Client Risk Monitor

Spot deteriorating clients before losses materialize

Credit deterioration rarely happens overnight—it shows up first in subtle signals: a rating downgrade, a spike in facility utilization, a missed payment.

Rating downgrade: Internal rating drops by one or more notches
PD threshold breach: Probability of Default increases above a defined level
Client summary header with current rating, PD, Loss Given Default (LGD), and expected loss
Exposure breakdown by product type: term loans, revolvers, letters of credit, derivatives

Portfolio Risk Alert

3 clients flagged • Rating deterioration detected

Action Required
Clients Flagged
3
Total Exposure at Risk
€18.4M
Avg PD Increase
+45%
Utilization >90%
2 clients
Highest Priority
Acme Industries€4.2M exposure
Nordic Shipping€8.1M exposure
Metro Retail€6.1M exposure
Recommended Actions
Review limitsRequest financialsEscalate to committee

Built for risk leaders
who demand complete visibility

Credit deterioration rarely happens overnight—it shows up first in subtle signals: a rating downgrade, a spike in facility utilization, a missed payment.

Chief Risk Officers

Portfolio-wide oversight

Risk Managers

Risk assessment & mitigation

Relationship Managers

Actionable client conversations

Collections Teams

Better timing & prioritization

From alert to action in minutes

The objective of this agent is to reduce unexpected credit losses through early intervention.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Rating downgrade: Internal rating drops by one or more notches
  • PD threshold breach: Probability of Default increases above a defined level (e.g., >5%)
  • Utilization spike: Facility utilization jumps more than 20 percentage points within 30 days
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Client summary header with current rating, PD, Loss Given Default (LGD), and expected loss
  • Exposure breakdown by product type: term loans, revolvers, letters of credit, derivatives
  • Limit utilization tracker showing committed vs. drawn amounts across all facilities
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Trigger diagnosis: Identifies the specific event that triggered the alert—rating change, utilization spike, payment issue—and retrieves the underlying data.
  • Exposure quantification: Calculates total exposure at risk across all facilities, including drawn amounts, undrawn commitments, and contingent exposures.
  • Collateral adequacy check: Compares current collateral coverage against policy requirements and market values, flagging any shortfalls.
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Alert summary: One-paragraph overview of the trigger event, client situation, and exposure at risk
  • Severity assessment: Classification (watch, substandard, doubtful) with rationale based on analysis
  • Exposure detail: Breakdown by facility with drawn amounts, limits, and expected loss figures
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for risk teams

Concrete, measurable value for your team from day one

Fast Response

Faster response to deterioration

Before: 2-3 days to manually compile client data after a rating change. Now: complete risk assessment delivered within minutes of the trigger event.

Lower Loss

Earlier detection of problems

Catch utilization spikes, payment delays, and rating trends before they escalate to losses, potentially reducing loss severity by 10-20% through earlier intervention.

Compliant

Quantified action recommendations

Move from "we should watch this client" to "reduce revolver limit by $1M and request $1.5M collateral to restore policy compliance."

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Credit Risk System: Internal ratings, PD/LGD estimates, expected loss calculations, rating history
Loan Origination System (LOS): Facility details, limits, drawn amounts, commitment types
Core Banking / Transaction System: Payment history, account activity, utilization patterns
Collateral Management System: Pledged assets, valuations, coverage ratios, lien positions
Credit Score
Loan
Payment History
Collateral
Client
Watchlist

Ready to explore Client Risk Monitor?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.