FINANCE AI MODEL EVALUATION · EXPERT REVIEWBRAZIL · INTERNATIONAL REMOTE

JOÃO MARCELO ALVES / SENIOR FINANCE EXECUTIVE

A convincing AI answer isn't enough.
It has to withstand scrutiny.

I bring 25+ years of CFO-level financial judgment to evaluating AI-generated analysis—reconciling the numbers, challenging unsupported reasoning and making evidence-based scoring decisions.

02EVIDENCE & DILIGENCE

M&A due diligence

Source-driven analysis

Financial reconciliations, critical assumptions and reporting integrity

AI EVALUATION VALUE

Detect unsupported claims and source inconsistencies.

03AI FINANCE DESIGN

FDI + Sentinel

Built evaluation-ready frameworks

LLM-assisted analysis and a 30-test accounting control framework

AI EVALUATION VALUE

Define ground truth, rubrics and critical-failure checks.

01 / THE EVIDENCE

Judge my work.
Follow the evidence.

Two finance AI evaluation cases built around observed development outputs. Each makes the task, reference evidence, scoring logic and expert adjudication inspectable.

CASE 01FINANCIAL REASONING

T4R Financial Decision Intelligence

When cash-flow reasoning sounds right, what does the evidence prove?

Review cash-flow reconciliation and runway claims against recorded figures, classifications and assumptions. See where plausible results must be qualified or held.

Cash-flow bridge: HOLDRunway scenario: CONDITIONAL USE
Examine the FDI evaluation
CASE 02ACCOUNTING CONTROLS

T4R Sentinel Control

When AI reports control coverage, how much assurance is justified?

Review observed test coverage, source lineage and independent verification status. See why an accurate count is not the same as full accounting assurance.

Reported scope: LIMITED ACCEPTANCEEvidence verification: HOLD
Examine the Sentinel evaluation

Evidence standard: the cases analyze recorded historical development outputs. Their evaluator dispositions and scoped scores are simulated expert adjudications—not controlled benchmark results for named LLMs.

02 / HOW I EVALUATE

One framework.
Different financial AI workflows.

I use an evidence-first, five-step workflow across financial AI models. The task, source data and scoring criteria adapt to each use case; the standard of proof stays consistent.

01 / SCOPE

Define the test

Identify the model’s task, intended decision and material financial failure modes.

DELIVERABLE Evaluation task & risk scope
02 / REFERENCE

Establish ground truth

Reconcile source records, reproduce key calculations and define evidence limits.

DELIVERABLE Verified reference & sources
03 / CRITERIA

Design the rubric

Specify observable checks, weights, acceptance thresholds and critical-failure gates.

DELIVERABLE Scoring rubric & gates
04 / EXECUTION

Test the output

Run documented test cases, preserve raw outputs and compare claims with the reference.

DELIVERABLE Execution record & findings
05 / DECISION

Score & adjudicate

Apply evidence-backed scores; identify critical errors, decision risk and release conditions.

DELIVERABLE Scored judgment & next actions
ONE STANDARD. ADAPTED TO THE TASK.

Keep the evaluation sequence; tailor the inputs, rubric and failure gates.

FINANCIAL REASONING / T4R FDI

Cash-flow evidence · Assumptions · Decision quality

ACCOUNTING CONTROL / SENTINEL

Reconciliation · Test coverage · Source integrity

03 / THE DOMAIN EXPERT

Financial experience is my evaluation advantage.

I have been accountable for financial reporting, investment analysis and executive decisions. That experience tells me which AI errors matter, which conclusions overreach the evidence and when a result is not decision-ready.

SELECTED FINANCIAL TRACK RECORD

01
M&A and due diligence

Supported reporting readiness and financial-evidence review for a BRL 48.7M transaction.

02
Capital and investment decisions

Supported financial strategy for BRL 14M in equity and innovation financing.

03
Reporting discipline

Reduced a financial reporting cycle from 50 to 20 days through process and system integration.

My evaluation standard: Can I reproduce the number, defend the reasoning and trust the decision?

04 / LET'S TALK

Hiring someone to evaluate financial AI?
Bring me the hard cases.

Finance AI model evaluation · Expert review · English (C1) / Portuguese · International remote

Discuss an opportunity