The distinction that actually matters
Traditional automation follows a predefined path: if X, then Y. An AI agent decides its own path toward a goal, choosing which tools to call and in what order based on the situation in front of it.
When traditional automation wins
If a workflow is well-defined, high-volume, and low-tolerance for variance — payment processing, standard approvals — deterministic automation remains faster, cheaper, and more auditable than an agent.
When agents win
Agents earn their complexity when a workflow has too many branching paths to hard-code, requires synthesizing unstructured information, or needs to adapt its approach based on intermediate results.
Marcus Ortega
VP of AI & Data Engineering