12 Top No-Code AI Agent Builders for Your Team in 2025

The idea of building custom AI agents once felt like a project for developers with extensive coding knowledge and big budgets. That is no longer the case. A new generation of no-code AI agent builders has appeared, giving teams in sales, operations, customer success, and design the ability to create sophisticated, autonomous assistants without writing a single line of code.

These platforms solve a major business problem: automating repetitive tasks, analyzing data, and interacting with customers or internal systems intelligently. Imagine an AI agent that automatically qualifies sales leads by asking them questions in a chat widget, then updates your CRM. Or consider an agent that handles tier-one customer support inquiries, freeing up your human team to focus on more involved issues. For instance, to see how AI agents are already being put to work in specific domains, you can look at resources on the applications of AI agents for SEO and marketing.

This guide provides a comparison of the top no-code AI agent builders available today. We will analyze each platform, looking at its specific strengths, ideal use cases for different business teams, and potential limitations. You will find feature comparisons, pricing information, and short setup examples to help you visualize how each tool works. Every entry includes screenshots and direct links, so you can quickly find the right platform to start building your own AI agents. Our goal is to give you a clear, practical roadmap for selecting the tool that best fits your specific business needs and technical comfort level.

1. Chatiant

Chatiant is a powerful, enterprise-ready choice among no-code AI agent builders that focuses on practical, internal-facing applications. It excels at transforming your company's scattered knowledge from websites, internal documentation, PDFs, and helpdesk articles into a centralized, conversational AI agent. This agent operates directly within the collaboration tools your teams already depend on, like Google Chat, Slack, and Microsoft Teams.

This platform moves beyond simple question-and-answer bots. With its no-code workflow builder, you can design agents that execute custom actions. For example, a sales team member could ask the bot to look up an order status in your CRM, or an operations manager could trigger a ticket creation in your helpdesk, all from a simple chat command. Chatiant handles the API calls and data lookups in the background.

The automatic syncing feature is a significant advantage. It continuously indexes your specified knowledge sources, meaning the agent always provides current and accurate information with minimal manual upkeep. For more difficult situations, the system features an intelligent escalation path, seamlessly handing off conversations to the appropriate human expert when the AI reaches its limits. This combination of data integration, workflow automation, and smart escalation makes Chatiant a formidable tool for improving internal efficiency.

Key Features:

• Rapid Knowledge Indexing: Automatically syncs with websites, PDFs, and knowledge bases to train agents quickly.
• Native Workplace Integration: Deploys directly inside Google Chat, Slack, and Microsoft Teams for immediate access.
• No-Code Custom Actions: Builds workflows to call APIs, update CRMs, create support tickets, or book meetings.
• Intelligent Escalation: Smartly routes complex queries to the correct human agent for resolution.

While pricing details require contacting their sales team, you can begin with a free signup to explore the platform's core capabilities.

Website: https://www.chatiant.com

2. Google Vertex AI Agent Builder

Google Vertex AI Agent Builder is an enterprise-grade platform for creating sophisticated AI agents without deep coding knowledge. It's part of the broader Google Cloud ecosystem, offering a fully managed environment that handles the difficult infrastructure, like scaling and security, so teams can focus on designing agent logic and workflows. This makes it a powerful choice for organizations already invested in or planning to use Google Cloud services.

What sets Vertex AI apart is its native integration with other powerful Google services. You can easily connect agents to data sources like Google Drive, BigQuery, and even external tools such as Jira and Slack. This allows you to build agents that perform retrieval-augmented generation (RAG) using your own company's data, providing accurate, context-aware responses. The platform is one of the more robust no-code AI agent builders for creating production-ready applications.

Key Features & Considerations

• Best For: Operations, Development, and Customer Success teams needing scalable, secure agents integrated with Google's ecosystem.
• Standout Feature: The managed Agent Engine automatically handles runtime scaling, security, and both short-term and long-term memory for conversations.
• Integrations: Native connectors for Vertex AI Search, Google Drive, Slack, Jira, BigQuery, and more.
• Pricing: A usage-based model (per vCPU/GiB-second) with a monthly free tier and new-customer credits. It requires a Google Cloud project with billing enabled.

