Top AI Agent No-Code Platforms in 2025

Introduction

In 2025, AI agent platforms are redefining how businesses automate work, interact with customers, and scale value. Evolving far beyond basic chatbots, today’s AI agents are intelligent, autonomous systems that can reason, collaborate, and complete complex tasks. With the rise of no-code platforms, creating these agents no longer requires technical expertise—making advanced automation accessible to business users. 

According Capegemini, 92% of enterprises plan to increase AI investments, most still struggle with true AI maturity. AI agent builders help bridge this gap, enabling organizations to accelerate productivity and time-to-value without heavy development resources. 

In this blog, we’ll explore what AI agent platforms are, why they matter, and which no-code AI Agent platforms are leading the way in 2025. 

What Are AI Agent Builders?   

A no-code AI agent platform allows users to create, deploy, and manage AI-powered agents without writing any code. These platforms use visual interfaces—such as drag-and-drop builders, templates, and pre-built logic blocks—so that non-technical users can personalized AI agents.  

On the platform, users will typically be able to configure their AI Agent with the following capabilities. 

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According to Capgemini, “Among those early adopter organizations that have implemented generative AI (Gen AI), around 30% have already integrated AI agents into their business operations. Agentic AI projects are expected to rise by 48% by the end of 2025. The research also finds that one in five organizations already use AI agents or multi-agent systems, with Gen AI and agentic AI already delivering significant cost savings and operational efficiencies in business functions.”  

Benefits of AI Agent Builders  

1. Enhanced Efficiency and Automation: AI agent Builders significantly boost productivity by automating repetitive tasks and streamlining the development process. Instead of building applications from the ground up, users can leverage pre-built components and intelligent automation to rapidly create and deploy AI agents. By handling much of the coding and design behind the scenes, AI agent builders enable users to focus on functionality and business outcomes, rather than technical complexity

2. Cost Reduction & ROI: Traditional application development typically demands substantial investment in skilled developers, infrastructure, and long development cycles. In contrast, AI Agent Builders enable businesses to achieve similar outcomes more efficiently and with fewer resources. By reducing development costs and minimizing technical barriers, these platforms allow startups, small and medium enterprises to compete more effectively with larger, resource-rich organizations. According to Capgemini, enterprises are now seeing substantial returns, with those surveyed achieving a 1.7 times ROI from their Gen AI and AI investments.

3. Built for non-technical teams: No-code AI Agent builders democratize development by enabling users from any field to build sophisticated AI agents without writing code. This fosters cross-functional innovation and reduces dependency on scarce technical talent.

4. Scalability: AI Agent builders often come equipped with scalable architectures and integrated AI capabilities— This means applications can evolve with business needs while continuously learning and improving performance over time. According to Capgemini, “The total number of AI agent projects in an average organization are expected to grow 48% in 2025.”

Key Features of AI Agent Builders   

AI Agent builders offer a range of key features designed to enhance the development and deployment of intelligent systems. Here are some of the notable features: 

• No-Code: Many platforms provide visual flow builders and drag-and-drop interfaces, allowing users to design AI agents without extensive programming knowledge.
• LLM model library: These AI Agents platforms provide access to a curated library of large language models (LLMs), including models like GPT, Llama, Mistral, and many more, enabling users to choose the best model for their use case.
• Prompt: Most platforms support advanced prompt customization, enabling users to fine-tune behavior, control outputs, and improve accuracy for specific tasks or use case.
• Integration Capabilities: These platforms often support integration with APIs, enabling seamless connectivity with existing systems and data sources.
• MCP: MCP, which stands for Model Context Protocol, is a standard created to facilitate the integration of large language models (LLMs) with external data sources and tools. MCPs are structured within MCP servers, whether local or remote, providing multiple tools accessible to LLMs. The AI Agent builders allow you to add specific MCP configurations to your agents, enabling users to access the tools from those MCPs in the chat.
• Tools: Platforms typically offer prebuilt tools e.g., Confluence, SharePoint, ServiceNow, Web search, etc to enhance your agents’ capabilities. 
• Data source and RAG: Connect to internal or external data sources and use RAG techniques to ground LLM responses with accurate, up-to-date information from proprietary documents or knowledge bases.
• Analytics and Monitoring: Comprehensive dashboards for tracking agent performance and user interactions are common, helping businesses optimize their AI agents.
• Customization and Flexibility: Users can customize AI agents to suit specific business needs, (add tools, connect to your data, add MCP server) 
• Scalability: AI agent builders are designed to handle increasing workloads and complex tasks, ensuring they can grow with business demands.
• Security and Compliance: Enterprise-grade security features are often included to protect data and ensure compliance with industry standards. Leading platforms are often SOC2-certified and compliant with standards such as GDPR and the EU AI Act. 

These features collectively enable businesses to automate workflows, enhance productivity, and drive growth by leveraging AI technology effectively. 

Top 5 AI Agent Builders in 2025 

AI Builders Research, the analyst arm of AI Builders, has developed an AI Decision Matrix that delivers a comprehensive market analysis. Through clear segmentation and in-depth descriptions of each solution, it equips businesses with the insights needed to navigate the evolving landscape and strategically plan for the deployment of emerging AI tools. 

