Two byproduct assets from an agent platform deployed inside banks

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Two byproduct assets from an agent platform deployed inside banks. (1) A cross-institution labeled consumer-complaint corpus: complaint and correspondence texts ingested from multiple channels and classified by severity level, case type, category, subcategory and sentiment, carrying an explicit disagreement signal — the platform's label versus the bank's prior manual label (it surfaced 42 Level-3 complaints mislabeled at one client and caught a 24% mislabel rate on trigger-word cases), which yields paired human/machine labels on regulated complaint text. (2) Per-session account-takeover risk scores and per-customer attrition/propensity segments from sibling agents, computed on behavioral, financial and engagement data across a client's whole book.