12 Best AI Automation Tools for 2026

Between meetings, deadlines, reports, and your actual work, it can seem like there’s never enough time in a workday.

The transformative power of automation and AI productivity tools can help. These innovative tools can rapidly perform tasks that otherwise take several minutes or even hours, freeing you up for more creative, high-value work.

We’ve put together a list of top AI workflow automation tools — each with its own key features, capabilities, and benefits — to help you find the one that fits your team’s goals. The list is curated from reviews on G2 and Capterra, and all tools have a minimum rating of 4 out of 5 stars to ensure you’re getting a high-quality solution.

The 12 best AI automation tools

Each tool listed below is among the top-rated tools on G2 and Capterra. Some address general use cases, while others are best for specific departments or for supplementing tools you already use.

The solutions covered in this list include:

• Agentforce — Best for agentic automation
• Trello — Best for automated task management
• Zapier — Best for integrations
• Asana — Best for project automation
• HubSpot — Best for marketing automation
• Slackbot — Best for workflow automation
• Google Cloud AI — Best for Google environments
• Intuit Mailchimp — Best for email marketing
• Adobe Sensei — Best for creative automation
• Zendesk — Best for support automation
• Notion — Best for knowledge automation
• ClickUp — Best for all-in-one automation

1. Agentforce in Slack

Slack organizes and unifies data in a single work operating system, connecting teams with the people and tools they use every day. Agentforce is Salesforce’s agentic AI platform, designed to empower organizations to build, customize, and deploy AI agents. When deployed in Slack, users can engage with employee-facing agents directly in their flow of work. 

For example, teams can communicate with agents and assign them tasks directly in Slack, just as they would a human co-worker, making the agents collaborative virtual teammates that help increase productivity. 

Best for: Teams looking to enhance how they work and collaborate in Slack with agentic AI.

2. Trello

Trello is a project management software tool that allows users to create a visual set of lists, or boards, to organize project tasks. Trello features AI tools, including an analyst agent that examines existing Trello boards for trends and insights that can help teams with workflow management.

With the report generator, users can type in a prompt and get a report based on the board they’re viewing. This helps teams get the information they need for efficient decision-making. The premium version also offers an AI writing assistant and other organizational tools.

Best for: Teams aiming to combine the visual aid of a Kanban board with AI support for greater task efficiency.

3. Zapier

Zapier is a popular workflow automation tool that connects with more than 7,000 apps. Users say it’s easy to use and that they can automate workflows involving multiple software tools — including Salesforce, Slack, Mailchimp, HubSpot, and many more — in one place.

Zapier includes integrated AI tools to help users build new workflows, identify trends in data, and summarize meeting transcripts. It also connects to external AI apps, such as Jasper and ChatGPT, allowing teams to automate content creation like email campaigns and blog post drafts.

Best for: Lean organizations that need a quick, intuitive way to build workflows that integrate with multiple apps.

4. Asana

Asana is a project management platform that helps teams plan and organize complex projects and tasks, from marketing campaigns to product development. Asana has integrated AI tools, including one where users can use a no-code builder to design AI agents and another that lets them update project plans via natural language interactions in Claude. With Asana, you can also automate multiple workflow stages, from intake to reporting to drafting content, keeping projects moving forward.

Best for: Organizations seeking a flexible, broadly applicable project management tool capable of automating project workflows for all users.

5. HubSpot

HubSpot is a full CRM platform, serving sales, marketing, content management, customer service, and more. It includes several AI features to help users automate marketing tasks, such as creating social media posts, drafting prospect emails, and implementing customer agent chatbots. Users can also use AI tools to analyze sales and customer data, discern buyer intent, and build optimized forms.

Best for: Organizations looking to elevate their marketing strategies and customer relationships with intelligent workflows.

6. Slackbot

Slackbot is an AI assistant that’s fully embedded in your Slack environment. That means it can use your Slack workspace (based on your permissions) to understand the context of all questions or tasks you prompt it with, making it more accurate than the average AI assistant.

