AI Agent Builder: Definition, Benefits, and Leading Platforms for Creating AI Agents

AI agents are driving the next phase of enterprise AI, reshaping the way humans and AI technologies collaborate. By automating repetitive tasks and supporting more efficient decision-making, AI agents enable businesses to move beyond static automation towards fully autonomous, context-aware operations.

While many companies continue to experiment with out-of-the-box agents for basic functions, an increasing number are now developing bespoke solutions – tailored to their specific workflows, systems, and strategic objectives. The market is responding: according to Grand View Research, the global AI agents market is projected to expand from $5.4 billion in 2024 to over $50 billion by 2030.

This article explores the concept of an AI agent builder, outlines key considerations when evaluating platforms that support custom agent development, and highlights leading tools that enable teams to build and deploy bespoke AI agents that deliver tangible business impact.

What is an AI Agent?

AI agents are intelligent software solutions that utilise artificial intelligence (AI) technologies to interpret context, make decisions, and autonomously carry out tasks to achieve specific business objectives. Designed to complement and support human teams, these agents excel at managing repetitive, data-heavy, or time-sensitive workflows with accuracy and efficiency.

Within enterprise settings, AI agents contribute to process automation, enhanced decision-making, and the delivery of personalised experiences for both customers and employees at scale. Typically embedded within core CRM systems, business workflows, or bespoke applications, these autonomous systems are capable of managing tasks such as:

• Automatically qualifying and routing leads within sales and marketing workflows
• Responding to customer service enquiries with accurate, context-aware answers
• Detecting anomalies in financial transactions or compliance-related operations
• Generating summaries, recommendations, or next-best actions based on historical data
• Orchestrating various backend processes, such as scheduling meetings, retrieving knowledge, automating campaigns, and monitoring their performance, among many others

Modern AI agent platforms provide more than just out-of-the-box (OOTB) solutions; they also enable users to design, deploy and manage bespoke AI agents tailored to their specific business processes. Equipped with no-code development tools, preconfigured AI capabilities, and flexible integration options, these platforms empower businesses to create agents that operate seamlessly across systems, roles, and workflows.

What is an AI Agent Builder?

An AI agent builder is a tool or module within a platform that allows users to design, configure, and manage AI agents, often with minimal coding expertise. These builders bring together core AI capabilities with user-friendly design tools and integration frameworks, enabling both business and IT teams to deploy intelligent agents tailored to their specific workflows and requirements.

Designed to simplify and accelerate the creation process, AI agent builders typically allow users to define agent logic using prompts, visual workflows, triggers, or behaviour rules, all within a unified and intuitive interface. Many platforms also provide prebuilt AI skills, templates, and connectors, helping teams build AI agents more quickly and efficiency.

With the aid of an AI agent builder, organisations can advance their workflows beyond static automation. Custom intelligent agents can be adapted in real time, execute tasks from start to finish, and operate seamlessly across teams and systems – all with minimal human oversight.

Example of AI Agent Builder by Creatio

Why Build Custom AI Agents With an AI Agent Builder?

Rather than reshaping business workflows to suit preconfigured AI agents, an AI agent builder empowers teams to develop solutions that are precisely aligned with business needs. The following core advantages of using an AI agent builder:

1. Aligned with Business Logic. Custom AI agents created within an agent builder are designed around specific workflows, systems, and teams structures, delivering more relevant, accurate, and effective outcomes.
2. Accessible to Non-Technical Users. With intuitive no-code design tools, AI agent builders make intelligent automation accessible to users without technical expertise. This encourages broader ownership, accelerates iteration, and embeds valuable domain-specific knowledge directly into each agent.
3. Accelerated Time to Value. The AI agent builders enable teams to rapidly prototype, test and refine agents, often directly by the end users. This approach reduces reliance on external developers, shortens development cycles, and allows for faster deployment and ROI.
4. Seamless Integration With Core Business Systems. AI agents developed within the platform are designed to integrate directly with CRM systems, third-party tools, and internal team workflows. This ensures they operate within the full business context – precisely where and when their input is most valuable.
5. Enhanced Control, Governance, and Flexibility. By building AI agents in-house, organisations retain complete control over their logic, prompts, data access, and compliance protocols. This approach supports more effective risk management, allows for deeper customisation, and provides the flexibility to scale in ways that off-the-shelf AI solutions cannot match.

Five Leading Platforms for Building AI Agents in 2025

Following an exploration of the core capabilities and advantages of AI agent builders, the next consideration is selecting the most suitable platform. Whether the aim is to integrate agentic AI into customer-facing processes or to automate complex backend operations, the choice of platform will significantly influence the speed and effectiveness with which AI agents deliver value.

Outlined below are five of the most highly regarded AI agent platforms in 2025, each offering distinct advantages to support businesses in building, deploying, and scaling intelligent agents with confidence:

Studio Creatio 

Studio Creatio is an AI-native, no-code platform designed to empower digital leaders to design, develop, and adapt enterprise-grade applications and AI agents with exceptional speed and flexibility. Featuring a comprehensive set of no-code tools, a composable architecture, and deep AI integration, the platform enables users to create bespoke AI-powered solutions tailored precisely to their workflows and strategic objectives.

