A huge portion of enterprise work doesn't happen inside your internal stack. It happens on the web — in vendor portals, legacy systems, government databases, and SaaS platforms that predate modern APIs. For AI agents to function as true employees, they need to go where the work is. That's what browser use makes possible.

What Is Browser Use?

Browser use gives AI agents the ability to navigate the web the way a human does, not through an API or pre-built connector, but by seeing a page, understanding what's on it, and interacting with it. Clicking, filling forms, logging in, extracting data, submitting inputs. For an agent with browser use, every website is a potential integration. Every legacy system, regardless of age or architecture, becomes part of the automation surface.

The Problem It Solves

Traditional automation has always had a hard boundary: no API, no integration. Enterprises worked around this by having humans manually bridge the gaps: logging into portals, copying numbers, submitting forms. Necessary work, but not where anyone's expertise adds value.

Browser use eliminates that boundary entirely.

What This Looks Like in Practice

A browser use agent can log into your logistics vendor's portal, pull open order status, and update your internal tracking system without anyone touching it. It can monitor competitor pricing across a dozen sites and flag changes before your next pricing review. It can navigate regulatory databases, extract relevant filings, and route them to your compliance team.

Anything a human can do in a browser, the agent can do too, including the long tail of irregular, one-off tasks that are too infrequent to build traditional automation around but too time-consuming to keep handing to people.

Better Together

Browser use becomes especially powerful alongside computer use. An agent can gather external data through browser use, process and analyze it internally, generate a formatted output, and deliver it — end-to-end, no handoffs, no manual steps.

In Part 3, we'll cover the final piece: multi-agent teams, and how orchestrator agents enable AI to tackle the kind of complex work that previously required entire human teams to coordinate.

See how StackAI's browser use agents handle the workflows your team does manually by booking a demo.