A confidential mid-sized enterprise (under NDA)

AI-powered Document Anomaly Monitoring Agent

Time:
2025 first half
Team:
9
Industy:
AI
Engagement model:
Dedicated Team
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Technology Stack

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About the client

A confidential mid-sized enterprise (under NDA) operating in finance and legal services. The client handles high volumes of contracts and invoices shared between legal, finance, and third parties.

Objectives

  • Detect unauthorized changes in contracts, invoices, and other sensitive documents.

  • Prevent fraud or liability caused by unnoticed edits or swapped bank account details.

  • Shorten the document review cycle and reduce manual errors.

Solution

An AI-powered Document Anomaly Monitoring Agent was implemented to track and verify all changes across multiple versions of documents in real time.

Key Features:

  • Monitors every file version stored in SharePoint and Google Drive.

  • Runs semantic difference checks against the original Letter of Intent (LoI) or agreed contract baseline.

  • Automatically flags changes in clauses or payment details.

  • Generates redlined summaries for quick, one-click stakeholder review and approval.

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Results

  • Review cycle time cut from 7 days to 1 day
  • Over 95% of unauthorized edits caught before signature

  • Zero wrong-account payments reported after implementation

 

Business Value

The Document Anomaly Monitoring Agent significantly improved contract integrity and financial security. By catching unauthorized changes in real time, the company avoided costly mistakes, reduced fraud risk, and eliminated long, manual review cycles. The solution saved legal and finance teams valuable time and built trust across departments and external partners.