RPA executes fixed rules through UIs; AI agents handle judgment and variation through tools — most companies need both, assigned by whether the work
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Deterministic, repetitive, UI-bound work: re-keying between systems without APIs, harvesting reports, filling forms. When rules fully describe the task, RPA is cheaper and more auditable than any model.
Variation. Changed layouts, unexpected inputs, and judgment calls turn rule-bots into maintenance burdens — the classic 'bot graveyard' is RPA assigned to non-deterministic work.
Reading and reasoning: an agent can interpret a messy email, decide which system action applies, and escalate ambiguity — with approval gates while trust is earned.
Agents for interpretation and decisions, RPA (or proper APIs) as hands for legacy systems, rules for the fully predictable. An automation audit assigns each workflow to its cheapest reliable instrument.
Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.
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