Agentic workflows don't follow scripts — they reason, adapt, and optimise autonomously using 70+ data signals at every decision node.
Leo evaluates purchase history, corporate profiles, search behaviour, and engagement patterns simultaneously to choose the optimal branch.
Feedback loops let workflows learn from downstream outcomes — opens, replies, purchases — and improve upstream decisions continuously.
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