Operations team scrapes competitor pricing daily
An AI agent opens the competitor site, navigates to pricing pages, extracts data, and logs it to a spreadsheet, every day, no human touch.
Browser Automation
Most automation tools can read a public web page and stop there. The moment a task needs a real login, a multi-step form, or clicking through an actual workflow, they fall over. Browser Automation gives an employee a real browser on your own machine, driven through the desktop companion app, so it can navigate, click, type, and pull data out of sites the same way you would, including the ones that live behind a sign-in.
Some tools do not have APIs or integrations. Your employee handles them anyway. It opens the browser, navigates to the page, reads the content, fills in forms, clicks buttons, and completes multi-step workflows. Any web application you can use manually, your employee can use too.
This is not scripted macro playback that breaks when a page changes. Your employee understands the page structure, reads labels and content, and adapts to layout changes. If a button moves from the left sidebar to the top menu bar after a redesign, it still finds and clicks it. If a form adds a new required field, it fills it based on context.
Browser automation is especially valuable for tasks that span multiple web apps. Your employee can log into your CRM, pull contact data, switch to your email tool, compose a message, then switch to your project tracker and update the status. One instruction, multiple apps, zero manual tab-switching.
AI Agents That Navigate the Web Like a Human
Browser Automation gives your AI employee the ability to operate any web-based application: navigate to a URL, log in, fill out forms, click buttons, extract data, and submit actions. If a human can do it in a browser, the agent can too.
This is not scraping. It is full browser interaction. Your autonomous agent can log into your CRM, update a contact record, check an invoice status in your accounting tool, and come back with results, all from a single natural language instruction. No API integration required.
It is also not a separate app you open to browse the web. Unlike a standalone AI browser, this capability lives inside the same employee that already knows your business context, so it is not doing general web research, it is operating the specific tools your business runs on, using the same memory and judgment the employee applies on every other channel.
Multi-App Workflows Across Any Web Platform
Real business workflows span multiple tools. Browser Automation lets a single AI agent move between web apps in sequence: pull data from one platform, process it, and enter it into another. Research a company in LinkedIn, check their domain in a WHOIS tool, and log the result in your CRM. One task, three apps, zero manual steps.
Combined with scheduling, browser automation becomes a hands-free pipeline. An AI employee can run a cross-platform workflow every morning, extract what changed overnight, and file a report in Drive before your team starts work. Agentic AI that handles the repetitive multi-app work so your team does not have to.
Approval-Gated for High-Stakes Actions
Not every browser action should run without review. Browser Automation supports approval gates: the agent pauses before submitting a form, making a purchase, or taking an irreversible action, and asks for confirmation. You define which action types require approval. The agent respects those boundaries.
Full session logs are saved so you can replay exactly what the agent did, page by page, click by click. Transparency is built in. You always know what your autonomous agent did in the browser, not just what it reported.
Browser Automation vs Web Scraping and RPA Scripts
A scraper or a recorded RPA script pins itself to a page's exact structure: a CSS selector, an XPath, a fixed sequence of clicks. The moment the site ships a redesign or renames a field, the script returns empty data or breaks outright, and a developer has to go fix it. That maintenance tax is why most teams give up on automating internal portals and vendor tools.
Your AI employee reads the page the way a person does. It understands labels and layout, finds the element it needs, and adapts when the design changes, so a moved button or a new required field does not stop it. There is no selector to update and no script to babysit. You describe the goal in plain language, and the agent works out how to reach it on whatever the page looks like today.
What Your AI Employee Can Do in the Browser
Log into the web apps you already use, with or without an API: CRMs like HubSpot and Salesforce, vendor and supplier portals, bank and invoice dashboards, job boards, and internal admin panels. It fills forms, clicks through multi-step flows, downloads files, and extracts the data you need into a report or your Drive.
Because it drives a real browser session, JavaScript-heavy apps, single-page apps, and login-gated tools all work the same way they would for a person. Chain several sites into one workflow: pull a list from one platform, enrich each row on another, and file the result in a third, in a single unattended run.
Every Run Leaves an Audit Trail
Automation you cannot inspect is automation you cannot trust with real accounts. Every browser run produces a reviewable record: the steps taken, the pages visited, and screenshots along the way, all visible in the activity feed.
Together with approval gates on consequential actions, that record changes the risk profile of letting software act on your behalf. You are not hoping the run went well. You can see exactly what happened, step by step, after every single run.
How It Works
Your AI employee opens a real browser, navigates to any site, fills forms, clicks buttons, and completes multi-step workflows exactly like a human would.
Browser automation runs through the Sista companion app installed on your machine. Your AI agent takes control of a real browser session, not a headless simulator. It navigates, reads page content, fills inputs, clicks buttons, handles authentication, and moves through multi-step flows. Any web application a person can use manually, the agent can automate.
Before taking any action in the browser, the agent describes what it is about to do and waits for your approval. You see the planned action, approve it, and the agent proceeds. This approval gate applies to every form submission, every click on a button with side effects, and every login. You get the efficiency of full automation with explicit control over every consequential step.
Use Cases
HR team automates job board posting
The AI employee logs into job boards, fills out posting forms, uploads the job description, and confirms submission across multiple platforms.
Finance team pulls invoices from vendor portals
An AI agent logs into each vendor portal, downloads the latest invoices, and deposits them into Drive for review.
Sales team monitors competitor announcements
The AI employee visits key competitor sites on a schedule, detects new content, and sends a digest to the team.
