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An accounting firm handles its clients' books. Not an AI vendor's.

An accounting firm's problem is not the ban, it is shadow AI: staff pasting excerpts of client files into a public service, from their browser, with nobody watching.

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01 — THE CONSTRAINT

revFADP, art. 321a CO, professional standards

Engagement data falls under the duty of loyalty and, depending on its nature, the sensitive-data regime. The processor must be identified, contracted and located.

See every text

01 · USEFind an entry, a supporting document or a piece of correspondence in a client file.

02 · USEPrepare a year-end close: pull last year, list what is missing.

03 · USEAnswer a VAT or payroll-charge question, quoting the internal source.

04 · USEDraft the covering letter for a set of accounts.

02 — THE OBJECTION

Our staff already use public tools. Should we block them?

Blocking moves usage onto personal phones and costs you the visibility you had left. The only thing that ends public usage is an internal tool that answers better — because it sees the firm's own files, which the public service never will.

03 — THE SIZING

For a typical profile in this profession.

Computed, not chosen: headcount × peak ratio × weight of the work, against machine capacity. Your actual situation goes through the configurator.

Profile used	120 peopleWhole case files, comparison, review.
Concurrent sessions to absorb	47
Recommended machine	Numezis 42 machines — beyond a single unit
Required circuit	Dedicated T23 socket · 16 A circuit
List price	123'000 CHFservice 27'100 CHF / year

A case in this profession

A Geneva accounting firm replaces shadow AI with a machine in its own technical room.

Accounting firm

Before the machine

If the question is “where do we start” rather than “which machine”, the group's Advisory and Engineering practice handles exactly that.

The group