MM/FINIMOSend me a message

Hands-on. Finance-led. Practical AI.

Practical AI for finance work that has to be right.

I help finance teams reduce repetitive work in reporting, document review and recurring analysis. I use automation and AI in my own work every day, with clear checks at every material step.

Send me a messageOpen the AI Document Review
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

Illustrative data and prewritten resultsExplore all 18 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
Revenue€428.6m+€33.2m vs plan
Gross margin60.7%€260.3m gross profit
EBITDA€136.2m€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

Sales + admin combines Sales & marketing (€6.8m) and Administration (€4.7m) in the statement below.

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 with more than ten years inside finance teams at global leaders in technology, travel, sportswear and nutrition. My work has included EMEA direct-to-consumer (DTC) finance, global e-commerce controls and process improvements that saved the equivalent of 80 working days a year. At Nike, I received an MVP (Most Valuable Professional) award.

I build the models and reporting myself. The work has to close the month, survive an audit and be explainable to someone who was not in the room. That is the standard I apply to automation and AI.

Full experience on LinkedIn

Previously at

  • Nike
  • Microsoft
  • Booking.com
  • Glanbia

Shown for professional background only.

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.

Scope a checked workflow

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. This 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.

Build your team’s capability

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, including close, reporting and business partnering, by someone with more than ten years of hands-on experience inside finance teams.

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

Plan reliable interim cover
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 power user
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 you need to solve.

Book a 15-minute call

We’ll clarify the problem, assess where AI can add value, and identify a practical next step.

Or describe it in writing

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

martim@mmfinimo.com