Automation vs. AI: what's the difference, and when do you need both?
Automation is deterministic: it follows explicit rules, consistently and quickly. AI introduces judgment — interpreting ambiguous inputs, adapting to context, and making decisions that a fixed rule set cannot anticipate.
The most resilient systems combine both: automation to handle the repeatable, high-volume steps, and AI to manage the exceptions and decisions that require nuance.
When we evaluate a workflow, we look for exactly this split — what can run on rules today, and what would benefit from intelligence layered on top tomorrow.
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