10 AI Automation Platforms to Consider in 2025

Now that it’s 2025, AI automation isn’t just a tech trend—it’s a foundational part of how businesses operate. From streamlining IT and HR requests to accelerating content creation and decision-making, AI is transforming how work gets done across departments.

Two major shifts are driving this transformation:

• AI is no longer confined to IT. Teams in marketing, sales, finance, and operations are adopting tools that help them automate tasks, generate insights, and build workflows without relying on developers or waiting in line behind engineering sprints.
• Speed is the new standard. Whether it’s resolving internal tickets, syncing data, or responding to real-time signals, the ability to move quickly and intelligently is becoming a core business advantage.

But all this momentum introduces new challenges. As companies layer on more tools and data sources, they risk creating disconnected systems, manual workarounds, and slow responses to change.

Here’s what many teams face today:

• Automation tools that don’t talk to each other
• Siloed data and fragmented workflows
• Reactive fixes instead of proactive orchestration

That’s where AI automation platforms come in.

These platforms don’t just automate tasks—they connect data, embed intelligence, and coordinate workflows across your organization. They’re built to scale, adapt, and work across teams, tools, and processes.

In this article, we’ll cover:

• What makes an AI automation platform different
• Key features to look for when evaluating solutions
• And 10 standout platforms to consider in 2025—including Domo, Claude, Moveworks, ChatGPT, and more

Let’s get started.

What is an AI automation platform?

An AI automation platform is software that combines artificial intelligence with automation workflows to streamline tasks, make decisions, and improve outcomes without constant human oversight.

These platforms use tools like:

• Machine learning (ML) to learn patterns
• Natural language processing (NLP) to understand text or speech
• Predictive analytics to forecast outcomes
• Integrations and APIs to work across systems

Unlike traditional automation (which runs on static rules), AI automation adapts in real time, processes unstructured data, and scales across complex workflows.

Benefits of using AI automation platforms

The best AI automation tools aren’t just about doing more, they’re about doing better. Recent insights explain why today’s most advanced organizations are building on frameworks of agentic AI and orchestration: the ability of AI systems not just to act, but to coordinate end-to-end across functionally siloed tools. Here's how they create value:

• Faster execution: AI-driven workflows operate around the clock and in real time.
• Smarter outcomes: Learn from data to make more accurate decisions and recommendations.
• Reduced manual effort: Automate routine, repetitive tasks across departments.
• Improved customer experiences: Shorten response times and personalize interactions.
• Cross-system integration: Connect data and actions across CRMs, ERPs, HR tools, and beyond.

According to IDC, companies using AI automation can increase employee productivity by 40% and cut resolution times in half for internal tickets and customer support.

What to look for in an AI automation platform

Not all AI platforms are created equal. While many promise to “streamline” and “accelerate,” the reality is that few deliver meaningful automation without adding complexity or technical overhead.

When evaluating solutions, it's important to go beyond surface-level features and focus on how well the platform integrates into your existing ecosystem, scales with your business, and supports long-term automation goals.

Here are the key criteria to consider when choosing an AI automation platform that can drive real business value.

Integration and extensibility

The platform should seamlessly connect to your existing tech stack, including CRMs, ERPs, communication tools, and data warehouses. Look for robust APIs, prebuilt connectors, and support for custom integrations to avoid building from scratch.

Security and compliance

Enterprise-grade security is a must. Ensure the platform offers role-based access controls, audit logs, data encryption, and compliance with standards like SOC 2, GDPR, and ISO 27001.

Adaptability and learning

The platform should go beyond static rules. It should be able to process unstructured data, learn from historical patterns, and improve over time. Look for features like machine learning feedback loops, intent recognition, or customizable AI models.

Transparency and explainability

AI decisions should never be a black box. Choose a platform that provides visibility into how it makes predictions, routes workflows, or recommends actions, especially if you're in a regulated industry or need stakeholder trust.

Low-code or no-code configuration

Empower business users—not just developers—to build, test, and iterate on automation. A strong visual interface with drag-and-drop functionality or guided workflows makes automation accessible across teams.

