AI agents are shaping the next wave of enterprise AI, transforming how humans and AI technologies collaborate. From automating repetitive tasks to streamlining decisions, AI agents help businesses evolve from static automation to fully autonomous, context-aware execution.
While many companies are experimenting with out-of-the-box agents for basic tasks, a growing number are now building their own — tailored to their workflows, tools, and goals. And the market is responding: according to Grand View Research, the global AI agents market is set to grow from $5.4 billion in 2024 to over $50 billion by 2030.
In this article, we’ll explain what an AI agent builder is, what to look for in platforms that support custom agent development, and the top tools that help teams build and deploy custom AI agents that drive real business impact.
What is an AI Agent?
AI agents are software solutions that use artificial intelligence (AI) technologies for perceiving context, making decisions, and autonomously executing tasks to achieve specific business goals. These agents are designed to augment human teams by handling repetitive, data-intensive, or time-sensitive workflows with speed and precision.
In enterprise environments, AI agents assist in automating processes, enhancing decision-making, and delivering personalized customer and employee experiences at scale. Commonly embedded into the core of CRM systems, business workflows, or custom apps, these autonomous systems handle tasks like:
- Automatically qualifying and routing leads in sales and marketing workflows
- Responding to customer service tickets with accurate, context-aware answers
- Detecting anomalies in financial transactions or compliance operations
- Generating summaries, recommendations, or next-best actions based on historical data
- Orchestrating various backend processes, like scheduling meetings, retrieving knowledge, automating campaigns and tracking their performance, and many more
Modern AI agent platforms not only provide out-of-the-box (OOTB) AI agents, but also enable users to design, deploy and manage custom AI agents that fit their specific business processes. With built-in no-code tools, preconfigured AI skills, and flexible integrations, such platforms empower businesses to create agents that work seamlessly across systems, roles, and workflows.
What is AI Agent Builder?
An AI agent builder is a tool or module within a platform that enables users to create, configure, and manage AI agents, often without extensive coding skills. These builders combine core AI capabilities with intuitive design tools and integration frameworks, allowing both business and IT teams to launch intelligent agents tailored to their processes and needs.
Designed to simplify and accelerate development, AI agent builders allow users to define agent logic using prompts, visual workflows, triggers, or behavior rules through a unified, intuitive interface. Many platforms also offer prebuilt AI skills, templates, and connectors to help teams build AI agents faster and with greater efficiency.
With an AI agent builder, organizations can accelerate workflows beyond static automation. They can deploy custom intelligent agents that adapt in real time, execute tasks end-to-end, and operate seamlessly across teams and systems with minimal human oversight.
Example of AI Agent Builder by Creatio
Why Build Custom AI Agents With an AI Agent Builder?
Rather than adapting your workflows to preconfigured AI agents, an AI agent builder empowers teams to create agents that are fully aligned with your business needs. The five key benefits of AI agent builders include:
- Tailored to Your Business Logic. Custom AI agents built in an agent builder are fully designed around your exact workflows, systems, and teams to deliver more relevant and accurate outcomes.
- Accessible to Non-Technical Users. With no-code design tools, AI agent builders allow any user to take ownership of intelligent automation. This enables faster iteration of agents’ capabilities and opens domain-specific knowledge baked into each agent.
- Faster Time to Value. The AI agent builder enables teams to rapidly prototype, test and refine agents directly by end users. This helps avoid lengthy development cycles and vendor delays, resulting in quicker launches and faster ROI.
- Integrated into Core Business Systems. AI agents created in-platform connect directly with your CRM, third-party tools and team workflows, which enables them to always act within the business context, when and where it’s most needed.
- Greater Control, Governance, and Flexibility. When you build AI agents yourself, you maintain full control over logic, prompts, data access, and compliance. This ensures better risk management, deeper customization, and scalable growth beyond what off-the-shelf AI can offer.
5 Best Platforms to Build AI Agents in 2025
Having explored the core functions and benefits of AI agent builders, the next step is choosing the right platform. Whether you’re looking to embed agentic AI into customer-facing workflows or automate complex backend processes, the platform you choose will shape how quickly and effectively your AI agents deliver value.
Here are five of the top-rated AI agent platforms in 2025, each offering unique strengths to help businesses build, deploy, and scale intelligent agents effectively:
Platform | Core Focus | G2 rating |
| Studio Creatio | A comprehensive AI-native no-code platform to automate workflows and CRM | 4.6 / 5 |
| Microsoft Copilot Studio | An AI agent development platform to assist employees and customers | 4.4 / 5 |
| Salesforce Agent Builder | AI-powered low-code agent builder to handle multiple use cases | 4.4 / 5 |
| UiPath Agent Builder | Specialized AI agent development platform for enterprises to automate complex workflows | 4.6 / 5 |
| Relevance AI | A visual platform to create purpose-built AI agents | 4.5 / 5 |
Studio Creatio
Studio Creatio is an AI-native no-code platform that empowers digital leaders to design, build, and evolve enterprise-grade applications and AI agents with maximum flexibility and speed. It provides a robust set of no-code tools, composable architecture and deep AI integration, enabling users to build unique AI-powered solutions that are fully tailored to their specific workflows and business goals.