Slackbot speeds up workflows by synthesizing information from across Slack channels and connected applications. It uses this information to help you prepare for meetings, summarize complex documents, or find details that could otherwise get lost in lengthy message threads. With its deep contextual knowledge, it can assist you in making business decisions and drafting materials, such as sales strategies or content briefs.

Best for: Teams looking for an automated approach to locating, synthesizing, and acting on information shared across Slack and connected apps.

7. Google Cloud AI

Google Cloud AI Hub gives users access to plug-and-play AI tools that they can use to build AI models, integrate with other software, and share what they’ve created. With generative AI capabilities, the platform lets teams create a range of agents and applications that are trained on their organization’s data. They can then interact with those agents to accomplish various tasks such as extracting insights from lengthy documents, building custom machine learning models, and conducting data analysis.

Best for: Google shops that prioritize versatility in their AI tools.

8. Intuit Mailchimp

The Mailchimp email marketing platform has been around for more than two decades and includes AI marketing tools to help users automate processes. An integrated app called Intuit Assist helps marketing teams draft emails, manage customer mailing lists, and target customers with personalized content. The platform also includes AI-powered predictive analytics that help users identify high-value and at-risk customers, along with automated A/B testing with response monitoring to quickly analyze different versions of email content.

Best for: Marketing teams looking to speed up workflows and increase email conversions with AI.

9. Adobe Sensei

Adobe Sensei is an AI and machine learning platform designed to automate tasks and improve user experiences within the Adobe product suite. Its marketing tools include generative AI content creation and management, automated performance marketing analysis, and an AI assistant that lets users analyze enterprise data for insights and guidance and generate reports.

Best for: Creative teams using the Adobe product suite who are looking to improve efficiency.

10. Zendesk

Ticketing tool Zendesk helps customer service and IT teams resolve user issues. It uses AI agents to speed up workflows and provide accurate information quickly. The AI copilot can be trained on your entire organization’s knowledge base, giving the human reps complete context for issues and suggested replies, next steps, and more.

Best for: Departments like IT and customer service that aim to resolve tickets and close issues quickly.

11. Notion

Notion lets users manage workflows using features such as shared documents and task management. It has fully embraced AI by embedding AI agents, task automation, and intelligent enterprise search into users’ everyday workflow. Users can interact with an AI assistant and have the most relevant information at their fingertips.

Best for: Organizations seeking a customizable AI workflow automation solution that includes knowledge tools like document sharing and enterprise search.

12. ClickUp

ClickUp offers a range of project management tools, from task tracking to workflow development and more. Its collection of AI agents and tools combines multiple large language models for increased flexibility. Features include custom AI agents that can answer questions and perform simple tasks, autonomous project and workflow management, intelligent task prioritization, and more.

Best for: Teams searching for an intuitive project management tool with a wide range of AI features.

How do you choose the right AI automation tool?

Even the best AI workflow automation tool won’t deliver the ROI you want if it’s not a good fit for your needs. Before making your selection, first review the following:

Identify your workflow pain points and bottlenecks

Audit how different departments in your organization work and ask employees at all levels about their biggest productivity blockers. Use this information to pinpoint bottlenecks and tasks that demand too much manual effort. While it’s tempting to apply AI everywhere, it’s most effective when used to address specific, targeted issues.

Match the solution to your team’s technical abilities

A truism of change management is that the more new skills people need to learn, the more resistant they’ll be to change. To maximize your AI adoption, look for tools that most of your team can learn in a day.

Evaluate multiple AI tools’ capabilities

Create a list of potential solutions by comparing the features of the best AI assistants and tools to your needs, being as specific as possible. After compiling a list of top contenders, request a demo from vendors before making a commitment.

Make sure the AI solution has the right integrations

To promote quick and widespread adoption, it’s best to choose a solution that integrates with all the tools you already use. This will make it easier to incorporate the AI into your existing workflows. Fortunately, most of the best AI workflow automation tools we’ve listed support integrations with many commonly used software solutions, including Slack.