In contrast to traditional platforms where AI is treated as an add-on, Creatio embeds agentic, generative, and predictive AI at the core of its architecture. As a result, AI agents possess complete awareness of all data objects, relationships, workflows, and business processes within the platform. This holistic view allows them to operate autonomously, make context-aware decisions, and collaborate seamlessly with human users.

With the No-Code Agent Builder, business and domain experts can visually design skills, logic, and knowledge for fully functional AI agents using natural language, with no coding expertise required. These intelligent agents operate seamlessly across the system, managing everything from routine service tasks to complex, cross-functional workflows. Additionally, Creatio provides a range of pre-configured AI agents for sales, marketing, and service. These are embedded within its AI-powered CRM platform to accelerate time-to-value for common, high-impact use cases.

Creatio’s no-code, AI-driven approach significantly reduces development time and complexity. According to Nucleus Research, Creatio can be implemented up to 70% faster than traditional systems, delivering quicker time-to-value and stronger return on investment.

Distinguishing features:

• No-Code AI Agent Builder: Design, train, and deploy AI agents, either as standalone solutions or in collaboration with human users, using an intuitive visual interface, with no coding expertise required.
• AI-Enhanced No-Code Development: Develop enterprise-grade applications with embedded AI functionality, maintaining speed, scalability, and control throughout the development lifecycle.
• AI Command Centre: Centrally manage all AI agents and their associated skills, with full visibility into usage, performance, and access, ensuring governance, compliance, and operational oversight at scale.
• Prebuilt AI Agents: Accelerate time-to-value be deploying out-of-the-box CRM AI agents, customising their capabilities to align with specific workflows and business requirements.
• CRM Platform Integration: Integrate seamlessly with Creatio’s CRM solutions across Marketing, Sales, and Service. AI Agents can be employed to automate tasks such as quote generation, content creation, account research, and more.
• Composable Architecture: Utilise a modular platform designed for rapid adaptation. Components can be extended, reused, and re-configured to meet evolving business needs efficiently.
• Creatio Marketplace: Enhance AI agents functionality with access to over 700 connectors, applications, and integrations, eliminating the need for extensive custom development.

Best suited for:

Medium to large organisations seeking to automate complex business processes, develop bespoke applications, and deploy AI agents at scale, without placing significant demand on the IT department.

Pricing:

Creatio employs a composable pricing model, allowing users to pay only for the products they utilise. The platform offers three plans: Growth (~£18), Enterprise (~£41), and Unlimited (~£63) per user per month. Core AI capabilities, including Predictive AI, Generative AI , and Agentic AI, are automatically included in all plans at no additional cost.

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Microsoft Copilot Studio

Microsoft Copilot Studio is a widely adopted platform that enables businesses to build, customise, and deploy intelligent agents tailored to their specific business operational needs. These custom agents assist users in streamlining complex workflows, automating routine processes, and delivering data-driven insights across Microsoft’s ecosystem. Equipped with advanced capabilities such as natural language-based agent tuning, UI-driven automation, and multi-agent orchestration, it serves as an effective visual builder, particularly well-suited to organisations already operating within the Microsoft ecosystem.

Distinguishing features:

• Visual Agent Builder that enables users to create custom agents using a guided, natural language interface
• Starter Prompts to initiate the agent creation process, aligned with established design guidelines and best practices
• Agent flows to direct agents’ behaviour and define actions at scale
• Multi-agent Orchestration that allows Copilot agents to collaborate in sequence to carry out tasks such as data research, content generation, back-office operations
• Copilot Tuning to fine-tune multiple large language models using relevant tenant data.
• Enterprise-Grade Integration with Microsoft 365, Dataverse, Power Automate, and Azure

Best suited for:

Enterprises that are closely integrated with the Microsoft 365 ecosystem and wish to automate workflows across internal business functions, such as HR, IT, and finance, using minimal code.

Pricing:

Microsoft Copilot Studio provides two primary pricing options: message packs, priced ~£150 ($200) per tenant per month for 25,000 messages, and a pay-as-you-go option, which is based on actual usage and requires an active Azure subscription.

Salesforce Agent Builder

Salesforce Agent Builder is a low-code tool within the Agentforce platform, designed for creating and customising autonomous AI agents within the Salesforce ecosystem. It enables users to develop intelligent agents that automate tasks, manage customer interactions, and enhance productivity – all through natural language instructions and guided configurations. Should an agent be unable to respond to a particular enquiry, it can be configured to escalate the matter to a human representative for further assistance.

Distinguishing features:

• Out-of-the-box topics to handle common prompts and use cases
• Agent Roles to provide clarity around the types of tasks your agent should be performing continuously
• Prompted Actions that are used by agents to carry out routine, repetitive tasks such as retrieving specific information, generating content, or summarising a response
• Workflows, in which agents can invoke Flows and utilise their output to support the initial prompt
• Plan Tracer to preview and test the AI agent’s responses

Best suited for:

Large enterprises already operating within the Salesforce products that wish to integrate AI agents directly into their CRM workflows, with minimal reliance on coding.

