Deal Origination with AI

Overview

The financial services industry encounters significant friction in early-stage deal origination. Analysts must comb through a variety of different documents for each client, conglomerate that information, and then evaluate it on specific strategic parameters.

The time-intensive evaluation and research processes introduce inefficiencies that delay the speed at which deals can be processed, and does not provide enough clarity into the how and why a deal was evaluated a certain way.

The application seeks to address that challenge by automating the manual steps of the deal origination process, from document data extraction to deal evaluation synthesis. This allows for a more intelligent, transparent, and streamlined operation.

Features & Functionality

• Appian DocCenter-powered document extraction: Automatically extracts key data from financial statements, capturing details like total assets and total liabilities to reduce manual entry and speed up processing
• Multi-factor deal financial score system: Evaluates a deal against a provided strategy document, providing a concise analysis of the positive and negative factors contributing to a deal's viability.
• AI Skill-powered document summarization: Analyzes documents such as Non-Disclosure Agreements, Confidential Information Memorandums, and Process Letters to detect and summarize the most crucial information, providing the analyst with the main details needed for review.
• Approval workflows: Allows for authorized individuals to provide human input on whether or not to move forward with a deal
• User-friendly list view of deals, with detailed drilldowns available: Provides visibility and transparency into the data found by the system, allowing for both an intuitive overview and the potential to dive deeper into the actual documents.

Benefits & Business Impact

• The solution transforms the deal origination experience for financial services organizations by replacing manual, time-intensive processes with an intelligent, automated workflow.
• By automating data extraction and analysis, evaluation and research timelines are significantly reduced, turning what traditionally takes days into a process completed in minutes.
• Operational efficiency is improved by minimizing manual effort from Deal Originators and Investment Analysts. Tasks such as summarizing documents, generating a screening memo, and sending an outreach message are handled by AI, allowing teams to focus on higher-value decisions instead of administrative work.
• Transparency is increased through AI-driven analyses that reduce human error and variability. Documents are assessed against standardized criteria and discrepancies are flagged systematically, strengthening the consistency of the evaluations.
• User-friendly views of deals along with detailed drilldowns provide instant access to deal insights, enabling faster and more informed decision-making and enhancing operational performance.
• Ultimately, organizations can scale deal origination workflows without increasing headcount, achieving a more efficient and transparent deal origination process.