The TRIZ Expert Multi-AI-Agent is an AI-based tool designed to help teams develop structured, high-value solutions using the TRIZ innovation methodology. Unlike general-purpose AI models, it uses multiple specialized agents to convert problems, apply TRIZ principles, generate ideas, and prepare professional reports. This structured multi-agent approach ensures better alignment with engineering logic, transparency in reasoning, and repeatability of results. Ideal for organizations aiming to systematize innovation in cost reduction, product improvement, or technical problem-solving. Please note that the price indicated is the yearly price. To continue employing the MULTI-AI_AGENT after 12 months, you have to re-purchase the Agent. 

In complex problem-solving, particularly in engineering and product development, and in cost reduction activities, organizations often face the challenge of generating truly innovative solutions under time and resource constraints. While general-purpose AI models like ChatGPT 4.0 are useful for brainstorming, they are not optimized for structured methodologies like TRIZ, which require step-by-step reasoning, principle-based mapping, and contradiction analysis.

The TRIZ Expert Multi-AI-Agent was developed to address this gap by combining the strengths of TRIZ methodology with the coordination and specialization of multiple AI agents. These agents are also specifically trained for TRIZ application with the documents optimized for LLMs. Instead of relying on a single AI to handle an entire innovation process, this system delegates specific tasks to distinct expert agents:

  • The Problem Converter transforms vague or complex challenges into TRIZ-compatible contradiction statements.

  • The TRIZ Principle Selector identifies the most relevant inventive principles based on the converted problem.

  • The Idea Generator develops multiple solution concepts for each selected principle.

  • The Report Preparer organizes the output into a structured and easy-to-apply format.

A Supervisor Agent manages the workflow, ensuring that each task is completed in the correct sequence and that the logic remains consistent throughout.

This modular, role-based approach mimics how expert human teams solve problems—by dividing tasks among specialists. As a result, it provides several practical advantages over using a general AI like ChatGPT alone:

  1. Consistency and structure: Each agent follows a defined methodology, minimizing randomness and ensuring the process adheres to TRIZ logic.

  2. Transparency: The output includes clear references to TRIZ principles, making the reasoning process explainable and auditable.

  3. Depth: Each stage can be fine-tuned or replaced without disrupting the entire system, allowing users to evolve and adapt the pipeline over time.

Instead of offering generic suggestions, the TRIZ Expert Multi-AI-Agent provides a complete, traceable path from problem to solution. It is particularly valuable for R&D departments, innovation managers, and engineering teams who seek a repeatable, logic-driven method for generating high-impact ideas for problem solution, product development and cost reduction. The Multi-AI-Agent System is designed  to give you 7 Principles application with three solutions each.