The Agentic Bank

Complaint Trend Analysis Agent

⬡ Litmus Classifies complaints and surfaces conduct trends and root causes.
◆ Assistive Router

Reads every customer complaint, classifies it consistently against the taxonomy, and watches for the cluster that signals a systemic conduct problem. Emits an early-warning signal with root-cause leads and routes conduct-risk trend findings to the conduct investigation agent for action.

Memory

Working The complaint + the classification taxonomy.
Episodic Recent complaint volumes and emerging clusters.
Semantic Complaint categories, product taxonomy, and conduct-risk indicators.
Store Complaint store + trend warehouse

Orchestration

MCP

Harness · Managed Agents … batch classification + scheduled trend-synthesis runs.

Tools

{ } Complaints management system API Product + channel taxonomy Retrieval ›_ Trend analytics Code exec

Evals & guardrails

  • Classification accuracy vs. a labelled set; agent-as-judge sampling.
  • Emerging-cluster precision tracked; a missed systemic trend is a control failure.
  • Conduct-risk trend findings route to the conduct investigation agent for action.

Frontier edge

  • Proactive early warning: forecasts which nascent cluster will tip into a systemic conduct problem before the volume confirms it, flagging the trend weeks ahead of the regulatory matter.
  • Causal root-cause leads: distinguishes complaints driven by a real product or process fault from coincidental co-occurrence, so the lead handed to conduct review is actionable, not noise.
  • Multimodal intake: classifies complaints arriving as voice calls, scanned letters and chat transcripts natively, so nothing escapes the trend signal for lacking a clean text field.

Handoffs

Across ⇢ CCB / Commercial (complaint source)⇢ Compliance → Conduct surveillance where a trend implicates a desk

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