If you’ve ever asked your phone’s voice assistant a question, received personalized recommendations on Netflix, or had your email automatically categorized, you’ve interacted with AI agents.
But in the business world, AI agents go far beyond convenience — they:
- Drive productivity
- Improve workflows
- Help teams focus on more strategic work
The future of business is AI-driven, and AI agents are at the forefront of this transformation. By 2030, the AI agent market is expected to reach over $47 billion, and for good reason.
Perhaps you’re curious whether you should be using an AI agent builder, and if so, which one is best for quickly and easily creating AI agents that can automate tasks, accelerate workflows, and improve operational efficiency.
So how can your business create AI agents without requiring an army of developers? That’s where AI agent builders come in.
What are AI agents?
AI agents are software programs designed to work independently, use rules and data to make decisions, and complete tasks without human help. AI agents can autonomously plan strategies and refine their approach over time.
They do this through techniques like machine learning, letting them to improve their performance in across applications such as customer service, personal assistants, and robotic process automation
While this might sound futuristic, in reality, you likely already use AI agents in some capacity every day.
Think about how an AI-powered helpdesk assistant resolves IT tickets instantly or how an internal knowledge assistant provides employees with accurate answers to policy questions in real time. This is an AI agent at work.
When applied to an enterprise tech stack, AI agents can:
- Streamline complicated workflows by automating repetitive tasks and improving process efficiency
- Enhance productivity through real-time data analysis and intelligent task management
- Maximize the value of technology investments by reducing operational costs and improving resource utilization
- Foster business innovation by enabling new approaches to problem-solving and service delivery
Whether it’s handling IT requests, managing customer support tickets, or optimizing supply chains, AI agents can transform the way businesses operate.
This growing interest has led to the development of several AI agent-building platforms that can help you make your own AI-powered solutions with minimal development experience.
What is an AI agent builder?
An AI agent builder is a self-service development platform that lets companies create and deploy AI agents with minimal coding, often through user-friendly interfaces and pre-built templates.
Think of it as a comprehensive toolkit for constructing intelligent, autonomous systems that can independently handle various tasks such as responding to customer inquiries or managing workflow processes.
These platforms provide the necessary framework to train AI agents, ensuring they execute tasks accurately and efficiently within a business environment.
Most AI agent builders rely on a combination of machine learning (ML) and natural language processing (NLP) to understand and respond to user requests. Additionally, more advanced solutions increasingly leverage large language models (LLM) to give agents even greater reasoning and problem-solving abilities.
For example, imagine your IT team is constantly flooded with repetitive requests, like password resets or software access.
With an AI agent builder, you can quickly create an intelligent assistant that can not only handle these tasks automatically but also continuously learns over time with ML to provide better responses and anticipate user needs.
By providing a user-friendly interface with several pre-built components, AI agent builders make it quick for businesses to easily deploy robust automation tools that can:
- Operate within predefined goals and strategically plan ways to achieve them
- Coordinate larger tasks between multiple agents to handle them more efficiently
- Seamlessly connect to all systems and databases spread across an entire technology stack
- Continuously learn and improve over time while recommending more efficient ways to handle routine workflows
What to look for in an AI agent builder
While there is a wide variety of AI agent builders on the market, it's essential to look for specific features that will provide long-term value and match your needs. Ideally, you want a solution that is easy to use, compatible with your current systems, and highly scalable.
User-friendly interface
Just because AI agents can execute complicated workflows doesn't mean they should be challenging to create. It's essential to find an AI agent builder that's user-friendly and provides easy accessibility to enable users to design, deploy, and manage AI agents efficiently without needing an extensive technical background.
Many AI agent builders provide drag-and-drop interfaces that are much more approachable, needing far less coding than typical solutions. However, you'll also want to ensure your chosen platform has clear documentation and an intelligent agentic framework.
Since AI development can be complex, the more intuitive the platform and the more extensive its support resources, the easier it will be to get up and running.
Whether you want to quickly enable Salesforce record filtering, PTO reporting, diagram generation, or do major incident ticket clean-up, a user-friendly AI agent builder lets your users quickly set up an intelligent assistant to make it happen — often using a tiny fraction of the code typically needed.
Integration capabilities
Even though AI agents can perform many tasks for businesses, their capabilities depend on interconnectivity. The right integration capabilities are crucial for connecting AI agents seamlessly with your existing systems and databases, ensuring smooth operation and data flow across the entire technology stack.
For instance, if you deploy an AI-powered IT agent that can’t integrate with your company’s service desk software, it can quickly result in:
- Siloed data sources that lead to inaccuracies
- Limited automation opportunities
- Increased failure rates and ongoing maintenance issues
That’s why it’s crucial to choose a platform that supports robust integrations.
Customization
Your business needs will inevitably change over time. That’s why customizations are vital to tailor AI agents to specific workflows and industry-specific needs, ensuring more relevant and effective solutions.
An optimal AI agent builder enhances user experience by enabling AI agents to understand company-specific terminology and context, improving your workflows instead of complicating them.
Even as you incorporate new systems or expand your processes, customization facilitates seamless integration with these systems, ensuring smooth data flow, minimal disruption, and better leveraging your technology investments.
It allows businesses to quickly adapt AI agents to changing needs, providing flexibility and maintaining competitive advantage. This helps to enable compliance with industry-specific regulations and improves productivity by streamlining operations and optimizing AI agents for particular roles. Scalability
Scalability
Scalability is another important feature, especially when incorporating new data sets or configuring workflows to fit within specific security parameters. This includes handling larger data volumes and transaction loads and supporting on-premise and cloud-based deployments.
