AI Automation vs Intelligent Automation
AI automation uses models to make judgment calls inside a task; intelligent automation combines that with process mining, RPA, and workflow orchestration across a business.
In plain English
The two phrases are often used as synonyms, but in enterprise software they mean different things. AI automation refers to using a model — classification, generation, extraction — inside a workflow step. The step that used to need a human judgment now happens automatically. Intelligent automation (the term of art in consulting and the big-4) refers to the broader program: process mining to find opportunities, RPA to automate UI-level tasks, BPM to orchestrate flows, and AI models sprinkled at the judgment points.
For a small business, the distinction is academic. For an enterprise, it matters: intelligent automation is a multi-year transformation program, while AI automation can be a point solution shipped in a week. The two are complementary — AI automation is usually what unlocks the biggest wins inside an intelligent-automation program.
Why it matters for Black Box
Black Box is positioned between the two. It is richer than point-solution AI automation — it has a CEO agent, specialists, playbooks — but lighter than enterprise intelligent-automation platforms that cost six figures and need a consulting engagement. It is the package a small business needs and an enterprise team uses for specific wedges.
Examples
- AI automation: a model that drafts support replies inside Zendesk.
- Intelligent automation: a program that maps claims processing, automates the steps with RPA, and uses AI to classify and extract.
- Black Box: the owner says "triage my inbox," and the AI company does it end to end.