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From the automated decision to the evidence

When AI decides, someone is accountable.

A process lane in three stations: the AI model decides a step, a person approves it and a document with a closed padlock in front stands as evidence.AI decidesA person is accountableIt's on record
  1. AI decides
  2. A person is accountable
  3. It's on record

The controls in every cell

Automation doesn't combine duties that internal control keeps separate.

Control 01

Owner per decision

Every automated decision has an approval owner.

Control 02

Segregation of duties

The person who configures the rules isn't the one who approves their output.

Control 03

Versioned record

Every output is recorded with the version of the rules that produced it. What is recorded is never rewritten.

Control 04

Exception routing

Whatever falls outside the rules goes to a person with the case and its context, and the decision is recorded.

Control 05

Calculations with code

Arithmetic and decisions on amounts run on code, not on a language model.

An AI decision that serves as evidence is a control, tested like any other.

The controls in the console

The settings and the audit trail of Capital project control.

  1. Segregation of dutiesManagement defines who approves what, in the cell settings.
  2. Versioned recordEvery entry keeps its user and its cell.

Demo console, with fictitious data.

The COSO framework applied to AI

The five components of the framework, per the COSO guidance on generative AI, and how traza.'s design covers them.

Control environment

An owner and separate duties

Every solution has an owner, and the person who configures doesn't approve.

Risk assessment

AI according to the risk of the process

Code where an error affects financial information; AI where an error is caught in a later step.

Control activities

Governed configuration and human review

AI proposes, a function validates and executes, and anything uncertain goes to a person.

Information and communication

Every result can be reconstructed

A record that is never modified, with what produced each result.

Monitoring activities

Testing whether the controls work

Switching off a control leaves an alert, and the AI is revalidated when the model changes.

Source: COSO, Achieving Effective Internal Control Over Generative AI (2026).

Let's find which controls each process needs.

The starting point is a conversation about the processes and the controls still run by hand today.

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