Syndication & Advisory for Corporate Lending Banks


Use Case Proposal for Syndication & Advisory – Accelerating Multi-Lender Transactions with Scalata


Syndication and advisory are pivotal to enabling large-scale corporate lending, requiring coordination among multiple lenders and precise structuring to manage risk and optimize capital. However, manual workflows across extensive documentation, borrower data, and investor communications slow execution and create operational inefficiencies.


Step 1: Confronting Complex Coordination Challenges

  • Your syndication teams spend significant effort consolidating borrower information, credit terms, and transaction structures from multiple parties using fragmented tools. This manual coordination delays deal execution, elevates risks, and limits the ability to quickly respond to borrower or market changes.

Step 2: Building an Integrated AI Data Core

  • Scalata ingests and harmonizes borrower financials, credit agreements, investor commitments, and regulatory filings into a single, queryable AI-driven platform. This creates a real-time “digital twin” of each syndicated deal, enabling comprehensive visibility and collaborative deal management.

Step 3: Enabling Interactive Deal Management and Scenario Analysis

  • With consolidated data, your syndication officers, credit committees, and advisors can use conversational AI to instantly query deal terms, investor allocations, or regulatory compliance statuses. Questions like, “What is the impact of increasing lender X’s participation by 5% on covenant compliance?” generate immediate insights and facilitate agile structuring.

Step 4: Automating Workflow, Reporting, and Stakeholder Communication

  • Scalata automates generation of term sheets, investor offering memoranda, allocation notices, and compliance reports. Proactive AI agents monitor covenant compliance and deal closing milestones, enabling timely alerts and streamlined communication among all stakeholders.

The Strategic Outcome with Scalata:
You evolve syndication and advisory from manual, fragmented workflows into an integrated, AI-powered operation. This accelerates deal execution, improves risk transparency, enhances lender collaboration, and delivers superior client and investor experiences.