Agentic AI
Discover how AI agent builders can transform your business in 2025. This article explores what AI agent builders are, their benefits, top platforms, and tips for choosing the right one for your organization. Stay ahead in the AI revolution!
When a major financial services firm needed to process thousands of customer support tickets daily, they turned to AI agents. Within six months, their response time dropped from hours to minutes, and customer satisfaction scores increased by 40%. This isn't an isolated success story. As of 2024, 72% of organizations have integrated AI into their operations, transforming how businesses handle everything from customer service to data analysis.
This article explores what AI agent builders are, their benefits, top platforms, and tips for choosing the right one for your organization.
The evolution of AI technology has reached a critical point. Traditional automation handles simple, repetitive tasks. AI agent builders take this further. An AI agent builder is a platform that enables organizations to create these intelligent automated systems without extensive coding knowledge. Think of it as a sophisticated workshop where you can assemble custom AI workers tailored to your specific needs. These platforms provide the tools, infrastructure, and interfaces needed to design, deploy, and manage AI agents that can handle everything from customer inquiries to complex operational workflows.
Choosing an AI agent builder that aligns with your business goals can maximize value. Here are the key factors to evaluate:
Can non-technical teams use the platform?
A user-friendly interface is essential for organizations where technical expertise may be limited. By 2025, nearly 70% of new business applications are expected to rely on low-code or no-code technologies, highlighting the growing importance of intuitive tools. Look for platforms that offer agent templates or visual builders that make it easy to set up and customize AI agents.
Can the platform grow with your business?
Scalability isn't just about handling more requests. It's about growing with your organization's evolving needs. As you expand, your AI infrastructure should scale across multiple dimensions: supporting more agents, handling larger workloads, and adapting to new use cases.
Look for platforms that offer enterprise-grade scalability from the start. This means they should handle increased complexity without performance degradation, support seamless integration with existing and future systems, and maintain reliability as usage grows. The ideal solution minimizes technical overhead while maximizing operational flexibility, letting you focus on business value rather than infrastructure management.
Will it fit seamlessly into your current tech stack?
Compatibility with existing tools like CRMs, ERPs, or other data systems ensures smoother adoption. Some platforms even enable deep integration with business data to make automation more impactful.
Does it deliver a strong ROI?
AI implementation can be expensive, so choose a platform with scalable, transparent pricing models. Ensure the builder delivers measurable outcomes within budget. Smart cost management starts with optimizing each component of your AI agent solution. For example, using small language models (SLMs) significantly reduces costs while maintaining performance. SLMs are more compact and can often achieve similar results while cutting compute spend by up to 50% compared to larger models.
Now that you know what to look out for when choosing the right AI agent builder, let’s take a look at some of the leading options:
Google’s Vertex AI Agent Builder empowers businesses to build and deploy AI agents easily. It’s a leading choice for organizations looking to integrate advanced AI into their workflows.
Vertex AI Agent Builder is ideal for global businesses managing large-scale operations. Its flexibility and advanced features enable teams to automate complex workflows, improve customer interactions, and drive operational efficiency across departments.
Vertex AI operates on a transparent pay-as-you-go model, allowing businesses to scale costs based on usage. Chat agents are priced at $12 per 1,000 queries, and voice agents cost $0.002 per second. New users can also access a free trial with $1,000 in credits valid for the first year.
Arcee Orchestra is a turnkey, end-to-end platform that makes it easy to design, test, deploy, and scale reliable generative AI agents and workflows, powered by specialized small language models (SLMs) for optimal efficiency across entire departments.
Gain Operational Excellence
Arcee Orchestra empowers enterprises to automate a wide range of tasks, including report generation, issue escalation, and compliance monitoring, streamlining operations and driving productivity.
Arcee AI offers flexible pricing plans tailored to different organizational needs. Whether you want to deploy AI agents in your VPC or on our cloud, we have a range of pricing options to suit your requirements. For detailed information, contact our sales team to book a demo.
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Relevance AI enables organizations to automate tasks and extract actionable insights from unstructured data. It's for industries requiring deep analytics to inform decision-making and optimize operations.
Relevance AI is ideal for industries that rely on deep analytics, such as finance, healthcare, and e-commerce. It allows organizations to automate complex tasks, gain meaningful insights, and make data-driven decisions.
Additional credits can be purchased at $20 per 10,000 credits, and extra knowledge storage is available at $100 per GB.