You can explore a more detailed analysis of the platform in our full guide on Google Vertex AI Agent Builder.

Website: https://cloud.google.com/products/agent-builder

3. Microsoft Copilot Studio

Microsoft Copilot Studio is a visual, no-code tool designed for creating task-oriented AI agents that operate within Microsoft 365 and external channels. It is deeply integrated with the Power Platform and Dataverse, offering a unified environment for building, managing, and governing AI copilots. This makes it a good choice for organizations heavily invested in the Microsoft ecosystem, allowing them to extend their existing data and security frameworks into their AI agents.

What makes Copilot Studio distinct is its direct access to Microsoft 365 data via Microsoft Graph. This allows builders to create agents that can interact with information from Teams, SharePoint, and other Microsoft applications, all while respecting existing security policies. The platform serves as one of the most cohesive no-code AI agent builders for companies wanting to use their internal Microsoft data securely and efficiently, providing enterprise-grade governance through the Power Platform admin center.

Key Features & Considerations

• Best For: Operations, IT, and Customer Success teams within Microsoft-centric organizations looking to automate internal processes and customer interactions.
• Standout Feature: The drag-and-drop authoring canvas combined with native integration into Dataverse and hundreds of Power Platform connectors.
• Integrations: Native connections to Microsoft 365 apps (Teams, SharePoint, Graph), Power Platform connectors, and publishing to web, app, and social channels.
• Pricing: A flexible credit model with "Copilot Credits" capacity packs or a pay-as-you-go option. It requires an Azure subscription and is also included with Microsoft 365 Copilot licenses.

Website: https://www.microsoft.com/en-us/microsoft-365/copilot/pricing/copilot-studio

4. OpenAI ChatGPT (Custom GPTs and Agent mode)

OpenAI's ChatGPT platform provides one of the most accessible entry points into creating custom AI agents through its Custom GPTs feature. This allows individuals and teams to build specialized versions of ChatGPT for specific tasks or knowledge domains without writing a single line of code. Users can define the agent's instructions, provide it with custom knowledge files for retrieval, and select which tools it can use, such as web browsing or image generation.

What makes ChatGPT a standout among no-code AI agent builders is its rapid prototyping capability combined with direct access to OpenAI's latest models. For teams, the Enterprise and Team plans add important governance features like admin controls, SSO, and shared workspaces, making it a viable option for internal company tools. You can create an agent to analyze sales data from an uploaded CSV, a marketing assistant that drafts social media posts based on a brand guide, or a support bot trained on your product documentation.

Key Features & Considerations

• Best For: Individuals, Sales, and Operations teams looking for rapid prototyping and easy creation of specialized internal assistants.
• Standout Feature: The conversational builder interface lets you create and refine a Custom GPT by simply describing what you want it to do.
• Integrations: Connectors to popular data sources and the ability to define custom API actions for advanced workflows.
• Pricing: A free tier with limitations, a Plus plan for individuals, and Team/Enterprise plans with per-user monthly billing and higher usage caps.

You can read about the latest advancements in our complete overview of AI agents.

Website: https://openai.com/pricing

5. Zapier Agents

Zapier Agents transforms the company's well-known automation capabilities into no-code AI "teammates" that can reason and take action across thousands of applications. This platform is ideal for users who want to combine agentic logic with Zapier's extensive library of app integrations. Instead of just triggering a workflow, these agents can browse websites, read from knowledge sources, and execute multi-step tasks across business tools like your CRM or project management software.

What makes Zapier Agents stand out is its direct access to Zapier Actions. This allows an AI agent to perform specific operations, such as creating a new lead in Salesforce or updating a task in Asana, using live data. This approach provides a practical and accessible entry point for teams looking to automate involved operational processes. It is one of the more versatile no-code AI agent builders for connecting reasoning with real-world business actions.

Key Features & Considerations

• Best For: Operations, Sales, and Marketing teams wanting to automate complex, multi-app workflows with AI reasoning.
• Standout Feature: The ability to grant agents access to Zapier Actions, enabling them to perform tasks across more than 8,000 SaaS applications.
• Integrations: Connects to the entire Zapier ecosystem, including Google Sheets, Salesforce, Slack, Asana, and thousands more.
• Pricing: A usage-based model metered by "activities." It offers a good free tier for trial purposes, with scalable plans for Teams and Enterprise accounts.