For example, a customer support team might start with a basic chatbot for answering FAQs. But as business needs grow, they may want to introduce AI agents that handle complex requests, connect to CRM systems, and even process refunds automatically.
To support scalability, look for features like modular architecture, flexible API support, and advanced analytics capabilities to ensure the platform can adapt as your business's demands increase.
Ready to see AI automation in action? Sign up for a free webinar and learn how AI agents can transform your business.
Top 7 AI agent builders for smarter automation
With so many options available — each offering different features, capabilities, and ideal use cases, choosing the right AI agent builder for your business can be a challenge.
To get you started, we've identified seven of the top AI agent-building platforms, along with their key features and capabilities.
1. Moveworks Creator Studio
Moveworks Creator Studio is an enterprise-grade, purpose-built agentic AI platform that makes it easy to build, manage, and scale AI agents without heavy coding, developed by a leader in enterprise-grade AI solutions.
Unlike traditional integration platforms, like iPaaS and other middleware, it uses an intelligent agentic Automation Engine to simplify the building, management, and scaling of AI agents.
It lets builders manage their automation needs from one unified platform with minimal coding required.
Key features:
- Enables AI agents to pick the best action by analyzing and adjusting prompts dynamically.
- Built to connect language to API values, allowing developers to build integrations without manual text parsing.
- Our Action Orchestrator executes actions visibly and reliably, handling dialogs, edge cases, and errors effectively.
- A single, connected platform for developers to create and manage AI agents across diverse systems and an ever-growing library of plugins
Ready to automate your business processes? Learn more about Agentic Automation Engine and see how fast it can be to create your first AI agent.
2. Vertex AI Agent Builder
Vertex AI Agent Builder is a Google Cloud product that allows you to develop and deploy AI-powered agents across your enterprise. You can seamlessly integrate AI agents into multiple applications and tap into data sources like Google Search and enterprise repositories.
Key features:
- Makes building conversational AI agents easy by using natural language instructions
- Connects trusted data sources using secure API connections
- Leverages Python's open-source framework for building and deploying high-performance AI agents
3. Microsoft Copilot Studio
Microsoft Copilot Studio provides a low-code AI agent builder to develop intelligent automation across Microsoft's 365 ecosystem. By incorporating agentic AI into applications such as Teams and Sharepoint, employees can streamline their workflows while receiving AI-driven support.
Key features:
- Requires less coding experience
- Supports various AI agent types, from simple Q&A bots to fully autonomous agents
- Includes specialized agent capabilities, including Python code interpretation and image generation
4. Salesforce Agent Builder
Salesforce Agent Builder is designed for businesses already using Salesforce. It lets users build their own AI agents that use real-time CRM data for smarter automation.
The platform features a library of pre-built topics and actions that AI agents can perform, making it easy to assign various agents focused on specific tasks or business objectives.
Key features:
- Pre-configured prompt templates that allow for more controlled and customized agent actions
- Built with MuleSoft APIs that enable AI agents to integrate with other external systems
- Salesforce's proprietary Atlas Reasoning Engine which autonomously makes decisions and handles business tasks
5. ServiceNow AI Agent Orchestrator
ServiceNow recently released its own agentic AI platform. It features an AI Agent Orchestrator, designed to manage and monitor active agents across different departments. Businesses can use their existing automation logic, workflows, and chosen integrations as they scale.
Key features:
- Offers a dedicated environment for building, testing, and deploying AI agents
- Allows users to create customized AI agents using a conversational, natural language interface
- Provides pre-built AI agent templates for common use cases, which are easy to customize and deploy
6. Postman AI Agent Builder
Postman is a comprehensive platform that provides various tools to help businesses create highly functional AI agents. One key feature of the platform is its flexibility in supporting a wide range of AI models for development. The platform allows the integration of multiple LLMs, including ChatGPT, Google Gemini, Cohere, and LLaMA.
Key features:
- Turns APIs into agent-ready tools, eliminating the need to rewrite code when supporting custom environments
- Postman's API network provides integration capabilities with over 18,000 software and service providers
- Provides an LLM Comparison Collection that tracks key agent metrics like response time, token usage, and content quality
7. UiPath Agent Builder
UiPath Agent Builder is an in-development solution used to build, test, and launch AI agents in a fully integrated business environment. The UiPath Platform brings classical robotic process automation (RPA) together with AI-powered capabilities.
While still unfinished, the platform is open for early testers, and companies can currently join a waitlist for when it's ready to deploy fully. UiPath is also developing an extensive Agent Catalog which will make it even easier to start launching pre-built agents right away.
Key features:
- Curated collection of pre-built agents that businesses can personalize to their needs
- Simplistic development platform where users can test their AI agents before deploying them
- Ability to launch AI agents as an API so companies can use them wherever they're needed
Start quickly building AI agents with Moveworks
Building and launching your own AI agents can give your business unparalleled flexibility when it comes to automating and streamlining your operations. But choosing the right agent builder platform is critical for ensuring successful business automation deployments.
With Moveworks Creator Studio, you can quickly build and deploy AI agents with just a tiny fraction of the typically necessary code. The platform is designed to help you:
- Automate repetitive tasks like IT ticket resolution, HR inquiries, and customer support issues.
- Seamlessly integrate AI agents into your existing enterprise systems to eliminate inefficiencies.
- Deploy multi-step automation across multiple teams, reducing the need for manual intervention.
- Continuously improve workflows by leveraging AI’s ability to learn and optimize processes over time.
This is how Moveworks helps enable your teams to focus on high-impact work – by automating repetitive tasks and integrating seamlessly with your existing systems.
Want to take AI automation even further? Get a personalized AI agent roadmap for your business.
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