Here are the most prominent—and widely adopted—platforms this year:

1. Konverso.ai: Recognized as a “Best-in-Class AI” platform, Konverso is a European no-code AIagent builder designed to empower organizations with speed, efficiency, and adaptability. With European data residency, and a strong commitment to frugal, responsible AI, Konverso helps enterprises deploy intelligent AI agents across all teams. By leveraging company data, Konverso’s AI agents improve the efficiency of sales, marketing, customer support, IT, HR, and more. For example, with our AI agents, our clients reduce their response time to customer RFPs by 7 times and decrease the volume of tickets to IT and HR support functions by 30%.  Why choose Konverso? (See below.)

Key Features of Konverso 

• Ready to use AI Agents: With Konverso, you can get started in no time using our ready-to-use AI agents built for most of your teams' needs and use cases. It's as easy as browsing through a library, selecting the right agents and starting the conversation. Konverso offers more than 35 pre-built AI Agents.
• Create Personalized AI Agents: Every team has their specific needs. Easily design AI agents for personalized use cases your teams might have. Use the AI agent builder to create the agents from scratch that fit your exact teams' needs and let them start using it in no time.
• Connect AI Agent to your enterprise data sources: Konverso integrates with Microsoft, Google, Atlassian, ServiceNow, HubSpot and more. Easily connect your organization's data to Konverso to feed agents with your proprietary data and unleash the full power of our solution.
• Enable AI agent to automate with tools: Select among 30 + prebuilt tools with powerful capabilities to integrate your AI agents with your enterprise workflows. For instance, you can select tools to perform automation with Microsoft O365, Jira or ServiceNow. You can also equip your AI agent with intelligent search capabilities on the internet. Tools increase your ROI and generate an amazing experience.
• Model Context Protocol (MCP) configurations: Access the highly anticipated MCP (Model Context Protocol) feature on the platform that lets you create and manage custom configurations for your AI agents. Choose from a variety of supported servers, such as Outlook by Konverso, Zapier, and more. Once configured, these MCPs can be assigned to any agent, enabling seamless in-chat access to the right tools and workflows, tailored to each agent’s purpose.
• GDPR Compliant & SOC 2 type II Certified: 

Privacy-Preserving Training: We prioritize your privacy. Customer prompts or data are never used to train our models. This ensures your data is used solely for its intended Purpose. 

Data redundancy: By storing backups in a separate region, we implement data redundancy that strengthens our clients' data reliability, disaster recovery, integrity, performance, and business continuity. 

2. Copilot Studio: Copilot Studio is an end-to-end conversational AI platform developed by Microsoft that empowers users to create intelligent agents using natural language or a visual interface. It offers a low-code/no-code graphical development environment for building agents infused with generative AI capabilities. Integrated tightly with Microsoft 365 and Azure, it supports enterprise-grade deployment, security, and integration with tools like Power Automate, enabling users to build AI agents that automate workflows, retrieve business data, and interact naturally with users across Microsoft Teams and other channels.
   
   
3. Kore.ai: Kore.ai is a leading provider of conversational and generative AI platforms, designed to optimize customer experience (CX) and employee experience (EX). Its no-code Experience Optimization (XO) Platform enables businesses to design, build, train, test, and deploy intelligent virtual assistants and chatbots across voice, web, and messaging channels. The platform includes advanced NLP, dialog design tools, analytics, and built-in integrations with enterprise systems such as Salesforce, SAP, and ServiceNow. Kore.ai also offers vertical-specific solutions and compliance-ready deployments for industries like banking, healthcare, and insurance.
   
   
4. Delos: Delos is a modern AI agent platform built to accelerate enterprise productivity by leveraging the power of generative AI. It provides a secure and collaborative environment for building, customizing, and sharing task-specific AI agents. Delos stands out with its orchestration layer that intelligently selects and routes tasks to the most appropriate LLMs, removing the complexity of model selection from the user. The platform supports advanced prompt chaining, tool integration, and real-time collaboration, making it ideal for teams looking to streamline knowledge work, automate decision-making, and reduce manual effort.
   
   
5. Squirro: Squirro is an enterprise-grade AI platform focused on transforming data into actionable insights through contextual intelligence. It combines generative AI, machine learning, and knowledge graphs to enhance decision-making and knowledge management across the organization. Squirro integrates seamlessly with both structured and unstructured data sources—such as CRM systems, emails, documents, and databases—allowing users to build AI-powered search, recommendation, and automation solutions. Its use cases span across financial services, manufacturing, and government, with strong emphasis on data privacy, security, and explainability.

Conclusion

AI agent builders have evolved from emerging innovation to strategic necessity in 2025. According to Deloitte, 25% of organizations leveraging generative AI are expected to launch Agentic AI pilots or proofs of concept (POCs) this year, with that number projected to double to 50% by 2027. 

No-code platforms like Konverso are helping bridge the gap between AI ambition and execution by delivering AI agents for multiples tasks that’s directly connected to enterprise data providing secure and scalable AI tailored for mid-sized businesses. We have helped companies achieve: 

• +42% greater accuracy in answering employee questions. 

• +29% faster at a series of knowledge work tasks. 

• +14% more customer issues resolved per hour 

Whether your organization is just beginning its AI journey or scaling enterprise-wide adoption, selecting the right AI agent builder—one that is secure, compliant, and built for measurable business impact—will be key to AI leadership. 

Schedule a demo today and supercharge your teams with personalized AI Agents. 

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Sources:

https://www.capgemini.com/insights/research-library/generative-ai-in-organizations-2024/ https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work  https://www.capgemini.com/news/press-releases/agentic-ai-integration-set-to-accelerate-this-year-among-gen-ai-early-adopters/ https://www.linkedin.com/feed/update/urn:li:activity:7336075653789720576/