Unlike traditional platforms that provide AI as an add-on, Creatio embeds agentic, generative, and predictive AI directly into its core architecture. This gives AI agents full awareness of all data objects, relationships, workflows, and processes across the platform, allowing them to act autonomously, make decisions in context, and collaborate effectively with human users.
With the No-Code Agent Builder, business and domain experts can visually compose skills, logic, and knowledge into fully functional AI agents using natural language, with no coding expertise required. These intelligent agents work seamlessly across the system and handle everything from repetitive service tasks to complex, cross-functional workflows. Additionally, Creatio provides out-of-the-box AI agents for sales, marketing, and service, which are integrated into its AI-powered CRM to accelerate time-to-value for common, high-impact use cases.
Creatio’s AI-powered no-code approach dramatically reduces development time and complexity. According to Nucleus Research, Creatio can be implemented 70% faster compared to legacy systems, delivering more rapid time-to-value and increasing ROI.
Key Features:
- No-Code AI Agent Builder: Design, train, and deploy AI agents that operate independently or in collaboration with human users through an intuitive visual interface, with no coding required.
- AI-Enhanced No-Code Development: Build enterprise-grade applications with embedded AI capabilities, maintaining speed, control, and scalability throughout the development lifecycle.
- AI Command Center: Centrally manage all AI agents and skills with full visibility into usage, performance, and access, ensuring governance and operational control at scale.
- Prebuilt AI Agents: Leverage out-of-the-box CRM AI agents and customize their skills to your specific workflows to accelerate time-to-value.
- CRM Platform Integration: Seamlessly connect with Creatio’s CRM products for Marketing, Sales, and Service, and integrate AI Agents to automate tasks like quote generation, content creation, account research, and more.
- Composable Architecture: Leverage a modular platform to extend, reuse, and reconfigure components for fast adaptation to evolving business needs.
- Creatio Marketplace: Extend AI agents’ capabilities with 700+ connectors, apps, and integrations without extensive development.
Best for:
Medium to large organizations that need to automate complex business processes, build custom applications, and deploy AI agents at scale, without relying heavily on the IT team.
Pricing:
Creatio features a composable pricing model in which users pay for the products they use. The platform offers three plans: Growth ($25), Enterprise ($55), and Unlimited ($85) per user per month, with the core AI capabilities (Predictive AI, Generative AI , and Agentic AI) automatically included in each plan at no cost.
Build AI Agents with Creatio
Microsoft Copilot Studio
Microsoft Copilot Studio is a popular platform that enables businesses to build, customize, and deploy intelligent agents for their specific business operations and needs. These custom agents empower users to streamline complex workflows, automate processes, and deliver data-driven insights across Microsoft’s ecosystem. With powerful features like natural-language agent tuning, UI-based automation, and multi-agent orchestration, it’s a good visual builder for organizations already embedded in the Microsoft stack.
Key Features:
- Visual Agent Builder that enables users to create custom agents using a guided, natural language interface
- Starter Prompts to kickstart the agent creation process based on the popular design guidelines and best practices
- Agent flows to guide the agents’ behavior and define actions at scale
- Multi-agent Orchestration that enables Copilot agents to work together in a chain to perform specific tasks like data research, content generation, back-office operations and so on
- Copilot Tuning to fine-tune multiple LLMs based on the relevant tenant data.
- Enterprise-Grade Integration with Microsoft 365, Dataverse, Power Automate, and Azure
Best for:
Enterprises that deeply integrate with the Microsoft 365 stack and aim to automate workflows across internal business functions (e.g., HR, IT, finance) with minimal coding
Pricing:
Microsoft Copilot Studio offers two main pricing options: message packs (priced 200 per tenant per month for 25,000 messages) and a pay-as-you-go option (based on your actual usage, with an Azure subscription required).
Salesforce Agent Builder
Salesforce Agent Builder is the low-code tool within the Agentforce platform, which is used for creating and customizing autonomous AI agents within the Salesforce ecosystem. It allows users to build intelligent agents that automate tasks, handle customer interactions, and improve productivity — all using natural language instructions and guidelines. If the specific agent is unable to answer the prompt, it can also be configured to escalate to humans for add-on assistance.
Key Features:
- Out-of-the-box topics to handle common prompts and use cases
- Agent Roles to provide clarity around the types of jobs your agent should be doing around the clock
- Prompted Actions that are used by agents to perform common, repetitive tasks like retrieving specific information, generating content, or summarizing a response
- Workflows, in which agents can invoke Flows and use their output to help respond to the initial prompt
- Plan Tracer to preview and test the AI agent’s responses
Best for:
Large enterprises that are already using Salesforce products and want to integrate AI agents directly into their CRM workflows, with minimal coding.
