Compliance Agent

Case Narrative Creation

Instant, structured case summaries tailored to your team's workflow.

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Where it Helps

The Case Narrative Creation agent uses AI to instantly generate structured case summaries from live case data — transaction history, risk signals, workflow results, and subject profile. Analysts receive an editable draft in seconds, all within the Investigate tab. Each team configures their own narrative structure. The right template is automatically applied based on the case queue — no manual selection needed.

Key Capabilities

Queue-Scoped Templates

The right template is automatically applied based on the case's queue — no analyst action required.

Fully Custom Sections

Admins define every section: label, instruction, and examples. No hardcoded structure.

Example Narratives

Upload PDFs or paste plain text to guide the AI's style and format.

Fallback Logic

Tenant default ensures generation always succeeds, even for queues without a dedicated template.

Live Streaming Output

Narrative streams token-by-token — analysts see results immediately.

Fully Editable Drafts

Every generated narrative is editable before being saved to the case record.

Audit-Ready Storage

The final saved narrative is persisted to the case record — prior drafts and intermediate edits are not retained, ensuring a single, clean source of truth for audit and reporting.

Admin-Governed Access

Template creation is restricted to admins, ensuring consistent governance.

How it Works

Admin Configures Templates

Create custom sections and examples in AI Agent Hub, then assign each template to a queue.

Analyst Opens a Case

The system detects the queue and auto-selects the correct template. Analyst clicks Generate.

Narrative Streams Instantly

Trigger additional review steps when applications require more scrutiny or supporting documentation.

System & Data Connectivity

A structured, editable draft appears in seconds — ready to review, refine, and save.

Popular Use Cases

AML & Compliance

Transaction Monitoring Subject Profile, Transaction Summary, Sanctions Hits, and Investigative Findings — auto-populated from case data

Fraud Operations

Device signals, velocity patterns, and chargeback history in a consistent narrative structure

Credit Review

Applicant profile, income signals, and underwriting rationale summarized for the reviewer

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