How to build a Term Sheet Agent
This agent automates the synthesis and formatting of term sheets.
Challenge
Manual term sheet creation is slow, inconsistent, and prone to errors, especially when synthesizing complex financials.
Industry
Finance
Department
Compliance
Content Creation
Integrations
OpenAI
TL;DR
This agent automates the creation of professional loan term sheets by combining user-provided company names and uploaded financial documents, using AI to generate a ready-to-present output.
What It Does:
Collects a company name and relevant financial documents from the user.
Uses AI to analyze the financials and generate a detailed, professional loan term sheet.
Formats the term sheet for easy presentation or sharing.
Who It’s For:
Credit analysts and underwriters
Deal teams preparing for credit or loan committee review
Time to Value:
Minutes—from document upload and company name entry to a finished, formatted memo and term sheet.
Output:
A professionally formatted, markdown-based term sheet, ready for review or presentation, tailored to the specific company and its financials.
Common Pain Points of Term Sheet Generation
Manual drafting of term sheets is time-consuming and error-prone.
Inconsistent formatting and missing key sections.
Difficulty in quickly synthesizing complex financials into clear terms.
Repetitive work for each new loan proposal.
Delays in preparing documents for investment committees.
What This Agent Delivers
Automated, consistent generation of term sheets.
Inclusion of all key loan terms and conditions.
Professional formatting for immediate use.
Rapid turnaround from input to output.
Reduced manual effort and risk of omissions.
Step-by-Step Build (StackAI Nodes)
1) Input Node: Company
What it does:
Collects the company name from the user.
Goal:
Ensure the term sheet is personalized and accurate for the intended borrower.
2) Files Node: Financials
What it does:
Allows the user to upload financial documents (with OCR support for scanned files).
Goal:
Extract and process all relevant financial data for AI analysis.
3) LLM Node: Term Sheet Generator
What it does:
Uses an advanced AI model to analyze the company name and financials.
Generates a detailed term sheet covering all required sections (Borrower, Loan Amount, Interest Rate, Term, Repayment Schedule, Collateral, Covenants, Fees, Conditions Precedent, Key Risks).
Goal:
Automate the synthesis of complex data into a clear, professional document.
4) Template Node: Format Term Sheet
What it does:
Formats the AI-generated term sheet in markdown, including the company name as a heading.
Goal:
Ensure the output is clean, readable, and ready for presentation.
5) Output Node: Term Sheet Output
What it does:
Presents the final, formatted term sheet to the user.
Goal:
Deliver a ready-to-use document with no further editing required.