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Biel Rosinol · AI × Finance Lab

Finance, rebuilt for machine intelligence.

I’m a CFO and founder. This is my lab: working models of the finance function AI makes possible — from the plan, to the close, to the deal. Every figure is computed in your browser.

Fig. 1 — Transactions in, ledger out

Organisations I have worked with

  • Oliver WymanConsulting
  • ApaxPrivate equity
  • INSEADBusiness school
  • HasteeFintech
  • ZellisPayroll & HR
  • Stack AIEnterprise AI
  • AsanaWork management

The lab

8 working models. No mock-ups.

All experiments
  1. 04The variance writes back
  2. 05One group, many ledgers
  3. 06Quality of earnings
  4. 07Cash, in real time
  5. 08Automate or hire?

Practice

Six disciplines. One operator.

The work I get pulled into, as CFO or alongside one. Each discipline has at least one experiment in the lab — the fastest way to see how I think about it.

IFinancial planning & analysis

Multi-year budgets, rolling forecasts and scenario models that leadership actually runs the business on — with sales pipeline and order book wired into the plan, not reconciled to it afterwards.

  • Multi-year budgets
  • Rolling forecasts
  • Scenario models
  • Pipeline & order book
IIControllership & closing

Month-, quarter- and year-end closes streamlined toward rapid, repeatable delivery, including multi-entity consolidation run to private-equity reporting standards.

  • Fast close
  • Multi-entity consolidation
  • PE-grade reporting
  • Controls
IIIAccounting & tax compliance

Oversight of complex accounting and cross-border tax: intercompany loan capitalisation, VAT remediation, transfer-pricing policy and statutory filings across jurisdictions.

  • Intercompany
  • VAT remediation
  • Transfer pricing
  • Statutory filings
IVM&A & financial due diligence

Financial due diligence end to end: historical P&L and balance-sheet clean-ups, quality-of-earnings work, and earn-out structures for high-growth companies that survive contact with reality.

  • Due diligence
  • Quality of earnings
  • Historical clean-ups
  • Earn-outs
VSystems & treasury integration

Multi-platform finance stacks consolidated into one picture — ERP, banking, payroll, billing and CRM connected (Xero, QuickBooks, Stripe, Pilot and beyond) to sharpen cash flow and treasury.

  • ERP & banking
  • Payroll & billing
  • CRM
  • Cash visibility
VIAI-driven process automation

AI-native tooling and automated workflows that raise reporting accuracy and speed: transaction categorisation, variance commentary, reconciliations — with the controls to trust the output.

  • Categorisation
  • Variance commentary
  • Reconciliation
  • Human-in-the-loop controls

How I work

Judgement signs it off. Machines do the rest.

01

Decision-ready, not exhaustive

A recommendation with the reasoning attached, not a deck of options to adjudicate. If the assumptions are weak, I say so before anyone acts on them.

02

Three cases, always

Conservative, realistic, aggressive. When the three disagree on the sign, the number is not the answer — the assumption underneath it is.

03

Operator, not observer

I have carried the number I advise on. That changes which risks I raise, and which ones I tell you to stop worrying about.

Writing

Notes from the finance side of the AI debate.

Read the notes
  1. 01Most AI business cases invert when you cost the second order
  2. 02Ask for the denominator
  3. 03Three cases, or you have not made a recommendation