Where does your AI go, and what for?

You pay for licences and tokens. The AI Graph shows what they are used for, and for which processes.

01
All your AI tools
ChatGPT, Copilot, Claude, your agents: connected read-only.
02
What teams do with it
Drafting, summarising, analysing: real use, topic by topic.
03
Private by design
A machine reads and sorts, then forgets. Only team totals leave.
04
Spend by process
Every euro of AI linked to the process it serves.

ai graph · what SDRs do with AI

Demo data

Share of tokens, by use · Lead management process

Typical prompts

Team totals, never below 5 people. Typical prompts are written by the machine: no conversation is shown or kept.

Lead management · AI spend

€84k per year

Demo data

What you will know

One-sentence findings, on your own processes.

Examples

SDRs spend 38% of their tokens drafting follow-ups and 22% researching accounts.
Typical prompt“Write a follow-up after a trade show for a CFO of an industrial SME.”
Financial controllers mostly use AI to draft the monthly commentary: 60% of their tokens.
Typical prompt“Explain this month’s margin variance in three sentences.”
Accounts payable barely uses AI: €6k a year, mostly to translate emails.
Typical prompt“Translate this message into English, friendly tone.”

1
We connect your AI tools
ChatGPT, Copilot, Claude, your agents, through their admin access.
2
A machine sorts the uses
Every conversation is filed by topic and process, then erased. Nobody reads it.
3
You see the totals
What each team does with AI, and what it costs, process by process.

Next step · Value Graph

You know where your AI goes. What does it return?

The Value Graph shows where the value to capture sits, whether AI is working on it, and how much you could gain.

Invoice processing takes €610k of human time a year and gets almost no AI.

Possible gain

€240k to €360k a year

Do you know what your AI is used for?

In 20 minutes, an expert looks at your AI tools and what they can already measure.

With an expert · no commitment