Generative-AI
Pioneering Generative AI for Private Equity
The Private Equity Generative AI group at A&M is actively working on a comprehensive suite of products and solutions aimed at helping Private Equity firms leverage Generative AI technologies. These tools are designed to identify performance improvement opportunities throughout both the pre-acquisition and post-acquisition phases, ensuring that our private equity clients can maximize value at every stage of their investment.
The foundation of our Generative AI solutions is A&M's bespoke Private Equity Chain of Thought framework. This involves:
- A multi-modal problem-solving orchestration layer that facilitates data collection, organizes problem solving and enables in-depth analysis and knowledge retrieval.
- A&M’s "What/So-What/Now-What" methodology, harnessing proprietary analysis trees for a structured and comprehensive problem-solving approach.
- Continuous adaptation and training, with the tool consistently drawing insights from A&M's extensive database, ensuring it continues to improve with usage.
- A dynamic knowledge base reflecting A&M's rich operational legacy, coupled with a state-of-the-art data analysis engine.
In addition to this framework, our Generative AI based internal engagement support tool, A&M DiligenceGPT, facilitates hypothesis formulation, potential issue identification and provides an initial point of view based on document reviews. Additionally, it offers data visualization, analyzes past project outcomes for insights and enhances meetings with tailored agendas, summaries and checklists. It also aids in contract analysis and web research. The tool has already been employed in over 100 engagements within A&M.
By integrating the tool with our rich historical data and expertise, we ensure that our analysis isn't just broad—it's deep, offering actionable solutions tailored for our private equity clients.
Generative AI Platform Demonstrations
A&M DiligenceGPT Orchestrating PE Chain of Thought
A&M DiligenceGPT Managing Quantitative Analysis