For a closer look at how these systems work, you can get more information on how to build AI agents with platforms like Zapier.

Website: https://zapier.com/l/central-pricing

6. Voiceflow

Voiceflow is a drag-and-drop studio for building both chat and voice agents. It provides a visual canvas that simplifies the process of designing complex conversational flows. This platform is used by a range of teams, from startups to Fortune 500 companies, for sophisticated conversational design, prototyping, and deployment.

What makes Voiceflow a strong choice is its mature and intuitive user experience specifically for conversation design. Users can ingest knowledge sources, connect to various LLMs, and use templates to accelerate development. The platform also offers robust team collaboration, versioning, and analytics, making it one of the more comprehensive no-code AI agent builders for creating and managing conversational AI projects at scale.

Key Features & Considerations

• Best For: Design, Customer Success, and Development teams focused on creating intricate, multi-turn chat and voice experiences.
• Standout Feature: A highly refined visual builder that allows for granular control over conversational logic and user journeys.
• Integrations: Supports a wide array of LLMs and can be deployed to websites, apps, and voice assistants through embeddable widgets and APIs.
• Pricing: Offers a free tier for individuals, a Pro plan at $50/creator/month, and custom Enterprise pricing. The system is credits-based, requiring users to estimate usage for interactions.

Website: https://www.voiceflow.com

7. Botpress

Botpress is a visual agent studio that specializes in creating and deploying branded webchat agents quickly. It offers a comprehensive environment with hosted deployment, knowledge base ingestion, and human handoff capabilities. The platform is designed for users who want to launch a functional chatbot or agent with minimal friction, providing direct control over branding and the user-facing web widget.

What makes Botpress a compelling option is its transparent approach to pricing and resource management. The platform features a cost dashboard that tracks LLM provider pass-through pricing, giving teams clear visibility into their AI spending. This model, combined with a drag-and-drop studio and a powerful emulator for testing, makes it one of the more accessible no-code AI agent builders for teams focused on web-based customer interactions.

Key Features & Considerations

• Best For: Customer Success, Sales, and Marketing teams needing a fast way to deploy branded, knowledge-driven webchat agents.
• Standout Feature: The visual, drag-and-drop Studio combined with a knowledge base feature that allows for easy ingestion of documents and URLs.
• Integrations: Includes a library of add-ons and the ability to connect to various external services through APIs.
• Pricing: Starts with a free "Pay-As-You-Go" plan that includes a starter AI credit. Paid plans (Team, Managed) add features like role-based access and advanced support, with AI spend billed separately.

Website: https://botpress.com/pricing

8. Dify.ai

Dify.ai is a versatile platform with open-source foundations, offering a visual, low-code environment to build AI agents, chatflows, and applications. It uniquely provides both a polished cloud service and a self-hosted option, giving teams full control over their deployment environment. This flexibility is ideal for developers and operations teams who want to start quickly on the cloud but retain the option to manage their own infrastructure later.

What makes Dify.ai stand out is its comprehensive App Studio and model vendor management system. You can bring your own Large Language Model (LLM) keys and use Dify to manage them, even setting up load balancing between different providers. The platform supports building everything from simple text generators to complex Retrieval-Augmented Generation (RAG) workflows using its built-in Knowledge Base feature. As one of the more adaptable no-code AI agent builders, it appeals to those who value both customization and ease of use.

Key Features & Considerations

• Best For: Development and Operations teams who need a flexible platform that supports both cloud and self-hosted deployments.
• Standout Feature: The ability to bring your own LLM keys and manage multiple model vendors, complete with load balancing.
• Integrations: Connects to various LLMs (OpenAI, Anthropic, etc.), with tools and workflows managed within the App Studio.
• Pricing: Offers a free tier with usage credits, a "Startup" plan at $59/month for more features, and a "Business" plan at $159/month for larger teams. A self-hosted version is also available.

