Our approach: honest automation
Why we talk about AI differently than everyone else — and why your accountant's credibility is the product.
What we will never say
You will never read these words in our marketing.
- Never“100% automated”Nor “no human intervention needed”. Someone always reviews, and someone always signs.
- Never“AI-powered” as an explanationIt describes nothing. If we cannot say what runs and on what data, we have not earned the claim.
- NeverA percentage without a sourceNor a promise we could not defend in front of your auditor. This is not modesty — it is positioning.
What you are being promised
If you run a business in 2026, you have heard the pitch. Accounting software that is “done for you”. A “virtual team of AI agents”. 98% accuracy, 80% automation, books that close themselves. Every vendor, in every country we operate in, is making a version of this promise.
Here is what the field actually measures. 98% of accounting firms now use AI in some form — but only 21% have a policy governing it. 63% of CFOs have deployed AI, and about one in five sees measurable value from it. Gartner expects more than 40% of “agentic AI” projects to be cancelled by the end of 2027, and has a name for the marketing behind them: agent washing. UK accountants surveyed in December 2025 say the same thing from the other end: among those who hit AI-generated errors, 39% spend four to ten hours a month correcting them — for tools that were supposed to save them time.
The promises are not lies, exactly. They are measurements taken in ideal conditions, by the people selling the tools. The gap between the brochure and your ledger is where businesses get hurt.
Sometimes badly. In December 2024, Bench — North America's largest AI-powered bookkeeping service, 35,000 clients — shut down overnight, leaving businesses locked out of their own books weeks before tax season. In February 2026, Botkeeper followed, after eleven years. When automation fails and there is no firm behind it, no one answers the phone.
What we believe instead
- 1Structured data comes firstAccounting AI is only as good as what it reads. On clean, structured electronic invoices — Peppol, SDI, the systems now becoming mandatory across Europe — automation genuinely works. On a shoebox of PDFs, it guesses. So before we automate anything, we build the pipeline. That is why we work on Odoo, where your invoice, its payment and its accounting entry live in the same place.
- 2AI must be proven, and quantified soberlyWe automate what we can measure on real client files: invoice capture, bank reconciliation, transaction categorisation — the unglamorous work that consumes hours. Studies place the real gain at around an hour per day per person, and that matches what we see. When we publish a number, it is measured or it is cited. When a task is not reliably automatable yet, we say so.
- 3A named expert answers for the numbersNo algorithm carries liability — not to the tax office, not to your board, not to a court. Regulators across our markets have reached the same conclusion: AI can assist, but a human professional remains responsible. We think they are right.
AI does the work. We answer for the numbers.
— The partners of doo.FINANCE Network
What this means for you
You get the efficiency the technology genuinely delivers: real-time books, faster closes, less manual entry, competitive rates. And you keep what it cannot deliver — judgment, local expertise in ten countries, continuity, and a signature that means someone is accountable.
Sources: Karbon, State of AI in Accounting 2026 · Deloitte, Finance Trends 2026 (October 2025) · Gartner, June 2025 · Dext/Censuswide, December 2025 · Accounting Today (Botkeeper, 2026) · TechCrunch (Bench, December 2024). Full references available on request.