A practical glossary for automation, system autonomy, AI and CIRMS concepts.
Technologies that reduce manual intervention in processes by defining repeatable criteria, workflows and actions.
The combination of automation with data, analytics and AI techniques to improve decision support and operational efficiency.
The ability of a system to perform programmed operations under defined conditions with reduced manual intervention while remaining governed and observable.
Software-driven automation of repeatable business activities and workflows across one or more systems.
Software bots that imitate human interactions with applications for high-volume, repeatable tasks.
A system combining computation, communication and physical processes through sensors, control and feedback.
AI systems focused on specific tasks or bounded problem domains.
AI models capable of generating content such as text, images, code or structured outputs in response to inputs.
A hypothetical form of machine intelligence capable of general-purpose intellectual performance across a broad range of tasks.
The process of converting operational data into governed, structured, traceable and semantically usable knowledge for AI systems.