we start.

For finance, IT and operations leaders at 50–500 person companies. Useful once the AI bill grows faster than anyone can explain it.

[hendrik@vibelab.be](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Token%20Ledger)

## Where the ledger leads. Each next step has its own service.

### Eval Suite

Finds the cheaper model that does the same work, tested on your own cases.

**$12,800**

### Private AI

Moves sensitive or high-volume steps to a model you control.

**$16,000**

### AI Opportunity Map

Moves spend to where the hours are, ranked on the same terms.

**$9,600**

### Agent Ops

We run the agents the ledger watches, and fix what it flags.

**$3,200/mo**

> A dead simple app that sits between you and all your AI agents and tracks what they’re spending. Token costs, API calls, subscriptions. One dashboard. Your AI budget is about to become a real line item.
>
> Greg Isenberg, CEO, Late Checkout, April 2026, [Source](https://x.com/gregisenberg/status/2048381278953603406)

## Before you ask.

### Where does the ledger run?

On your accounts. It reads billing and usage with read-only keys and keeps its data in your environment. If you stop working with us, the ledger and its history stay with you.

### Which tools can it read?

We check what each of your tools exposes in the first week. Most model providers offer usage and cost data through an admin API. Where a tool only sends invoices and seat lists, we attribute from those, and personal-card spend comes in through expense claims.

### How do you measure hours saved?

Per workflow, with the people who do the work: time per task before and after, checked against a sample of real tasks. Each figure shows how it was measured, so finance can question it.

### Do caps slow people down?

Caps are set per team and per workflow with the team leads, and most of them never trigger. The ones that matter sit on unattended sessions, where an agent in a loop keeps spending while nobody watches.

### Which models do you recommend?

We are model-agnostic and start from what you already use, usually with Claude among them. Routing rules follow your own cost per completed task, measured in the ledger.