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Formerly known as Global Research & Risk Solutions

  • Crisil Integral IQ
  • Covenant Monitoring
  • GenAI
  • Private Debt
  • Thought Leadership
March 27, 2026 Content Type Case study

Covenant monitoring for existing loan agreements

March 27, 2026 Content Type Case study
 

    Objective

     

    • A US-based private credit fund sought to improve portfolio monitoring efficiency for an existing fund by tracking changes in credit metrics across some 100 active deals
    • We developed and implemented a GenAI agent using a large language model (LLM) for a covenant monitoring solution that reviews credit agreements, structures covenants, and delivers monitoring insights benchmarked to current credit metrics

    Our solution

     

    • Mapped the existing covenant monitoring process with the deal team, reviewing spreadsheets and loan documents to identify the key data points and reporting needs
    • Trained an LLM on the fund’s historical loan agreements, using tagged examples of financial covenants, non financial covenants, waivers and default triggers
    • Integrated borrower-level tracking for each deal by extracting and organizing terms into a structured covenant register, listing the metric, threshold, test date, measurement basis and carveouts
    • Validated new financial information from compliance certificates and benchmarked them against the agreed covenants, highlighting headroom, potential  breaches and items requiring follow up for new financial information
    • Delivered structured excel-based reports and a portfolio level dashboard, giving deal teams a single, actionable view of covenant status, and priority alerts, aligned to internal CIO reporting needs

    Client impact

     

    • 60% time saving - Reduced covenant capture time from days per deal to under a few hours, including human review and sign‑off, while keeping deal teams firmly in control of the output
    • 250+ documents processed quarterly - Improved coverage and consistency across 100 deals, enabling faster response time
    • 90%+ data accuracy - Consistently refining and retraining model helped achieve a high accuracy rate with fewer missed or misinterpreted covenants
    • 5% exception identified - Enabled proactive portfolio management; initiated earlier engagement with borrowers based on exception reports
    • Compliance adherence - Maintained full audit trail of all LLM outputs, edits and approvals to manage regulatory/compliance reporting needs
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