finance, risk & treasury.

Financial exposure and liquidity

AI helps anticipate customer, supplier or counterparty fragilities before they translate into default, cash tension or operational disruption.

• Progressive deterioration of critical customers or suppliers;
• Payment terms insufficiently adjusted to actual risk;
• Cash tensions identified too late;
• Financial exposure difficult to prioritise across commercial, purchasing or credit decisions.

01: Financial Strength Scoring

A scoring model can help qualify a company’s financial health, its relative position within its sector and its probability of survival over a 2–3 year horizon.

The objective is not to produce an isolated score, but to translate available financial signals into an actionable reading: counterparties to monitor, terms to renegotiate, exposure to reduce or decisions requiring further analysis.

02: Customer risk and payment terms

Models can help identify customers whose financial or behavioural profile justifies an adjustment of commercial terms.

The issue is not to tighten payment terms uniformly, but to refine the trade-off between commercial development, default risk, cash exposure and quality of the customer relationship.

03: Supplier risk and operational continuity

The fragility of a critical supplier can affect production, customer service or margin well before a formal disruption becomes visible.

The analysis helps prioritise suppliers to monitor, mitigation plans to prepare and dependencies to reduce when the economic exposure justifies it.

When should a diagnosis be initiated?

A diagnosis is relevant when three conditions are met:

• 
  
• financial data or payment history is available;
• significant exposure to critical customers, suppliers or counterparties;
• ability to link the risk score to a concrete decision: credit, payment, purchasing, financing or mitigation.

Qualify a finance & risk use case