Enterprise automation has reached its second act. The stable, rule-bound workflows were automated years ago with robotic process automation, and the work left over lives in browsers: on portals a company does not control, behind logins, on pages that change without notice. RPA pioneer UiPath is repositioning around AI agents to reach it.
The short answer: RPA replays recorded steps against fixed screen elements, so it works best when a process looks the same every time. A browser agent drives a real browser toward a goal, reads the page in front of it and decides the next action, so it keeps working when a layout shifts. Most teams run both, and this guide covers how they differ, which workflows to move, and what browser agents need in production.
What Is the Difference Between RPA and Browser Agents?
RPA follows rules; a browser agent follows a goal. An RPA bot is a script: a developer maps each click, field and keystroke to an element on screen, usually through a selector, and the bot replays that sequence on a schedule. A browser agent works in a loop of observe, decide, act and check, with a model choosing each step.
The difference shows up the day a target site changes. A renamed button or a new consent screen stops an RPA bot, and a person handles the work until an engineer repairs the script. A browser agent finds the button by what it does, not by where it sat last week, and escalates only when it is truly stuck.
The best builds mix the two modes. A model handles the steps that vary, such as finding the results table on a redesigned portal, and deterministic code handles the steps that must be exact, such as submitting a form or writing a value back to a system of record.
Why Are Teams Moving Browser Work to Agents Now?
Models can now operate software the way a person does. With computer use, a model reads a screen and clicks and types through it, and frameworks such as Playwright let the same agent mix model-driven steps with exact code.
The old way scaled with maintenance. Every portal a bot touched was a script someone had to repair after each redesign, and the bots that broke most often ran on sites the company did not control. The new way moves that cost from repairing scripts to setting goals: the agent carries the variation, and the engineer tunes the workflow.
RPA does not disappear in the process. RPA platforms now ship their own agent builders and orchestration layers, and an orchestrator still needs real browsers for its web work. Most production failures happen in those browsers: expired logins, blocked sessions and runs nobody can replay.
Which Workflows Should Move From RPA to Browser Agents?
Move the browser work that breaks most often and keep the rest where it is. These are the jobs teams hand to browser agents first:
Portal status checks. The agent signs in to supplier, payer or carrier portals, finds the status of each claim, order or shipment and writes it back to your system. Portals redesign on their own schedule, and the agent keeps working through the change.
Document retrieval behind logins. It downloads invoices, statements and receipts from accounts that offer no API. The files land in one place every day without anyone signing in to fetch them.
Forms that need judgment. It fills applications and onboarding forms where each page asks something slightly different. The model reads the question, and code enters the exact values.
Multi-site research. It gathers prices, listings or public records across dozens of sites that were never worth scripting one by one. Work that was never automated becomes a daily job.
Exceptions from existing bots. When an RPA bot hits a screen it does not recognise, a browser agent takes over the step instead of sending it to a person. The bot keeps the stable path, and the agent handles the variation.
Keep stable internal systems on RPA, along with high-volume flows whose screens rarely change. A bot that has run cleanly for years has earned its place.
What Do Browser Agents Need to Run in Production?
Browser agents need real browsers that start fast, stay signed in, get through bot checks and leave a record of what they did. Solari is agent infrastructure from one API: cloud browsers, sandboxes and desktops for AI agents. Your agent brings the logic; Solari gives it a place to work.
Every portal in one pass. Solari browsers are ready in 8 ms, and with Solari you can launch up to 100,000 browser sessions at once. Your agent checks every account on a list in parallel instead of working through a queue overnight.
Logins that stay signed in. A Solari profile saves your login, your cookies and site data, so your agent signs in once and every later session starts already signed in. Profiles use Playwright's storage state format, so a login you already have uploads as is.
Sites that block automation. Turn on stealth for the portals that block bots, route traffic through a proxy and let Solari solve a CAPTCHA when one appears. Every other site runs on the default browser, which is the fastest to start.
A record of every run. Record a session and replay it later, so when a run fails you can tell a portal outage from a broken step or an expired login. Recording captures input values by default, so keep sessions that type passwords out of it.
Bring the agent you have. Solari works with Playwright and any client that speaks the Chrome DevTools Protocol, so moving an existing agent over is a one-line change to the connection URL.
Some RPA work happens outside the browser, in desktop apps with no API. Solari desktops give a computer-use agent a full Linux computer with a graphical screen, usually ready in about a second, and Solari sandboxes run the code that parses downloaded files, all on one account and one bill. It also costs less: Solari is about 2x cheaper than Browserbase per browser hour.
Where Is Automation Heading Next?
Over the next year the line between RPA and agents keeps moving, in three ways:
Orchestrators route each step. One workflow will send each step to a bot, an API, an agent or a person, whichever fits it best. The question stops being RPA or agents and becomes which step goes where.
Replays as audit evidence. Regulated teams will expect a recording of every automated run, the way they expect logs today. A run without a replay will be harder to approve.
Desktop apps without APIs. Computer-use agents will operate the legacy desktop tools RPA has owned for years, through the screen. The last stronghold of scripted bots opens to agents.
What stays human is judgment: which process to automate, what an agent may submit under the company's name, and the exceptions that need a decision rather than a click. The teams that win will spend their people there and hand the rest to agents.
Get Started With Solari
Start with the browser workflow that breaks most often, such as a portal status check, and run it as an agent next to the existing bot until the results match. Solari is the fastest and cheapest way to run cloud browsers and VMs for browser agents. Get started with a free account and start running your agents today.
