Beyond GenAI

A step-by-step roadmap to the mastering of GenAI

“Moving beyond GenAI” means recognizing that LLMs are not just tools for content creation; they are sophisticated engines for predictive modeling.
By treating these models as quantifiable behavioral entities, we transition from asking AI to “write something for us” to asking AI to “think through this with us.”
This represents a profound leap in how we assess risk, validate strategy, and understand human behavior at scale.


Prompt for data

Extracting quantitative information using GenAI tools requires to properly structure the prompts used to question them to efficiently use their large language models (LLMs)

Machine learning augmentation: Closing the Data Gap

Machine learning is a type of artificial intelligence that enables computers to learn from existing knowledge and experiment results. These models are traditionally used for prediction and can be augmented by GenAI for training data generation and screening in particular

See our demonstration case on: Company Default Prediction

Retrieval augmented generation (RAG)

Retrieval Augmented Generation (RAG) is a critical technique using proprietary or domain specific documents to augment base LLMs to address specific enterprise or applications needs.

See our demonstration case on: Compliance Testing

Qualitative-to-quantitative text analysis

GenAI can "read" text and assign numerical values or categories that can then be counted or classified. When appropriately queried, the values can be turned into probabilities of assertion.

IT processes automation with AI agents

The use of AI agents offers a significant leap forward from traditional task automation by infusing intelligence, adaptability, and autonomy into critical IT processes.

Deductive logic

Prompt engineering and RAG can be used cooperatively to process knowledge represented through expert oriented rules (if-then statements) and enable deductive reasoning leading to enhanced decision making

Behavioral & decision-making quantification

GenAI can adopt a persona and "make decisions" or "behave" in a way that can be quantified. This technique is used to simulate scenarios, which can then be analyzed quantitatively and used in particular to assess multi-criteria decision alternatives

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