AI agents are increasingly integrated into our work processes. Now, anyone can build GenAI agents and easily integrate them into websites and applications to personalize digital interactions and provide quick and relevant responses without writing a single line of code or needing special AI skills.
Some key capabilities of AI agents include:
Call Center Optimization – Let AI provide quick answers to common questions swiftly and direct the team to more complex cases.
Increased Revenue – With your AI agent, you can ask the right questions to understand your customers’ behavior and preferences, use the information to provide personalized recommendations, and with AI, offer the right product at the right time to the right person.
Enhanced Customer Service – Use AI agents to provide quick responses to users using natural language and save them the need to search for answers or wait for a representative.
Website Translation – Utilize AI capabilities for translation to open a global market for your offerings.
Employee System Optimization – From onboarding processes to professional development according to seniority.
With AI Agent, you can get AI assistance to create personalized development plans and career advancement based on the skills, performance, and aspirations of the employee.
3 Tools to Easily Build AI Agents Without Code
Relevanceai
Allows you to build your own AI agents without code and take your automations to the next level with artificial intelligence that can adapt at the click of a button.
Creating an Agent with Relevanceai:
- Click on Create Agent. Give it a name, avatar, description, etc.
- Add AI Skills/Tools – Skills give the agent the ability to perform actions. There are pre-built skills available. Simply drag and drop to add.
- Define Triggers – Triggers indicate conditions under which a skill should act. For example, activate a skill when the agent receives a specific question.
- Done! Your agent is ready. Start interacting with the agent. The agent will improve with more interactions.
Voiceflow
Voiceflow is designed for organizations that need control and a growing scale of AI agents.
This tool allows you to design, develop, and launch advanced AI agents using various AI models without code through AI AGENT BUILDER. Voiceflow capabilities can be expanded with API interfaces.
Reusable components and the modular structure of Voiceflow allow for rapid iteration.
AI AGENT BUILDER – Enables you to build more than one agent answering common questions, build workflows, and automate complex tasks.
Voiceflow is SOC-2 and ISO27001 compliant for user management and permissions.
Outsystems
Outsystems’ AI Agent Builder allows anyone to easily create AI agents and any business to enter the GenAI revolution.
Outsystems allows control over access to models and connects different AI models and knowledge sources to one platform for building GenAI applications that enable you to monitor AI model performance for accurate and reliable results.
Outsystems enables any organization to easily improve efficiency, increase customer satisfaction, and continuously enhance personalization.
If you are still unsure about diving in, FAQs can help you understand a bit more and when to use:
FAQs – AI AGENT BUILDER
What is an AI Agent?
AI agents are like smart robots. They can autonomously perform a wide range of tasks without human intervention. Their capabilities extend beyond just conversation; they can analyze, make decisions, and take action based on the data they process. They can converse with other agents or even with us, humans, using everyday language or other ways to communicate.
How Does AI Agent Builder Work?
AI Agent Builder turns building AI-based agents into a breeze for everyone in a few simple steps without writing code:
Choose the model of the AI model you want to use. If you’re unsure at this stage, go with the default proposal and refine later.
In simple language, explain to the agent what it needs to do, for example:
“You are a friendly support agent for a website providing green energy services. Your task is to respond to customer questions and issues. Provide them with comprehensive answers including clear instructions. Ask questions if necessary to gather additional information. Ensure your response is informative, professional, and reassuring.”
Provide the model with relevant learning resources: Choose a data repository from which the agent can learn and upload it to the interface.
Save the agent and add it to relevant applications and digital assets.
How to Choose an AI Agent Builder?
Good question. Every day, more and more companies offer the option to build AI agents. Here are the things to consider when choosing the right one for you:
- What is your budget? Based on this question, you can understand how complex the builder needs to be.
- How many users do you need and does the builder need to allow team collaboration in the interface?
- What is the growth potential of the agent? Can it become multiple agents or needs to be able to integrate with other systems? If so, make sure the builder has the ability to provide you with APIs for advanced developments.
- What is the financial value of the service the AI agent provides you? Whether it’s customer service or sales, how much is it worth to you. This way, you can compare between agents in terms of pricing and ensure what is profitable for you.
- How many users does the builder have, is there a community around it – the more users and community, the greater the chance the builder will continue to evolve further.
Good luck!
