Agentic
by default.

The practice of re-designating existing roles, functions, or organizational structures with agentic AI terminology without a corresponding fundamental change in operational paradigms, technological integration, or strategic intent. This often serves to align with contemporary industry trends or justify other organizational objectives.

An organizational or systemic architecture intentionally designed to integrate AI agents as foundational components for core processes, decision-making, and operational flow. This approach builds the enterprise around agentic principles, moving beyond AI as a supplementary tool to its role as a native structural element.

A fixed set of tasks with known answers, run against a model or an agent to produce a comparable score. Benchmarks make progress legible across systems and over time, which is exactly why they are optimised for — and why a high score is evidence about the benchmark before it is evidence about the work you care about.

Everything around the model that turns it into a working system: the loop that calls it, the tools it may invoke, the state it is handed each turn, the stopping conditions, and the checks that run before its output is accepted. The model supplies reasoning; the harness decides what that reasoning is allowed to do. Two products built on the same model can behave nothing alike, and the harness is usually why.