Most AI automation tools are built for simple tasks. Enterprise workflows are different — they touch real systems, real data, and require real accountability. AI Automation lets users build complex, multi-step workflows with a simple prompt, while Island enforces policy, respects user permissions, and keeps humans in the loop before any sensitive action is taken. Built-in ROI tracking makes it easy to measure the time saved. The gap between a 10-minute process and a 10-second one is finally closeable, without cutting corners on governance.

Read on for a transcript of the AI Automate demo video.

Now let's walk through AI Automation — how to create workflows that span different websites or services. AI can take a customer process from 10 minutes to 10 seconds.

All AI vendors offer some form of automation, but there's a meaningful difference between suggesting a hotel booking and creating and executing an enterprise transaction. The accuracy requirements are different. The policy requirements are different.

There are a few methods we use: analyzing the page structure, reading the page content as an image the way eyes would, and identifying more deterministic approaches like API calls or MCP servers.

Let me show you how easy it is to create a workflow. You have a library of built-in skills. To create a workflow, you simply prompt it. For example: get all of my leads from Salesforce, then send a cold outreach email about Island Enterprise.

The system thinks through the best course of action using the available skills. If I want to refine it — say, only contact leads I haven't reached before — I just add that instruction and save.

When I run it, the agent evaluates the organizational policy, confirms what the user is entitled to do, contacts Salesforce via API, fetches leads, uses AI to determine which ones haven't been contacted, and then keeps me in the loop for any sensitive action. I select the leads I want to process, review the email before it's sent, approve it, and it goes. All while I continue working in other tabs.

We've also built in ROI tracking — one of the biggest challenges in AI enablement. We can show a detailed view of which users are running which workflows, success rates, time to complete, and most importantly, how much time was saved.

What AI did is make it easy to create regular workflows. What we did is leverage that to create more deterministic workflows, tie them into enterprise services, and deliver them through the Island browser. Real examples include automating media publishing in Amazon, logging into Facebook to learn the latest issues, updating account permissions, updating PO numbers, and resolving incidents.

This is real. It's happening. It's easy to deploy. And the product is getting better every day.