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Operational Risk Loss Data Collection demo

Each operational loss found in the ledger, grouped into one event with its recoveries, and classified by Basel type 1:30

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What the demo shows

Operational risk teams find GL loss events, group them, classify by Basel type and approve them

A Finder agent reads every entry in the accounts where operational losses land and the incident tickets, and sets aside reversals, accruals, normal charges and credit-boundary charges with the rule for each. A Grouper agent joins entries into one event by wire reference, ticket and legal matter, keeps recoveries separate and re-opens an event when a related entry posts. A Classifier agent proposes the Basel event type and business line with its reasoning and citations, beside the business line's own tag, and asks when it is unsure. A Narrative agent drafts descriptions and notices, a Restriction agent keeps BSA links to a flag, a Reconciliation agent ties the database to the ledger each month, and a Reporting agent builds the quarterly file and the committee summary. The analyst approves, reclassifies or splits; the validator checks every reclassification, split and event of $100,000 or more, and a sample of the rest.

Transcript

  1. Operational Risk Loss Data Collection finds every loss in the ledger, for operational risk teams.
  2. Banks reported over 13 billion euros of losses last year; here, 17 of 29 had no form.
  3. Agents sieve 4,812 ledger entries down to 68 candidate events.
  4. The Grouper joins the reimbursement, legal fees and recovery: business email compromise, net loss $176,900.
  5. The Classifier overrules the process-error tag: External Fraud, citing the ticket.
  6. Elena asks why, reads the cited answer, then approves with a reason code.
  7. The second-line validator confirms it; nobody checks their own decision.
  8. Monthly, the database ties to the ledger; August's legal-fee gap is explained.
  9. Every step is on the audit trail, with examiner packs.
  10. The result: losses captured within five days, nothing unexplained at month-end.
  11. Built on Botminds: agents, data, screens and governance on one platform.

The narration as written for the film. Captions are on the player.