Agentforce integrates with Salesforce's CRM platform to provide support for sales-driven industries.
Agentforce is ideal for sales-driven industries. It can automate workflows and enhance customer interactions for improved sales processes and customer satisfaction.
Agentforce operates on a per-conversation pricing model, starting at $2 per conversation, with standard volume discounts available for high-usage customers.
LangChain is an open-source framework that helps developers and businesses build AI applications powered by large language models (LLMs). Its design and integration capabilities make it a flexible platform for creating tailored AI workflows.
LangChain is ideal for industries like finance, healthcare, and e-commerce that require deep analytics and customized automation. Its flexibility supports the development of AI workflows that align with unique operational goals.
Lindy can automate workflows and support various business functions. It offers a range of features and pricing options to cater to different organizational needs.
Lindy is particularly beneficial for sales-driven industries, as it automates repetitive tasks, allowing teams to focus on strategic initiatives. Its support and integrations make it ideal for organizations aiming to enhance efficiency and customer engagement.
Lindy offers a free plan that includes 400 credits per month, allowing users to perform up to 400 tasks. Additional credits are available at $0.08 per credit. For more advanced features and higher usage requirements, Lindy provides custom enterprise packages tailored to organizational needs.
AutoGen is an open-source programming framework developed by Microsoft. It facilitates the creation and collaboration of AI agents to solve complex tasks. It enables developers to build applications powered by LLMs through multi-agent conversations and interactions.
AutoGen is ideal for businesses seeking to automate complex workflows and enhance productivity through intelligent agent collaboration. Its framework supports both autonomous operations and human-in-the-loop problem-solving.
As an open-source framework, AutoGen is freely available for use under the MIT License, allowing organizations to integrate its capabilities without licensing fees. For enterprise-level support and additional features, organizations may need to explore custom solutions or third-party services.
While many AI platforms require piecing together various components and rely heavily on large language models, Arcee Orchestra takes a different approach with two key differentiators:
First, it leverages specialized Small Language Models (SLMs) for enhanced efficiency. Unlike platforms that depend solely on general-purpose LLMs, Arcee Orchestra's SLM-powered workflows deliver precise, targeted results while reducing computational costs.
Second, it provides a comprehensive, all-in-one platform that eliminates the complexity of managing multiple vendors and tools. This unified approach streamlines development, simplifies security management, and ensures reliable scaling - all within a single, cohesive environment that can be deployed according to your security requirements.
While choosing the right AI agent builder is crucial, implementing it successfully can be equally challenging. Let’s explore the common obstacles you might face and practical strategies to overcome them.
Many organizations struggle with limited technical knowledge, which can slow down the adoption of AI tools.
Solution: Opt for platforms that offer low-code or no-code interfaces, enabling non-technical teams to create and manage AI agents. Alternatively, partner with implementation experts who can guide your team through setup and customization.
AI solutions must work seamlessly with your current tools, such as CRMs or ERPs. Compatibility problems can lead to inefficiencies and disruptions. Additionally, with so many LLMs in workflows, companies—especially in sensitive industries like finance and healthcare—may have valid concerns about data privacy and security
Solution: Conduct a compatibility audit before selecting a platform to ensure it integrates well with your existing systems. Prioritize platforms that offer extensive API support, pre-built connectors, and enterprise-grade security measures to protect sensitive data. Look for solutions that adhere to industry standards and compliance regulations to mitigate risks.
High implementation costs can deter organizations, especially when scaling solutions.
Solution: Start with platforms that offer scalable pricing models. Begin with essential features and expand usage as your needs grow. Many providers offer free trials or entry-level plans to help you assess ROI before committing.
By proactively addressing these challenges, your organization can minimize risks and disruptions.
Selecting the right AI agent builder is critical in modernizing your organization’s workflows.
Start small with scalable platforms, ensure integration with existing systems, and focus on solutions that deliver ROI. The right choice can drive innovation and efficiency for your organization.
An AI agent builder is a platform that helps businesses create automated systems, or AI agents, to handle tasks like customer support, data analysis, and workflow automation without requiring extensive coding.
The best platform depends on your needs. For scalability and security, consider Vertex AI. For customization, efficiency, and reliable results, Arcee AI is ideal. LangChain is excellent for open-source flexibility and integration.
Key factors include ease of use for non-technical teams, scalability, integration with existing tools, and cost-effectiveness to ensure a strong return on investment.
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