Website: https://dify.ai/pricing

9. IBM watsonx Assistant

IBM watsonx Assistant is an enterprise-focused platform designed for building sophisticated virtual agents with strong security and governance features. As part of the broader watsonx ecosystem, it provides a no-code visual builder that is now improved with large language models (LLMs) for more natural, generative answers. This makes it a compelling choice for mid-market and enterprise organizations that require robust, compliant, and scalable AI solutions.

What distinguishes watsonx Assistant is its deep integration into IBM's comprehensive AI and data platform. This allows businesses to connect agents to powerful tools for retrieval-augmented generation (RAG), machine learning, and data governance, all within a single environment. The platform offers pre-built integrations for various business systems and channels, making it one of the more powerful no-code AI agent builders for companies with complex operational needs and a focus on data security.

Key Features & Considerations

• Best For: Enterprise Operations, IT, and Customer Service teams that need secure, scalable, and compliant virtual agents integrated with the IBM ecosystem.
• Standout Feature: Its position within the watsonx platform, offering a unified suite of tools for RAG, machine learning, and data governance alongside the agent builder.
• Integrations: Pre-built connectors for popular business systems and communication channels to streamline deployment.
• Pricing: A componentized pricing model based on usage across the watsonx platform. A free "Lite" plan is available to get started.

Website: https://www.ibm.com/products/watson-assistant/pricing

10. Intercom Fin

Intercom Fin is a production-grade AI agent built specifically for customer support. It resolves tickets across channels like email, chat, and WhatsApp without requiring code. Fin can be deployed in under an hour and integrates directly with Intercom's helpdesk or can operate as a standalone agent with existing platforms like Zendesk or Salesforce, making it a flexible choice for established support teams.

What makes Fin different is its clear, business-focused pricing model. You pay per successful resolution, which aligns costs directly with performance and simplifies budget forecasting for pilot programs. It includes customizable tones, a seamless human handoff process, and "Actions" that allow it to update external systems. This makes Fin one of the more practical no-code AI agent builders for customer success teams looking for immediate impact.

Key Features & Considerations

• Best For: Customer Success and Support teams that need to automate resolutions quickly across multiple communication channels.
• Standout Feature: The pay-per-resolution pricing model ($0.99 per resolution) eliminates seat costs and makes it easy to measure ROI.
• Integrations: Natively works with Intercom or can run as a standalone agent connected to Zendesk, Salesforce, HubSpot, and others.
• Pricing: A pure pay-per-resolution model with a free trial. The standalone version has a minimum monthly spend requirement.

Website: https://fin.ai/pricing

11. Make.com AI Agents (beta)

Make.com extends its powerful visual automation platform with AI Agents, currently in beta. This feature allows users to orchestrate tools, call APIs, and execute tasks within existing Make scenarios. It uses Make's massive library of over 2,000 app integrations, providing a familiar environment for those who already build complex workflows on the platform. This makes it one of the most integration-rich no-code AI agent builders available.

What makes this offering unique is its deep integration into a mature automation ecosystem. You are not just building an agent; you are embedding AI decision-making directly into multi-step, multi-app workflows. Users can build and manage agents natively or bring their own Large Language Model (LLM) keys on paid plans. The detailed execution logs provide clear visibility into every step the agent takes, which is valuable for debugging and optimization.

Key Features & Considerations

• Best For: Operations, Development, and marketing teams looking to embed AI agents into existing, complex automation workflows.
• Standout Feature: Direct access to Make's library of 2,000+ app integrations, complete with routers, filters, and detailed execution logs for agent-led tasks.
• Integrations: Nearly unlimited via the Make.com platform, including a MCP server connector for advanced agent tooling.
• Pricing: A credits-based model with a generous free tier. Paid plans are required to connect your own LLM provider key (BYO).

Website: https://www.make.com/en/pricing

12. Retell AI

Retell AI is a specialized platform for building production-ready voice and chat agents without coding. It focuses on creating AI that can answer calls, schedule appointments, and perform triage with conversational fluidity. The platform is engineered for real-time automatic speech recognition (ASR) and text-to-speech (TTS), allowing for more natural-sounding interactions suitable for businesses piloting voice automation.

