AI Agents

Context

Built for banking within the Garnishment processing stack, this agent is used when legal orders arrive from courts or authorities and must be interpreted quickly and accurately before funds are frozen or remitted. Typical scenarios include single and recurring orders, amendments or renewals, and multi-jurisdiction filings that differ in format and required fields.

What it does

The agent ingests the garnishment packet and extracts the essential instructions: issuing authority, case and docket numbers, debtor and creditor names, identifiers and addresses, order type, effective dates, amounts and limits, employer or bank obligations, exemptions, and remittance details. It normalizes the fields into your operational schema, detects amendments or superseding orders, and links each extracted value to its exact page and paragraph so reviewers can verify the instruction without scanning the entire document.

Core AI functions

Document type detection routes orders, amendments, and notices to the right parsing logic. OCR and entity extraction are tuned for legal language and tabular layouts. Normalization aligns dates, amounts, and party identifiers; clause detection highlights obligations, exemptions, and priority statements; and version awareness recognizes renewals or cancellations. Confidence scoring marks low-certainty items and generates targeted exception prompts rather than stopping the workflow.

Problem solved

Legal orders arrive in varied formats and wording; manual interpretation is slow and error-prone. Missing a clause, misreading amounts or dates, or overlooking an amendment creates downstream risk, customer impact, and rework.

Business impact

Execution becomes faster and more reliable. Teams spend less time deciphering orders, freezes and remittances are based on complete and correct instructions, and downstream steps (matching accounts, calculating enforceable balances, notifying customers and authorities) start sooner with fewer corrections.

Integration and adjacent use cases

Integration is light to moderate: the agent reads PDFs or scanned images from intake, email, or DMS and publishes a structured order record into your case management or orchestration layer; there are no changes to cores. Exceptions are routed to existing queues with the evidence view attached.

Most banks pair this agent with:

• Customer & account matcher (to identify the correct debtor and accounts),

• Funds availability & freezing agent (to apply the freeze and compute enforceable balances),

• Multi-order prioritization agent (to resolve overlaps and expiries),

• Notification & communication generator (to produce compliant notices and remittances), and

• Garnishment exception handler (to manage non-supported jurisdictions, duplicates, or incomplete orders).