Scalability

Whether you’re automating a handful of processes or orchestrating hundreds across departments, the platform should scale with your organization’s needs—without performance bottlenecks or licensing surprises.

10 AI Automation Platforms to Consider in 2025

AI automation isn’t about replacing jobs—it’s about amplifying human potential across the business. Whether you’re a CIO looking to standardize operations, an HR leader focused on employee experience, or a marketing director trying to do more with less, there’s an AI tool designed to solve your most pressing problems.

The challenge isn’t finding AI tools. It’s identifying which platforms actually deliver automation that’s reliable, scalable, and relevant to your business needs.

Here’s a curated list of 10 AI automation platforms that are solving real problems across the enterprise, categorized by where they shine and who benefits most.

1. Domo

Best for: Data leaders, digital operations, enterprise automation teams

Domo goes beyond dashboards. Its AI-powered Workflows and Bricks enable low-code automation across systems, combining data triggers, business logic, and third-party actions into one connected experience. If your organization struggles to operationalize data, Domo bridges the gap between insight and action—with real-time responsiveness and broad integration capabilities.

Why it matters: Domo is especially powerful for teams managing complex data ecosystems who need automation that spans multiple systems without custom dev work.

2. Writer

Best for: Marketing, product, and content teams

Writer is a generative AI platform designed to help businesses create consistent, brand-aligned content. Unlike general-purpose LLMs, Writer can be custom-trained on your company’s voice, legal guidelines, and style guides—making it a strong fit for regulated industries or distributed teams producing high volumes of copy.

Why it matters: For teams that need content fast but can’t sacrifice accuracy, tone, or compliance, Writer helps scale without losing control.

3. ChatGPT (OpenAI)

Best for: Knowledge workers, customer support, and internal enablement

ChatGPT is a versatile conversational AI used across countless business functions, from drafting proposals to summarizing meeting notes to powering chatbots. The GPT-4 version supports advanced reasoning, custom instructions, and plugin integrations, making it highly adaptable for internal knowledge bases or customer-facing tools.

Why it matters: For teams seeking general-purpose AI assistance that’s quick to deploy and easy to scale, ChatGPT provides a flexible foundation.

4. Claude (Anthropic)

Best for: Legal, HR, compliance, and research teams

Claude is designed for safe, context-aware AI interactions. It supports long memory, follows detailed instructions well, and offers greater predictability in tone and output. This makes it a strong option for teams handling nuanced content like policies, contracts, or employee communications.

Why it matters: If your work involves detailed reasoning and long-form inputs, Claude offers more control and fewer surprises than many other LLMs.

5. Moveworks

Best for: IT, HR, finance, and internal service desks

Moveworks acts as an AI copilot for employees, automating support across internal systems like Workday, ServiceNow, and Jira. Employees can resolve issues or find information by simply asking in natural language, whether it’s through Slack, Teams, or web portals.

Why it matters: If you're fielding hundreds of repetitive internal requests per week, Moveworks can drastically reduce resolution time and IT workload.

6. Glean

Best for: Enterprise search, knowledge management, onboarding teams

Glean indexes your company’s knowledge across tools like Google Workspace, Salesforce, Slack, and Confluence, then uses AI to surface answers to employee questions instantly. Think of it as internal Google Search—but personalized and secure.

Why it matters: For fast-growing or distributed companies, Glean reduces time spent searching for info and speeds up onboarding and decision-making.

7. GitHub Copilot

Best for: Software developers and engineering managers

GitHub Copilot accelerates software development by suggesting lines of code, completing functions, and even writing documentation. Integrated into VS Code and other popular editors, it helps engineers reduce repetitive tasks and focus on solving harder problems.

Why it matters: If your dev teams are under pressure to ship faster, Copilot helps them write better code with fewer blockers.

8. AiseraGPT

Best for: Customer support, ITSM, and service operations

AiseraGPT automates service experiences across channels, handling tickets, triaging requests, and resolving common issues through natural language. It integrates with CRMs, help desks, and IT systems to personalize support and reduce case volume.

Why it matters: For customer service and IT teams looking to scale without scaling headcount, AiseraGPT delivers measurable cost savings and faster resolutions.