Support team looks up accounts in a web admin panel
The AI agent logs into the internal admin tool, finds the customer, pulls their plan and history, and pastes it into the ticket, with no API to integrate.
Marketing team posts across multiple platforms
The AI employee logs into each social and publishing tool, fills the post form, attaches the media, and confirms the publish across every channel.
Product team catches regressions in the company's own web app
After each release, the AI employee walks through key flows in your own product and flags anything broken or different from expected, without a dedicated test suite to maintain.
Comparison
| Before | After |
|---|---|
| Repetitive browser tasks eat hours of human time each week. | The AI agent handles any browser-based task automatically. |
| Vendor portals have no API, so data retrieval is manual. | Browser automation reaches any website, API or not. |
| Web scraping requires a developer to build and maintain. | The AI employee navigates and extracts from any site without code. |
| Cross-site workflows break whenever a site updates its layout. | The AI agent adapts to page changes the same way a human would. |
FAQ
Does browser automation work with apps that require login?
Yes. The agent can handle login flows including username and password fields. Credentials are stored securely and never exposed in logs or transcripts.
Can the agent handle dynamic JavaScript-heavy web apps?
Yes. Browser Automation uses a full browser engine, not a static HTML parser. Dynamic content, React apps, and JavaScript-rendered interfaces all work the same way as they would for a human user.
What is the difference between browser automation and API integration?
API integration requires the target app to have a public API and credentials. Browser automation works with any web app regardless of whether an API exists. It is slower but universally compatible.
Can I limit which websites the agent can visit?
Yes. You can configure an allowlist or blocklist of domains for each AI employee. The agent will only browse approved sites, which is useful for limiting scope and preventing unintended actions.
Can the AI agent fill out forms and click buttons on websites?
Yes, the browser automation capability lets AI employees navigate any website, fill in fields, click buttons, and extract data, all without a browser extension or manual setup. It works on modern web apps including those requiring login.
Do I need to write Selenium or Playwright scripts?
No. There is nothing to code. You describe the task in plain language and the agent operates the browser itself, reading the page and deciding what to click. There are no selectors to write and no scripts to maintain when a site changes its layout.
How does it handle CAPTCHAs and bot detection?
Because the agent drives a real browser session the way a person does, rather than a headless bot, it behaves like normal human use on most sites. For a step that requires a human check, the agent can pause and hand off to you at an approval gate instead of failing the run.
Can it run browser workflows on a schedule, unattended?
Yes. Pair browser automation with scheduling and the agent runs a cross-site workflow on its own, for example exporting a weekly report every Friday or pulling competitor pricing each morning. Approval gates still apply to any action you choose to gate, and every session is logged.
Does it use my logged-in sessions, and do I need a browser extension?
No extension is required. Browser automation runs through the companion app, which drives a real browser, so the agent can use authenticated sessions you approve. Credentials are stored securely and never appear in logs or transcripts.
What happens when a website changes its layout?
Unlike a scraper tied to fixed selectors, the agent reads the page fresh each time, so a redesign or a moved element usually does not break it. If it cannot complete a step, it captures the page state in the activity feed and can pause for your input rather than silently returning wrong data.
How do I get started with browser automation?
Install the companion app, then describe the task in plain language to any employee. There are no scripts to record and no flows to build; the first instruction is the setup.
Can one workflow combine browser and desktop steps?
Yes. The same companion app powers both, so an agent can pull data from a web dashboard, process it in a desktop application, and save the result locally in one run.
What happens if a site requires two-factor authentication during login?
The agent can pause at that step the same way it pauses before any consequential action, so you can enter the one-time code or approve the prompt on your device, and it continues the workflow from where it left off.
Does it handle cookie banners and popups that get in the way?
Yes. The agent reads whatever is on the page, including a cookie consent banner or an unexpected popup, and dismisses or works around it the same way a person would before continuing the task.
Our agent logs into our legacy portal, exports the weekly report, and saves it to Drive every Friday. The portal has no API. This was completely manual before.
Where Browser Automation fits
Browser Automation is part of How they use your computer.
Your AI agent operates your browser and desktop apps the way a human would. Navigate web apps, fill forms, click buttons, move files, and complete multi-step workflows across any application. Install the lightweight companion app and your employee gains access to your entire machine.
- How they use your computer: Control any browser or desktop app.
Read the guide
More in Desktop Control
- Computer Controller: Most AI tools stop at the browser. The moment work lives in Photoshop, Excel, Logic, Final Cut, or a native app with no API, they're stuck. Computer Controller is what lets an employee step outside the browser and operate your actual desktop, real mouse, real keyboard, real screen, through the companion app running on your machine.
- Proactive Employer Messaging: Your AI employee does not wait for you to check in. When it finishes a task, hits a blocker, or needs a decision from you, it sends the update itself, straight into the same chat thread you already use with that employee. No separate inbox, no polling a dashboard to see if something happened.
- Automatic File Organization: Your AI employee sorts, renames, and files documents on your own computer through the Sistava Desktop Companion app: reading what is in a folder, working out what each file is, and moving it where it belongs using the naming convention and folder structure you describe in plain language. File access stays inside your home folder, and every move, rename, or write is recorded in the activity feed so you can see exactly what changed.
- Hands Free Data Entry: Your AI employee reads records from a spreadsheet, export, email, or PDF and types them into any web or desktop application, including tools with no API. Every field is checked against the source before submission, and anything incomplete or ambiguous is set aside in an exception report instead of entered wrong. Recurring entry jobs run on a schedule with the approval checkpoints you choose.