Use Case Proposal for Deal Structuring – Streamlining Complex Structured Finance Transactions

In structured finance, deal structuring demands precision, agility, and comprehensive insight. Teams face immense pressure to design, negotiate, and execute complex transactions that optimize capital structures while managing layered risks. Traditional workflows are weighed down by manual scenario modeling, fragmented data sources, and time-consuming document analysis, often slowing decision-making and increasing exposure to errors.
Step 1: Tackling Structural Complexity and Inefficient Modeling
- Deal teams spend excessive time extracting detailed terms from extensive prospectuses and legal documents, reconciling disparate loan tapes, and running fragile cash flow models in spreadsheets. Manual processes delay scenario testing and increase the risk of overlooking critical structuring variables, limiting the ability to respond to market dynamics and investor demands swiftly.
Step 2: Building a Unified Data Foundation with AI
- Scalata initiates transformation by ingesting all deal documentation, loan data, and legal agreements into a centralized AI-powered platform. The AI interprets and structures complex data points, linking deal terms with performance metrics and cash flows to create a comprehensive, single source of truth for analytics and modeling.
Step 3: Enabling Interactive Scenario Analysis and Structuring
- With structured data accessible, deal teams use Scalata’s conversational AI to pose complex questions such as, “What is the impact on the mezzanine tranche if prepayment speeds increase by 15%?” or “Compare refinancing scenarios across multiple CLOs.” Responses include instant calculations, visualizations, and sensitivity analyses, enabling faster and more informed deal structuring decisions.
Step 4: Proactive Deal Monitoring and Automated Documentation
- Scalata’s AI agents continuously assess deal performance against defined thresholds, alerting teams to potential structural risks or arbitrage opportunities. The platform automates the generation of key deal documents, term sheets, and investor presentations, accelerating the approval cycle and improving transparency with all stakeholders.
The Strategic Outcome with Scalata:
Deal structuring evolves from a painstaking, error-prone process into a dynamic, AI-powered capability. Teams gain unprecedented speed and accuracy in modeling, flexibility for iterative deal adjustments, and enhanced ability to tailor structures to market conditions and investor preferences. This leads to optimized capital deployment, superior risk management, and greater competitive advantage in the structured finance market.