Enterprise AI Glossary
The definitive reference for modern IT consultancy terminology, cognitive architectures, and agentic workflows.
Agentic Automation
A paradigm where AI systems possess the autonomy to formulate plans, execute multi-step workflows, and dynamically correct errors without human intervention, replacing rigid, rules-based RPA.
Cognitive Architecture
The underlying structural design of an enterprise system that integrates machine learning, reasoning engines, and data pipelines to simulate human-like decision-making at scale.
Generative Engine Optimization (GEO)
The strategic practice of optimizing digital content with high-density facts, statistics, and expert quotes to ensure it is cited by generative AI models like ChatGPT Search and Perplexity.
Self-Healing Workflows
Automated processes equipped with AI monitors that detect failures, diagnose root causes, and automatically implement patches or alternative execution paths in real-time.
Large Language Model Optimization (LLMO)
The process of entity-building across the broader internet (e.g., GitHub, Digital PR) to ensure an organization is heavily represented in the parametric memory and training data of foundational AI models.
Predictive Analytics
The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data, primarily used for supply chain and inventory optimization.