9. Reclaim AI

Best for: Individual productivity, team coordination, executive assistants

Reclaim automatically reorganizes your calendar based on priorities, meeting load, and personal work preferences. It blocks focus time, reschedules tasks, and helps teams optimize collaboration across time zones and hybrid schedules.

Why it matters: For teams buried in back-to-back meetings, Reclaim creates breathing room without relying on manual planning.

10. Fivetran

Best for: Data engineers, analytics teams, operations leaders

Fivetran automates the ingestion and syncing of data from hundreds of sources into your warehouse. It’s fully managed, schema-aware, and built for reliability—so teams spend less time writing pipelines and more time using data.

Why it matters: If your data team is overloaded with manual ETL work, Fivetran keeps your analytics environment clean and always current.

AI Automation Platforms: 2025 Comparison Chart

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Trends Shaping AI Automation in 2025

The AI automation space is evolving rapidly, but it’s not just about new tools. The real transformation is happening in how businesses adopt and scale automation across departments.

Here are a few trends redefining what automation looks like in 2025:

AI-native workflows

Businesses are moving from AI-assisted tasks (like generating text) to AI-native workflows—where automation is embedded from end to end. Instead of reacting to insights, organizations are designing processes that anticipate needs and act automatically.

Low-code for business users

With the rise of low-code and no-code platforms, automation is no longer limited to IT. Teams in HR, marketing, finance, and operations are becoming citizen automators, building workflows that reflect how they work, not just how systems are configured.

Cross-system orchestration

The most valuable automations in 2025 will be those that span multiple systems—connecting data pipelines, alerts, approvals, and communications. Tools like Domo that unify analytics and automation are positioned to lead this shift.

Recent insights explain why today’s most advanced organizations are building on frameworks of agentic AI and orchestration—the ability of AI systems not just to act, but to coordinate end-to-end across functionally siloed tools.

AI governance and explainability

As AI systems take on more decision-making power, businesses are demanding greater transparency. Platforms must show how they reach conclusions, how models are trained, and how data is used—especially in regulated industries.

Human + machine collaboration

Finally, the goal isn’t to replace people—it’s to amplify them. The future of automation is collaborative: AI handles the repetitive, predictable tasks while humans bring judgment, creativity, and empathy.

In short: AI automation in 2025 isn’t about doing the same things faster—it’s about transforming how your organization operates.

Choosing the Right AI Automation Platform for 2025

AI automation is no longer optional for organizations looking to stay competitive—it’s quickly becoming a defining layer of business infrastructure. But with hundreds of tools promising productivity gains, operational efficiency, and cost savings, the real differentiator is not just what you automate—it’s how, where, and why.

The most effective AI platforms share three core traits:

1. They connect to real business workflows. Automation isn’t just about speed—it’s about orchestrating data, decisions, and actions across systems and teams. Tools that sit in silos or require constant manual upkeep won’t scale.
2. They empower more than just technical users. The rise of no-code and low-code capabilities means AI can extend beyond engineering—giving business users, analysts, and operators the tools to automate what matters most to them.
3. They deliver clarity, not complexity. The best platforms prioritize explainability, security, and system integration so you can trust what they’re doing and measure their impact.

As you assess platforms in 2025, don’t just ask: “What can this tool do?” Ask: “Will it help my organization move faster, make smarter decisions, and unify our data and processes in a way we can scale?”

That’s where Domo stands apart.

With Domo, AI automation is not an afterthought—it’s built into the fabric of the platform. Domo doesn’t just visualize your data—it activates it. From triggering Slack messages when sales trends shift, to automating approvals across HR systems, to sending data to third-party platforms based on real-time conditions, Domo’s automation capabilities work wherever your business works.

Why Domo?

• Unified data foundation that integrates with virtually any source
• Low-code/no-code Workflows for fast, flexible automation
• AI-powered insights that don’t just inform but act
• Enterprise-grade security with transparency and governance baked in

If you’re ready to reduce manual work, connect insights to action, and give every team the tools to build smarter workflows, Domo is ready to help.

Start your free trial or request a personalized demo today.

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