What types of AI automation tools are available?

AI automation tools can handle all manual tasks for employees, but each tool specializes in a different area. Here are a few examples of AI workflow automation tools you might come across during your search:

• AI agents. An AI agent acts as your virtual teammate, capable of answering questions and handling simple tasks through natural-language messages. These agents are usually trained on your company’s data, enabling them to give detailed responses about workflows, policies, and other internal information. Some agents come preconfigured, while others, like Agentforce in Slack, let users create agents tailored to their needs.  
• Data collection and reporting. AI tools can collect and organize customer data automatically and generate reports based on that information. The ability to instantly access key data, such as a sudden increase in support requests after the release of a new product or service, can equip your organization to respond to situations more quickly.
• Predictive analytics. AI tools can automate predictive analytics, helping teams identify trends, forecast future sales, and detect risks. Access to real-time analytics dashboards informs and prepares teams to make better decisions.
• Project management. Within project management platforms and work operating systems like Slack, AI tools help teams streamline workflows, prioritize tasks, summarize meeting notes, data, and documents, and even provide action item recommendations and assistance drafting correspondence to improve productivity and keep projects moving forward.
• Workflow management. AI tools don’t just streamline workflows; many can also autonomously run workflows and create new ones. AI workflow management solutions automatically start workflows based on specific triggers and update users when it’s time to take action. They can also create custom workflows based on a project’s parameters or assign next steps to individuals based on a conversation.
• Quality assurance (QA) testing. Development teams can improve the speed and quality of QA testing with AI tools that automate how they run and even develop QA tests. Using AI automation, developers can run several iterations of a QA test in minimal time. These tools can also select the most relevant tests to run, and many independently identify test cases and generate code that addresses them.

What are the best practices for successful AI automation?

While workers across industries are excited at the prospect of outsourcing tedious work to AI, many also have lingering concerns about the technology. A Salesforce survey found that 67 percent of CIOs are taking a more cautious approach to AI compared to other technologies. Meanwhile, a Salesforce survey of IT security leaders found that 70 percent are concerned about the accuracy of AI outputs.

Navigating these challenges can be intimidating, but it starts with identifying the right tools and training your teams on how to use them. As you make your final decision on which AI automation tools to adopt, here are some best practices for successful implementation:

• Pinpoint the tasks you want to automate. AI deployments are most effective when they target specific use cases. Identify what your solution will support, and clearly communicate it to employees so they understand how to incorporate AI into their daily work.
• Consider integration. The more complex your integrations are, the more likely it is that something will not work properly. Ideally, you’ve already selected AI tools that seamlessly connect with your existing software. If so, your IT team can efficiently set up your solution and integrate it into your workflow.
• Get team buy-in. Ease employee concerns with education about AI privacy and security. Encourage experimentation with AI tools, and facilitate knowledge sharing by establishing AI adoption groups where workers can discuss what they’re learning with colleagues across departments.
• Set up clear guidelines for AI use. According to recent Slack research, desk workers at companies with guidelines for AI use are nearly six times more likely to experiment with AI tools than those who are given no guidance. Establishing guardrails can give teams the comfort and confidence they need to take risks with new tools.

Bringing AI automation tools to your work OS

As AI use in the workplace continues to grow, AI-powered automation tools can support your teams, giving them more time to focus on complex tasks like relationship-building or problem-solving and helping alleviate burnout. Slack AI brings AI automation directly into your workspace, helping your employees organize and surface data, accelerate processes, make smarter and faster decisions, and increase customer satisfaction — all from one place.

Slack also functions as a central hub for many other AI solutions that accelerate or automate work by:

• Connecting multiple AI tools in one central hub
• Consolidating notifications from multiple AI workflows
• Keeping everyone aligned for easier collaboration
• Giving employees a familiar, intuitive platform for exploring AI to make them more comfortable with adoption

With Slack and Slack AI, you’ll have the tools necessary to launch an AI strategy that makes a real difference in how you work.

AI workflow automation tools FAQs