How Remarc Uses AI / ML (and Where It Doesn’t)

Remarc uses AI and machine learning only where they reduce uncertainty, not where they introduce opacity.

We apply AI when:

• Patterns are behavioral, not deterministic
• Volume exceeds manual analysis
• Models can be validated against known outcomes
• Results can be explained in finance terms

We deliberately avoid AI when:

• Logic must be exact and auditable
• Human judgment is the primary value
• Automation would bypass necessary controls
• The model cannot be explained to leadership

There are no black boxes.
No autonomous decision-making.
No “AI theater.”

Every model is:

• Interpretable
• Testable
• Governed
• Presented alongside assumptions and limitations