AI Agents and AI Agent Platforms—what we used to refer to as AI chatbots—involves the technologies behind building a software based application called an Agent that can answer questions and with Agentic capabilities, can do tasks and roles.
AI Agents use Generative AI, which is powered by Large Language Models that harness natural language processing (NLP) technologies that may be text chat or voice to provide an engaging interface for applications. AI Agents have advanced rapidly in the last two years and now they are expanding the capabilities they have. The challenge for many enterprises is getting started. That said with prompting and generative AI based coding, the ability to develop AI Agents has gotten much easier. That said, enterprises need to have a project plan, which includes vendor selection, development and AI Agent testing. All of that needs to be done before going live.
Special Report: Using Conversational AI to Transform Your Customer Interactions
Communication is a key component of business. The interactions between an enterprise and its customers and the quality of those interactions determines the growth of the business. Conversational AI can be utilized to improve these interactions, therefore improving the customer experience and generating more revenue.
Good customer service ultimately leads to higher lead conversion and increased revenue. Implementing conversational AI allows your organization to interact with more customers and become more adept at meeting their immediate needs. The data gathered from Conversational AI tools also allows sales teams to gain more insights about the customer journey.
This special report provides research that can help you prepare for the growth of the Conversational AI market and how to utilize it to improve your customer interactions.
The Aragon Research Globe for AI Agent Platforms, 2025
The AI Agent Platform market is rapidly evolving into the Agent Platform market, driven by the rise of generative AI.
What is Model Context Protocol?
The Model Context Protocol (MCP) is an emerging open standard developed by Anthropic that enables AI agents to interact with external data sources, tools, and applications through a standardized client-server architecture. This Research Note discusses MCP and its implications for generative AI in the enterprise.
The Rise of Agentic Identity and Security Platforms
Digital Labor is being powered by AI Agents and emerging Agentic Agents, which are basically digital workers that can do full job roles. The need to secure these new offerings means a new category is emerging called Agentic Identity and Security Platforms. This Research Note identifies this new category and why enterprises need to make it part of their overall AI operational strategy.
Five Trends You Can't Miss in Conversational AI, 2023
This Research highlight 5 trends in conversational AI that have a major impact on enterprises moving forward.
To view all of our research on the cloud visit our AI Index >
Webinar
Chatbots Get Smarter: 4 Key Trends in Conversational AI
With: Craig Kennedy, Sr. Director of Research
Covers:
- What key trends are driving the Conversational AI market growth?
- Which key technologies matter for Conversational AI?
- What are the best practices to put chatbots to work in your enterprise?
Aragon Live
eBook
Your Guide to Conversational AI: Improving Customer Experience
This eBook explains how to best implement conversational AI capabilities into your business processes to improve customer experience.
Digital Labor Is Here – Why You Need to Care
Digital labor has been here for a long time, but not in the way you might think of it. We’ve been using ATMs for years, which offloads some of the simpler tasks that a human teller would perform. An ATM is a form of digital labor in the sense that it requires you to interact with a computer application to deposit or withdraw money from your account.
Today, when you go into a McDonald’s, you generally order from a kiosk rather than a human. This blog talks about the rise of digital labor and why virtual agents and chatbots will come in many forms.
Chatbots VS Conversational AI: What's the Difference?
Day-to-day interactions – both personal and professional – are becoming increasingly digitized. It’s likely that you text, call, or FaceTime many of your friends and family members more often than you speak to them face-to-face. Likewise, business-to-customer relations are largely fostered in a digital environment.