Autocapture vs. Optimize: what's the difference?

Autocapture and Optimize run on the same view of how your team actually works, but they're built for different jobs.

Autocapture

Turns real work into documentation. It surfaces the workflows your team runs and lets you turn them into Scribes or Pages — guides your team can actually follow. Every guide is reviewed by a person before it's shared.

Optimize

Turns real work into intelligence. It shows you where a process is slow, inconsistent, or breaking down, and recommends specific fixes — built for people trying to improve how work gets done, not just document it.

You can learn more about Optimize here.

Where they overlap

Both run on the same workflow mapping technology to give you visibility into your team’s work. If your organization uses both, an admin's approved app list and a user's workflow mapping setting apply to both products at once.

Why use both

Autocapture gives your team documentation they can use today. Optimize tells you whether that's the best way to do the work in the first place. Together: your team gets guides to follow, and your leaders get visibility into where to improve.

Good to know

Using Autocapture with a general AI tool like ChatGPT isn't the same as using Optimize. Autocapture's output is human-approved Scribes and Pages — polished documentation. Optimize's output includes the raw variations, edge cases, and friction points behind that work, which is a different, more detailed layer of information.

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