AI & ML Glossary
Plain-language definitions of the AI and machine-learning terms that matter to business decision-makers — each linking to a fuller explainer.
Artificial Intelligence
July 15, 2026GlossaryAgentic AI
Agentic AI refers to AI systems that pursue goals autonomously — planning multi-step tasks, using tools, and taking actions with limited human oversight, rather than only responding to a single prompt.
July 15, 2026GlossaryAI Agents
An AI agent is a software system that uses an AI model to perceive context, decide, and act toward a goal — calling tools, querying data, and completing multi-step tasks on a user’s behalf.
July 15, 2026GlossaryAI Governance
AI governance is the framework of policies, controls, and oversight that ensures AI systems are used safely, transparently, and in compliance with regulations and business standards.
July 15, 2026GlossaryContext Engineering
Context engineering is the practice of supplying an AI system with the right data, definitions, and institutional knowledge it needs to produce accurate, business-specific answers and actions.
July 15, 2026GlossaryEnterprise AI
Enterprise AI is the application of artificial intelligence at organisational scale — integrated with business systems, data, and governance to deliver measurable outcomes across functions.
July 15, 2026GlossaryExplainable AI (XAI)
Explainable AI (XAI) refers to methods that make an AI model’s decisions understandable to humans — showing why a prediction was made — which is essential for trust, compliance, and debugging.
