Case StudiesMIC Portfolio Risk Monitor
At-risk positions flagged automatically before they become losses.
Challenge
Real-time portfolio monitoring across LTV ratios, exit options, and appraisal risk. At-risk positions flagged automatically before they become losses.
What we built
We built an AI monitoring system that tracks the entire portfolio in real time - analyzing LTV ratios, flagging positions approaching risk thresholds, processing appraisals automatically, and ranking exit strategy options by viability as conditions change. Nothing waits for a scheduled review.
The model
Outcome
Full portfolio visibility in real time across all active positions.
Client details and delivery specifics are confidential. References available on request.
