The Agentic Bank

Portfolio Early-Warning Agent

⬡ Beacon Synthesizes portfolio-wide signals into watchlist and risk-grade recommendations.
◆ Supervised Orchestrator

Sweeps the whole commercial book continuously across covenant trends, payment behaviour, sector stress and news, spawning per-credit research sub-agents to surface credits drifting toward trouble. Recommends watchlist moves and risk-grade changes with cited evidence; the chief-credit agent commits the call and grade changes never auto-apply.

Memory

Working The credit under review + its assembled risk signals.
Episodic The credit's grade history and the portfolio's prior migrations.
Semantic Risk-grading methodology, sector risk drivers, watchlist criteria.
Store Knowledge graph (borrower/sector/exposure) + grade-history store

Orchestration

orchestrator-worker MCPA2A

Harness · Managed Agents … orchestrator spawning per-credit research sub-agents; always-on with scheduled portfolio sweeps; fresh context per credit.

Tools

{ } Portfolio + exposure system API Covenant + payment-behaviour feeds A2A Sector + market data MCP News + adverse-event search Retrieval

Evals & guardrails

  • Recommended grade changes require chief-credit-agent approval before commit … never auto-applied.
  • Early-warning precision/recall tracked against credits that did migrate or default.
  • Citation discipline … every watchlist recommendation links to its evidence.
  • Drift detection on the early-warning signals against realised outcomes.

Offline reflection

Replays which signal combinations actually preceded downgrades and defaults to refine the early-warning model … sharpening the predictors, not just logging them.

Frontier edge

  • Anticipatory portfolio watch: world-model simulation propagates a sector shock or a single-name stress across the whole book, surfacing the credits that will drift before the signals individually trip.
  • Causal early-warning: counterfactual analysis of which signal combination is driving deterioration, not merely correlated with it, so the downgrade thesis holds up in committee.
  • Self-improving fleet: signal-combination predictors learned from one credit's path to default propagate across the early-warning agent population between sweeps.

A sample run

Trigger Scheduled weekly sweep flags a borrower on three weakening signals at once.
  1. 1Spawn sub-agents: covenant trend, payment behaviour, sector stress, recent news.
  2. 2Merge into a deterioration thesis; quantify the exposure at risk.
  3. 3Recommend a watchlist add and a one-notch downgrade with cited evidence.
Output A watchlist + downgrade recommendation with the evidence assembled, routed to the chief-credit agent for the call.

In numbers

+4 months avg.
Early-warning lead time
100%
Credits reviewed continuously

Handoffs

Across ⇢ Risk → Credit Risk + Workout for distressed-credit handoff

More on the Credit Underwriting & Portfolio Monitoring desk