Profitability Trust Score

How far can you trust your AI model? Now you can measure it.

The Profitability Trust Score independently assesses an AI-built cost or profitability model across seven dimensions, and delivers a certified report that stands up to the committee and the regulator.

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An AI-built profitability model can look convincing and be wrong. The Profitability Trust Score is an independent, seven-dimension assessment of how trustworthy that model is, from a firm that has built TDABC models for 25 years. You get a score, a report, and a clear list of what to fix before you trust the model with a margin decision.
The seven dimensions

What we measure, and why.

01

Data quality

Inputs are complete, consistent and fit for the model.

02

Traceability

Every number can be traced to its source and rule.

03

Allocation logic

Costing rules reflect operational reality.

04

Drift

The model stays valid as the data changes.

05

Bias

No systematic distortions favouring an outcome.

06

Robustness

The model holds up under scenarios and imperfect data.

07

Link to outcomes

Findings connect to real margin decisions.

How it works

From model to certified score, in three steps.

1

Intake

We take your AI model and the data behind it, without rebuilding it.

2

Assessment

We assess the seven dimensions with tests, checks and 25 years of TDABC judgment.

3

Report

We deliver the certified score, the evidence, and concrete actions to raise trust.

Frequently asked
What is the Profitability Trust Score?
A certified, independent assessment across seven dimensions of how trustworthy an AI-built cost or profitability model is. Created by Cost and Profitability Consulting.
How long does an assessment take?
A Profitability Trust Score assessment typically takes one to three weeks, depending on model complexity and data availability.
Do you validate models you did not build?
Yes. The Trust Score is independent: we assess any AI-built model, whether ours or a third party's.
Does the Trust Score help with EU AI Act compliance?
Yes. The traceability, data governance and human oversight dimensions map directly to EU AI Act requirements, and the report serves as auditable evidence.

Have an AI model making margin decisions? Get it scored.

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