Pricing:

Salesforce Agentforce provides a range of consumption-based pricing options. These include a Conversations model, priced at a flat rate of ~£1.50 ($2) per conversation, and Flex Credits, where customers purchase credit bundles starting at ~£373 ($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 enable both professional developers and citizen users to create, customise, test, and deploy enterprise-grade AI agents. The platform provides an intuitive, user-friendly interface that allows users to define agents' roles, objectives, and constraints using natural language prompts. These configurations can be safely refined and iterated to ensure alignment with specific business goals and requirements.

Distinguishing features:

• Visual Design Canvas, a low-code environment that enables users to visually construct agents by linking various components and configuring their behaviour
• Context grounding to securely connect agents to internal knowledge bases in real time
• Multi-Agent Orchestration to coordinate multiple agents and robots within complex workflows using UiPath Maestro orchestrator
• UiPath AI Trust Layer to ensure that agents operate within clearly defined parameters and remain fully compliant with enterprise policies and regulations
• Seamless RPA Integration to allow agents to invoke UiPath automations, APIs, other agents, or UI bots

Best suited for:

Organisations aiming to enhance complex, multi-step workflows by combining agentic AI with RPA capabilities.

Pricing:

The platform offers a range of pricing plans, beginning at ~£19 ($25) per month for individuals and small teams. Customised plans for larger businesses and enterprises are available upon request.

Relevance AI

Relevance AI is a contemporary agentic AI platform designed to facilitate the creation of task-based agents through an intuitive no-code interface. It enables users to visually configure agent logic, assign skills, and integrate agents into real-world business operations. Built for speed and ease of use, Relevance AI provides visual tools, templates, and pre-built components, making agent development straightforward, even for non-technical users.

Distinguishing 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, summarisation, 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 suited for:

Midsize teams and startups seeking to develop LLM-based process agents without the need for extensive coding expertise.

Pricing:

Relevance AI offers plans starting at ~£133 ($179) per month for small teams (up to 10 users and 100,000 monthly credits). Additional credits can be purchased as needed, and custom pricing is available for enterprise-level requirements.

Key Considerations When Selecting an AI Agent Platform

As the number of agentic AI platforms continues to grow, identifying the most suitable solution for a specific business can a complex task. The following are some of the most critical factors to consider when evaluating AI agent software:

Ease of Use and Customisation

The right platform should empower both business users and IT professionals to create and manage AI agents with ease. Seel solutions that offer no-code functionality, drag-and-drop builders, prompt-based configurations, and pre-built templates for common agent use cases, enabling quick deployment and easy adjustments in response to changing business requirements.

The agent builder should also support robust customisation options, allowing teams to adjust logic, fine-tune behaviour, and add custom triggers where necessary. This level of flexibility ensures that AI agents can be purposefully designed to align with specific workflows, roles, and operational objectives.

Integration Capabilities

Custom-built AI agents should integrate effortlessly with existing systems such as CRM, ERP, service platforms, and third-party applications. Prioritise platforms that offer robust APIs, pre-built connectors, and flexible integration options, enabling agents to access data, trigger actions, and run seamlessly across your tech stack.

Governance and Visibility

As AI agents take on a broader range of business critical tasks, oversight becomes essential. To monitor performance, manage changes, and ensure compliance across every AI agent, choose platforms with built-in features, including performance dashboards, role-based permissions, and version control.

Scalability and Orchestration

With increased adoption, the platform should be capable of supporting multiple AI agents – across functions such as sales, marketing, service or industry-specific operations – running in parallel across teams and business processes. To maximise efficiency, select the platform that provides smooth cross-agent communication, centralised coordination, and consistent performance as scale increases.

Development Speed and Ongoing Maintenance

A capable AI agent builder should allow organisations to move from concept to deployment within days, rather than months. With intuitive no-code tools, reusable templates, and pre-built components integrated into the platform’s builder, teams can accelerate agent creation while reducing reliance on IT teams.

Equally important is the ability to update logic, retrain models, and adapt AI agents as business requirements evolve. Rapid iteration and low-effort maintenance are essential to ensure AI agents remain effective, relevant, and aligned over time.

Unlock the Full Potential of AI Agents with Creatio

If the goal is to implement custom AI agents within your business, there has never been a better time to get started. With the right AI agent builder, it is entirely possible to develop intelligent assistants capable of autonomously managing complex workflows or augmenting human teams, without writing a single line of code.

Creatio provides an AI-native no-code platform that empowers uses across the business to design, configure, and deploy enterprise-grade AI agents in a matter of days. Using the No-Code Agent Builder, business professionals can visually skills, workflows, and knowledge into fully operational agents that align precisely with the business goals and requirements.

Whether the focus is on streamlining customer-facing processes or coordinating complex back-end operations, Creatio offers the tools needed to scale AI-native automation, delivering both full control and high degree of flexibility.