Pricing:
Salesforce Agentforce offers several consumption-based pricing models: Conversations, $2 flat fee per each conversation, and Flex Credits, in which customers purchase credits in packs, starting $500 per 100,000 credits.
UiPath Agent Builder
UiPath Agent Builder is a low-code development environment within UiPath Studio (and Studio Web) designed to help both developers and citizen users create, customize, test, and deploy enterprise-grade AI agents. The platform provides an intuitive and easy-to-use interface for defining agents' roles, goals, and constraints through natural language prompting, which can be safely iterated to align with specific business objectives and needs.
Key Features:
- Visual Design Canvas, a low-code environment that allows users to visually construct agents by connecting different components and configuring their behavior
- Context grounding to securely connect agents to internal knowledge bases in real-time
- Multi-Agent Orchestration to coordinate multiple agents and robots in complex workflows using UiPath Maestro orchestrator
- UiPath AI Trust Layer to ensure that agents operate within defined parameters and are fully compliant with enterprise policies and regulations
- Seamless RPA Integration to enable agents to invoke UiPath automations, APIs, other agents, or UI bots
Best for:
Organizations looking to elevate complex, multi-step workflows with a combination of agentic AI and RPA capabilities.
Pricing:
The platform offers several pricing plans, starting from $25 per month for individuals and small teams. Higher-tier plans, designed for businesses and enterprises, are available upon request.
Relevance AI
Relevance AI is a modern agentic AI platform focused on creating task-based agent through an intuitive no-code interface. It enables users to visually configure agent logic, assign skills, and embed agents into real-world business processes. Designed for speed and accessibility, Relevance AI offers visual tools, templates, and prebuilt components that make agent building simple for non-technical users.
Key Features:
- No-Code Agent Creation to design agents by defining logic, workflows, and skills using a drag-and-drop interface
- Multi-Agent Teams to design collaborative agents that work together on complex workflows
- Prebuilt tools and templates to accelerate development with reusable agent blueprints for outreach, summarization, lead scoring, and more
- Integrations with third-party tools to activate agents in real workflows
- Multiple LLMs support (OpenAI, Anthropic, Google) for greater flexibility and performance optimization
Best for:
Midsize teams and startups looking to build LLM-based process agents without extensive coding.
Pricing:
Relevance AI offers plans starting at $179/month for small teams (up to 10 users and 100,000 monthly credits). Additional credits are available for purchase, and enterprise-level options are available with custom pricing.
Key Things to Look for in the Best AI Agent Platform
With more agentic AI platforms entering the market, choosing the right solution that ideally works for your business can feel overwhelming. Here are the most essential aspects to evaluate for AI agent software:
Ease of Use and Customization
The right platform should enable any user, whether it’s a business user or IT expert, to create AI agents of any type and manage them with ease. Look for software that offers no-code capabilities, drag-and-drop builders, prompt-based configurations, and prebuilt templates for common agent use cases to launch faster and timely adjust your AI agents to evolving business needs.
The agent builder should also support deep customization, allowing teams to adjust logic, fine-tune behavior, and add custom triggers as needed. This flexibility enables businesses to create AI agents that are purpose-built for specific workflows, roles, and operational goals.
Integration Capabilities
Custom-built AI agents should easily operate across your existing systems, like CRM, ERP, service tools, and third-party apps. Look for platforms with robust APIs, prebuilt connectors, and flexible integration options that allow agents to access data, trigger actions, and run seamlessly across your tech stack.
Governance and Visibility
As AI agents take on a range of critical tasks, oversight becomes essential. To track performance, manage changes, and ensure compliance across every AI agent, choose platforms with built-in features like performance dashboards, role-based permissions, and version control.
Scalability and Orchestration
As your use of AI agents expands, the platform should support multiple agents – like sales, marketing, service or industry-specific AI agents – running in parallel across teams and business processes. To maximize the AI agents’ efficiency, choose the platform that provides smooth cross-agent communication, centralized coordination, and consistent performance at scale.
Development Speed & Ongoing Maintenance
A strong AI agent builder should take you from idea to deployment in days, not months. With intuitive no-code tools, reusable templates, and prebuilt components integrated into the platform’s builder, teams can accelerate agent creation while reducing reliance on IT teams.
Finally, the platform should enable teams to easily update logic, retrain models, and adapt AI agents according to the evolving business needs. Fast iteration and low-effort maintenance are essential to keep the agents aligned and effective over time.
Unlock the Full Potential of AI Agents with Creatio
If you're ready to launch custom AI agents for your business, now is the time to make it happen. With the right AI agent builder, you can create intelligent assistants that autonomously manage complex workflows or augment human teams, without writing a single line of code.
Creatio offers an AI-native no-code platform that empowers any user to design, configure, and deploy enterprise-grade AI agents in a matter of days. With the No-Code Agent Builder, business experts can visually compose skills, workflows, and knowledge into fully functional agents that fully align with the business goals and needs.
Whether you're streamlining customer-facing processes or orchestrating complex back-end operations, Creatio makes it easy to scale AI-native automation with full control and maximum degree of freedom.
