MAKE Issues: Make AI Agent Finally Released?
What if you didn't have to make every complex decision yourself? What if requests could be automatically processed, verified, and forwarded to the right place? What if the system could make its own judgments and act without waiting for approval?
Now you can do all of this with Make. The new feature Make AI Agents has been released in beta. It will be rolled out to all Make users within the next few days.
Make AI Agents adds AI decision-making capabilities to existing Make scenarios. That means you can not only create the same flexible automations as before, but also build more powerful and intelligent workflows through AI.
Make is now moving to a new stage called **Agentic Automation**. You'll be able to connect over 2,000 apps within Make's visual builder and leverage AI Agents to automate an even wider range of tasks. During the beta period, it will continue to evolve based on user feedback.
Why We're Excited About This Feature
Make is seeing how AI Agents are transforming core business problems and repetitive tasks. Agentic automation isn't just automation that follows predefined rules — it's a method that helps AI make contextual judgments and perform tasks using multiple applications.
The reason this approach matters is that it can delegate more judgment and execution authority to users. Make's product roadmap this year will continue to add AI-centric features.
The Role of Make AI Agents
Simply put, Make AI Agents is a feature that enables smart automation that judges and acts on its own according to the situation. This allows you to build more intelligent and flexible workflows, which in turn significantly improves overall business efficiency.
- Smarter Automation, Less Maintenance
Make AI Agents understands goals in natural language, just like human speech, and adjusts workflows in real time without fixed rules.
- Contextual Judgment and Scalability
On the Make platform, which integrates with over 2,000 apps, AI Agents leverage the right tools to assess situations and execute tasks on their own.
- Seamless Integration with Existing Systems
Within Make, which offers over 30,000 actions, AI Agents integrate smoothly with existing systems and naturally extend new workflows.
What Makes Make AI Agents Different?
AI agents enable an entirely new approach to workflow design, not just simple automation. This feature shines especially in a visual and flexible environment like Make.
- More Efficient Integrated Management
Unlike existing AI tools, Make AI Agents can be reused across multiple scenarios, reducing duplication and making management much easier.
- Flexible Customization for Various Situations
Each agent can be customized per scenario while maintaining a consistent global system prompt. It's designed with both flexibility and consistency in mind.
- Real-Time AI Decision Making
You can choose from various LLMs, including OpenAI-compatible models, to make real-time judgments and responses based on the situation. Be sure to save this starter guide for building the AI agent you want!
Automation + AI Agents
We already use smartphones and Wi-Fi-connected appliances as part of everyday life. At this point, you might think "hasn't everything that can be automated already been automated?" But in reality, automation is an evolutionary process that humanity has been pursuing for centuries. And right now, we're in the middle of the most exciting change of all. Where do AI agents fit in this journey?
The Turning Point of AI
AI has been evolving for a long time, but in recent years it has spread rapidly as everyday users got to try it firsthand. In Make specifically, you could build chatbots using AI modules or create automation scenarios that analyze and organize data.
By adding flexibility and human-like judgment to traditional automation through AI, even complex tasks can now be handled more efficiently.
The Dawn of Agentic Automation
Make AI Agents is the next step in this evolution. Now, instead of simple rules, you can implement AI-powered automation that understands context and makes its own judgments to act.
If traditional automation is like an assembly line in a factory, an AI agent is like a digital colleague working in the office. When you give it a task instruction in natural language, the agent analyzes data, routes to the appropriate scenario, handles exceptions, and makes the most practical decisions.
AI Agent Use Cases in Action
- Auto Repair Customer Service Agent Provides real-time updates on repair status, and when customer dissatisfaction is detected, immediately connects them to a human agent. It improves the customer experience while allowing actual agents to focus on more important tasks.
- Inventory and Order Management Agent By connecting Make AI Agents with Slack, inventory systems, and suppliers, everything from checking stock levels for specific items to placing orders is handled automatically through a simple Slack message. It's like sending a message to a colleague in the warehouse.
Automation has now undergone yet another evolution. Make is the tool that lets you experience this new era most easily.
Source: MAKE, "Introducing Make AI Agents: The next step in automation", https://www.make.com/en/blog/make-ai-agents, (2025.04.14), "The automation journey: From traditional automation to AI agents" https://www.make.com/en/blog/evolution-of-automation-ai, (2025.04.15)