Everyone knows ChatGPT. Plenty of people use Zapier. But there is another side of AI automation that deserves more attention.
Newer tools are making it easier to automate browser tasks, connect business apps, process information, and handle repetitive work without building an entire technical system.
Some focus on AI agents. Others let you create workflows visually, while a few can automate tasks directly on your computer.
If you want to explore tools beyond the usual AI assistants, here are 10 AI automation tools worth putting on your radar in 2026.
1. WorkBeaver
For automating repetitive computer work
A lot of business automation focuses on connecting one app to another. But what happens when the task involves opening websites, clicking through pages, updating spreadsheets, or moving files around your computer?
That is where WorkBeaver takes a different approach.
You describe the task in plain English, and WorkBeaver can carry out repetitive computer actions across websites, browser tabs, desktop applications, files, and spreadsheets.
You could use it for tasks such as filling out forms, transferring information between websites, organizing files, or updating a spreadsheet using information collected online.
The useful part is that you can automate the steps you already perform without needing to write code or build complicated API integrations.
For small businesses, marketers, and administrative teams, it is worth exploring if repetitive computer work takes up a big part of the day.
2. Gumloop
For building AI-powered workflows visually
Gumloop helps users build workflows that combine AI models, data sources, and automated actions.
Instead of using AI only to generate an answer, you can create a process that collects information, analyzes it, and passes the result to another step.
For example, a marketing team could build a workflow to research companies, organize findings, and prepare information for review.
It is particularly interesting for people who want to automate research, data processing, and content-related tasks through a visual interface.
3. Activepieces
For open-source AI and workflow automation
Activepieces is an open-source automation platform that lets users connect supported apps and build workflows through a visual interface.
It also supports AI-related workflows, making it useful for teams that want to combine traditional automation with AI-powered steps.
You could use it to process incoming form submissions, organize information, send notifications, or create workflows that involve AI models.
For users who want an alternative to established automation platforms, Activepieces is worth checking out, especially if open-source flexibility matters to them.
4. Lindy
For AI assistants that handle everyday business tasks
Lindy focuses on AI assistants that can help with recurring work across supported business tools.
Rather than treating every task as a simple trigger and action, you can configure assistants for workflows involving email, meetings, follow-ups, and administrative tasks.
For example, an assistant could help organize incoming requests or support a recurring process involving emails and calendar activities.
It is worth exploring if you want AI assistance to become part of your everyday business workflow instead of opening a separate chatbot for every task.
5. Browser Use
For AI agents that interact with websites
Browser Use is an open-source project that helps AI agents interact with websites through a browser.
This opens up possibilities for multi-step tasks that involve navigating pages, reading information, and taking actions online.
For example, an agent might be used to navigate a website, collect information, and complete a series of browser actions.
The project is especially interesting for developers experimenting with AI agents. However, it is more technical than a typical plug-and-play automation tool and may require coding and configuration.
6. Skyvern
For automating complex website workflows
Skyvern uses AI to automate browser-based tasks across websites.
It is designed for workflows that involve multiple pages, forms, and browser interactions, rather than just connecting two applications.
Businesses could explore it for repetitive web processes such as completing forms, navigating portals, or collecting information from websites.
Skyvern is worth watching if your automation needs involve website interactions that are difficult to handle with basic app integrations. More advanced use cases may require technical setup.
7. Bardeen
For browser automation and online research
Bardeen focuses on automating browser-based work, including research, data collection, and sales-related workflows.
Think about how much time people spend researching companies, gathering information from web pages, and transferring details into business tools.
Bardeen helps reduce some of that repetitive work through browser automations and supported integrations.
It is a practical option for salespeople, recruiters, and marketers who regularly work with online information.
8. n8n
For building customizable AI agents and workflows
n8n has become an option for users who want more control over workflow automation.
It combines a visual workflow builder with advanced customization, integrations, and AI capabilities. Users can connect different services, process data, and create workflows that include AI models or agents.
For example, you could build a workflow that receives a request, processes the information, routes it according to certain rules, and sends a notification.
The platform is flexible, but more advanced workflows can require technical knowledge. It is particularly appealing to users who want to customize their automations or self-host their setup.
9. Pipedream
For developers automating workflows across services
Pipedream is an automation platform built with developers in mind. It helps connect APIs, services, and custom code into automated workflows.
While it is more technical than beginner-focused tools, it can be useful when a workflow needs custom logic that standard no-code actions cannot handle.
For example, a developer could create a process that receives data from one service, transforms it, sends it to another, and triggers additional actions.
It is worth exploring if you want to build more customized automation around APIs and business systems.
10. Relevance AI
For creating AI agents for business workflows
Relevance AI focuses on building AI agents and teams of agents for business tasks.
Depending on the setup, these agents can be designed to support workflows involving research, sales, operations, and information processing.
For example, a business could explore using agents to gather information, prepare research summaries, or assist with recurring operational processes.
It is an interesting option for teams exploring agent-based automation beyond basic if-this-then-that workflows. The actual capabilities depend on the tools, permissions, and workflow configuration you provide.
Which AI Automation Tool Should You Try First?
The right choice depends on the kind of work you want to automate.
- WorkBeaver: Repetitive browser and computer tasks.
- Gumloop: Visual AI workflows and data processing.
- Activepieces: Open-source workflow automation.
- Lindy: AI assistants for everyday business tasks.
- Browser Use: AI-driven website interactions.
- Skyvern: Multi-step website automation.
- Bardeen: Browser research and sales workflows.
- n8n: Customizable workflows and AI agents.
- Pipedream: Developer-focused automation across services.
- Relevance AI: Business-focused AI agents.
Some of these tools are easier to use without technical knowledge, while others are designed for developers or teams building more complex systems. Check their current features, pricing, and setup requirements before choosing one.
Final Thoughts
AI automation is moving beyond chatbots that simply answer questions. More tools can now help carry out workflows, process information, interact with websites, and reduce repetitive computer work.
You do not have to adopt every new platform to benefit from that shift.
Start with one task that takes up too much of your time. Choose a tool designed for that kind of work, test the results, and expand from there.
The most useful AI automation tool is not necessarily the most complicated one. It is the one that helps you get real work done with fewer manual steps.
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