AI agents for business operations, also known as intelligent virtual assistants (IVA), virtual agents, and digital employees, allow businesses and customers to interact. These conversations, powered by the latest AI and machine learning (ML), are human-like and sound natural.
A key differentiator between AI agents for business operations and chatbots software is the nature of the conversation conducted. Chatbots are typically scripted and cannot understand multiple intents. They frequently rely on menu bars and have limited ability to understand users' inputs. On the other hand, AI agents understand a range of different intents from a singular utterance. They can interpret responses they are not explicitly programmed for using natural language processing (NLP).
With machine learning (ML) and deep learning, AI agents for business operations can grow intelligently, understand a wider vocabulary and colloquial language, and provide more precise and correct responses to requests.
They can also provide personalized answers based on segmentation or other information provided. Additionally, they are often focused on a particular job role or use case, such as marketing, customer service, and sales.
This type of software has the ability to use the human’s output as input to drive automation, such as updating business systems like CRM software. They perform these tasks and other autonomous actions without being programmed explicitly to do so.
AI agents can come in various subtypes, including AI customer support agents, AI IT agents, and AI SDRs. These varieties provide specific capabilities for interacting with customers, employees with IT queries, and prospects, respectively.
To qualify for inclusion in the AI Agents For Business Operations category, a product must:
Understand a conversational request by using NLP or speech recognition
Give users the ability to customize the AI agent
Provide tools to analyze conversations via dashboards or reports
Have the ability to route conversations to a human
Allow for human-in-loop capabilities to ensure accuracy and viability of AI agent
Engage in advanced automation, through AI and integrations, with some level of autonomy
