Design of workflows that combine AI models, APIs, data processing, and business or research steps into automated processes.
Workflows can include triggers, queues, model calls, validation, branching, human review, notifications, and system integration.
Applications include research processing, document workflows, data pipelines, reporting, and repetitive technical tasks.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.