Salesforce Unveils Headless 360 to Power AI Agent Workflows
Salesforce has launched Headless 360, exposing its entire platform to AI agents via APIs and tools. The move redefines how enterprise software is accessed and used.
An AI workflow is the end-to-end sequence used to turn a problem and its data into a functioning artificial intelligence system. Depending on the application, it may include data collection, cleaning, labeling, model selection, training, evaluation, deployment, monitoring, and feedback. Generative AI workflows can also add retrieval, prompt construction, tool calls, guardrails, and human approval steps. Mapping the workflow makes dependencies and failure points visible: poor inputs can undermine a strong model, while missing monitoring can allow quality to decline unnoticed. Well-designed workflows define ownership, measurable acceptance criteria, data-handling rules, and fallback behavior for cases the system cannot handle safely.
Salesforce has launched Headless 360, exposing its entire platform to AI agents via APIs and tools. The move redefines how enterprise software is accessed and used.
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