Hands-on. Finance-led. Practical AI.

Practical AI for finance work that has to be right.

I am a hands-on financial consultant. More than ten years inside finance teams at Nike, Microsoft, Booking.com and Glanbia. I use AI on my own work every day and help finance teams do the same — on work that has to survive a close and an audit.

Former employers

  • Nike
  • Microsoft
  • Booking.com
  • Glanbia

Former employers · no endorsement implied

AI Document ReviewSynthetic demo

From scattered files
to a reviewable decision.

Explore a prepared example. No live AI processing.

Step 1 of 6

The folder is the starting point.

18 mixed documents. No review decisions yet.

INV-047.pdfUnsorted
Bank_Mar.xlsxUnsorted
support_final2.pdfUnsorted

3 shown from 18 synthetic files

P&L Executive Review

The result is visible. The reason is reviewable.

Revenue added €33.2m. Costs absorbed €51.6m. Explore the €18.4m EBITDA gap, then challenge the explanation.

Northstar Advisory / August 2026Synthetic data · €m
Revenue428.6m+€33.2m vs plan
Gross margin60.7%260.3m gross profit
EBITDA136.2m€18.4m below plan
Where the €18.4m wentEBITDA bridge / select a driver
Plan EBITDA154.6
Actual EBITDA136.2

154.6 + 33.2 − 23.7 − 16.4 − 11.5 = 136.2

All bars share a 0–200 €m scale. Costs reduce EBITDA.

Illustrative management report. Numerical reconciliation is not confirmation of an operational cause.

Use-case library

Five finance problems. One practical standard.

From document evidence to management reporting. Explore a use case, then bring your own problem.

Choose a finance use case
01

Selected use case

AI Document Review

Information in
Invoices, contracts, bank evidence and accrual support
Signal found
Files classified; four exceptions held for finance review
Practical benefit
A clean review queue instead of a manual folder search
Open interactive demo
02

Selected use case

Monthly Close & Data Quality

Information in
Trial balance extracts and recurring close checks
Signal found
Missing mappings, duplicates and unusual movements surfaced
Practical benefit
Review time goes to exceptions, not row-by-row checking
Discuss this use case
03

Selected use case

P&L Performance & Variance Analysis

Information in
Actuals, plan and prior-period performance
Signal found
A reconciled bridge from plan to actual with evidence prompts
Practical benefit
A faster management narrative with traceable numbers
Open interactive demo
04

Selected use case

Balance Sheet Health

Information in
Account balances, ageing and supporting schedules
Signal found
Material movements and evidence gaps prioritised
Practical benefit
A sharper review of what needs action before sign-off
Discuss this use case
05

Selected use case

Cost Centre Explorer

Information in
A hierarchical reporting structure and ownership data
Signal found
Relationships made visible without exposing real company data
Practical benefit
A clearer way to navigate responsibility and reporting logic
Discuss this use case
Martim Pinto

The person behind the work

Martim Pinto

I am a hands-on financial consultant. More than ten years inside finance teams at Nike, Microsoft, Booking.com and Glanbia — building the models and the reporting myself, not briefing someone else to do it. What I design has to close the month, survive an audit, and be explainable to someone who was not in the room. That is the standard I hold AI to.

Full experience on LinkedIn

Ways to work

Three ways in.

Project basis

From scoping to handover

  1. Frame the problem

    Agree the finance question, evidence and scope.

  2. Build and validate

    Build the workflow and check it against agreed criteria.

  3. Embed and adopt

    Document the process and help your team run it.

You leave with: a checked workflow your team can use and maintain.

Book a conversation

Training and workshops

One-off or recurring

Practical AI for finance teams, taught with synthetic examples and your own processes described in words. No access to your systems or your data is required — which means no security review, no DPA and no IT ticket. A session can be scoped and run in weeks, not quarters.

You leave with: a team that can build and check this work without me.

Discuss a workshop

Interim cover

Senior finance cover

Cover for a parental leave, a medical leave or a gap between hires. The role is covered from week one — close, reporting, business partnering — by someone who has done it inside Nike, Microsoft, Booking.com and Glanbia.

You leave with: the months covered, and the automation and documentation built along the way. The team keeps both when I leave.

Check interim availability
Practical details
Based
Netherlands. Remote-first, on site in the Randstad when useful.
Engagement
Independent contract through MM FinImo B.V.
Planning & ERP
Anaplan · SAP
Data
BigQuery · SQL · VBA
Reporting
Power BI · Tableau · Excel
AI
Claude · ChatGPT · Copilot · Gemini · Hermes
Languages
English · Portuguese · Spanish
Scope
I design and build the reporting logic and hand it over documented. I do not ship production software — where that is needed I work alongside your engineers or your vendor.

Start with the problem

Bring me the finance problem AI should help solve.

Describe the problem in a few lines. No preparation needed and no confidential data. If it is not something I should take on, I will tell you and point you somewhere better.

Send me a messageEmail Martim

Describe the files involved and what makes the work harder than it should be. There is no need to send confidential data.

No message is stored by this website. Your email app will open with a draft for you to review and send.

Open email draft
martim@mmfinimo.com