AI Plan Generation System for Financial Modeling
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Solution Overview
Problem
Current financial analysis methods lack efficiency in automatically generating plans that achieve specific goals based on complex multivariate financial models, often requiring tedious trial-and-error processes and excessive computational resources.
Innovation Solution
A system and method utilizing machine learning models, specifically foundation models like transformer models, to generate and simulate plans by providing insights into financial models, autocompleting functions, and providing human-readable explanations, thereby streamlining the process of determining favorable plans and reducing computational burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional financial analysis methods are used to generate plans, then detailed financial modeling can be performed, but the process requires tedious trial-and-error and excessive computational resources
Solution Approach 1:
The patent replaces traditional mechanical financial modeling processes with an AI-based system that uses machine learning models to generate plans. Instead of manual trial-and-error adjustments, the system automatically simulates multiple scenarios and generates optimized plans, significantly reducing computational resource consumption and improving productivity.
Solution Approach 2:
The system enables self-service plan generation where the AI model autonomously performs financial analysis, generates multiple plan scenarios, and provides recommendations without requiring extensive manual intervention. The system serves itself by automatically evaluating and selecting optimal plans based on predefined criteria.
2Measurement precision
If complex multivariate financial models are used, then accurate financial analysis can be achieved, but the complexity increases and requires extensive expertise
Solution Approach 1:
The patent introduces an AI intermediary layer between complex financial models and users. The machine learning model acts as a mediator that simplifies complex multivariate financial models into actionable insights and recommendations, maintaining accuracy while reducing the complexity barrier for users with non-extensive financial backgrounds.
Solution Approach 2:
The system transforms complex financial models into simplified AI-generated plans by changing the representation parameters. Instead of presenting raw complex models, the system outputs simplified, actionable recommendations that maintain analytical accuracy while being easily understandable and implementable.
3Productivity
If automated plan generation is implemented, then productivity increases, but the system complexity increases
Solution Approach 1:
The patent employs a universal AI model that can handle multiple functions including financial analysis, plan generation, scenario simulation, and recommendation provision. This multi-functional approach increases productivity while managing system complexity by consolidating multiple specialized components into a single versatile AI system.
Data Source
AI summary
In variants, a method for plan generation can include: determining a set of plans, selecting a plan, optionally determining a set of tasks for the selected plan, optionally performing the set of tasks, and optionally determining a set of explanations for a primary model. However, the method can additionally and/or alternatively include any other suitable elements.