An AI agent that helps portfolio managers spot risk signals across large loan books, understand what's happening, and decide what to do next — shown at Moody's Summit 2026 in San Diego.
Portfolio managers track hundreds or thousands of loans at once. Risk shows up as a pattern across filings, market signals, and borrower behavior — easy to miss manually, and often too late to act on by the time it's obvious. The design problem: make an early signal visible, credible, and actionable, without adding another dashboard nobody checks.
The agent surfaces signals a human might miss, explains what's happening and why in plain language, and proposes a next step — always a suggestion, never an action taken automatically. The portfolio manager stays the decision-maker throughout.
Surface accounts with changing risk signals across the whole portfolio.
Explain what changed and why, with a confidence level and sources.
Suggest a next step, backed by a what-if simulator for milder or worse scenarios.
Figma Make got this from concept to a clickable prototype fast enough to put in front of portfolio managers well before a full build. The hardest question wasn't layout — it was calibrating how confidently the agent should speak, which only real risk professionals reacting to draft language could answer. That's what led to the explicit confidence badges: high for direct, quantifiable signals; lower for pattern-based inference — a distinction a PM needs to see at a glance.
The Early Warning System was showcased at Moody's Summit 2026 in San Diego, drawing notable interest from client decision-makers — a strong signal the design was solving a real, felt problem.