What makes Retell AI different is its dedicated focus on high-performance voice agents. It provides features like simulation testing to refine agent responses before deployment, warm transfers to human agents, and detailed call analytics. This makes it one of the more practical no-code AI agent builders for customer-facing roles that depend on voice communication, like inbound sales or support, where a clear and responsive AI is important for a good user experience.

Key Features & Considerations

• Best For: Customer Success, Operations, and Sales teams looking to automate inbound call handling, appointment scheduling, or initial customer triage.
• Standout Feature: Real-time ASR/TTS with support for multiple voice engines, which provides highly responsive and natural-sounding voice interactions.
• Integrations: Connects with various LLMs and telephony providers, allowing for customized agent performance and cost management.
• Pricing: A transparent pay-as-you-go model with no platform fees, billed per minute. It includes a pricing calculator and free credits to start.

Website: https://www.retellai.com/pricing

No-Code AI Agent Builders: 12-Tool Comparison

How to Choose the Right No-Code AI Agent Builder

We have explored a wide range of platforms, from enterprise-grade solutions like Microsoft Copilot Studio and Google Vertex AI to more specialized tools such as Voiceflow for conversational design and Zapier Agents for simple task automation. Each of these no-code AI agent builders offers a unique approach to creating intelligent, autonomous systems without writing a single line of code. The key takeaway is that the "best" tool is entirely dependent on your specific goals, existing tech stack, and the difficulty of the tasks you want to automate.

For a sales team, a builder that integrates seamlessly with your CRM and can handle lead qualification is a priority. For operations, a tool with robust process automation capabilities like those found in Make.com or Zapier will deliver the most value. The right choice moves you from manual, repetitive work to automated, intelligent workflows that free up your team for more strategic initiatives.

Final Considerations for Your Selection

Before making a final decision, evaluate your needs against these important factors. This will help you select a platform that not only meets your current requirements but also scales with your future ambitions.

• Define Your Core Use Case: Are you building an internal agent to summarize Slack channels, a customer-facing chatbot for your website, or a complex operational agent to manage inventory? Your primary objective will immediately narrow the field. For instance, Intercom Fin is excellent for customer support, while Botpress offers granular control for developers needing a custom conversational flow.
• Assess Integration Needs: Your AI agent will not operate in a vacuum. List the applications it must connect with, such as Slack, Google Workspace, Webflow, or your internal databases. Check the native integration library of each potential builder. If a direct connection is missing, evaluate its API capabilities or its compatibility with a third-party connector like Zapier.
• Evaluate Scalability and Complexity: Consider your long-term vision. A simple tool like a Custom GPT might be perfect for a quick internal proof-of-concept. However, if you anticipate needing multi-step, conditional logic and sophisticated error handling, platforms like Chatiant or IBM watsonx Assistant are better equipped to handle that growth. Do not pick a tool that solves today's problem but creates a roadblock for tomorrow's plans.
• Consider the User Experience: Who will be building and maintaining these agents? If it's a non-technical marketing or operations team, a visually intuitive, drag-and-drop interface is non-negotiable. If your team has some technical aptitude, a platform offering more advanced customization might be a better fit. For businesses that need a polished user interface but lack in-house design resources, exploring the work of the best no-code design agencies can provide insight into what's possible with no-code development.
• Review Pricing Models: The cost structures vary significantly. Some platforms charge per agent execution, others have a flat monthly fee, and many use a tiered system based on feature access. Calculate your expected usage and map it to the pricing tiers to avoid unexpected costs as you scale your agent's activity.

The rise of no-code AI agent builders represents a significant shift in how businesses can use artificial intelligence. The power to create sophisticated, autonomous agents is no longer restricted to developers with deep machine learning knowledge. It is now accessible to the creative, problem-solving minds across every department, ready to build solutions that drive efficiency and innovation. The journey starts with a single, well-defined problem and the right tool to solve it.

Ready to build intelligent agents that connect directly to your business applications and data sources? Chatiant offers a powerful, no-code platform designed for teams to automate complex workflows and create sophisticated AI assistants with ease. Start building your first agent in minutes at Chatiant.