TOOLBOX

Decision Guide

RPA vs API vs AI

API integration is the most robust option when the app offers one. RPA automates the user interface by mimicking clicks — best when there's no API but the task is rule-based and screens are stable. AI handles unstructured inputs and judgment, like reading documents or classifying text. Answer the five questions below for a recommendation.

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How each approach scores for your task

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Frequently asked questions

What's the difference between RPA, API, and AI automation?
API connects systems directly (most robust when available). RPA automates the UI by mimicking clicks (good with no API, rule-based, stable screens). AI handles unstructured inputs and judgment (reading docs, classifying text).
When should you use RPA instead of an API?
When there's no usable API, the task is rule-based and repetitive, and screens are stable. If a reliable API exists, integrate through it — it doesn't break when a layout changes.
When do you need AI rather than RPA?
When work involves unstructured data or judgment. Often AI and RPA combine: AI interprets the input, RPA or an API carries out the action.

A directional recommendation based on your answers. Real designs often combine approaches; validate with a technical assessment.