AI-Powered Sales Expansion Tool

Conversational AI Features

In the process of our collaboration, we created 2 versions of cold lead chatbots, their functionalities ranging from basic natural language processing (NLP) to an advanced generative model that understands a larger scope of inputs and engages in more complex dialogues.

Version 1: Rasa-Driven Chatbot

We started with scripted chatbots, which are commonly used in customer service. Even though these bots trigger responses without advanced NLP and NLU, they made a sound foundation for us to develop a system capable of processing FAQs in voiced dialogues, delivering both cost-effectiveness and high-quality conversations.

This allowed us to create a decision tree or a flowchart that determined the customers’ responses depending on keywords, phrases, or set choices they made. As a result, the speech output made up 1 second, which the client found to be highly satisfactory. 

Here is how version 1 of the Voice Chatbot Workflow operates:

Version 2: Advanced Generative AI Assistant

This version of the system uses Generative LLM models, enabling the creation of diverse conversations across a wide range of topics. By eliminating traditional limitations, these generative models make it possible to deploy the Assistant in virtually any domain and for any type of conversation.

When we integrated an LLM with the chatbot, it leveraged language generation capabilities to create a more flexible conversational experience. Seeing that the input text is split into smaller units, LLM effectively processes it, generating coherent and contextually appropriate responses with the same speed as in version 1.

Here is how Advanced Generative AI Assistant operates:
 

This version of AI Assistant is significantly more user-friendly for administrators. Setting it up takes as little as 5 minutes: it is enough to train the bot to speak on a chosen topic, customize its voice and accent, and configure other preferences. Once set,  the AI Assistant promptly engages itself in the conversations with clients, providing a detailed analysis of telephone interactions.

To wrap up, Version 2 of the conversational AI already has multilingual capabilities: it can communicate in any language (with different accents if needed), meaning the chatbot seamlessly adjusts its language to align with the user's preference. FAQs and client support are also available. On top of that, AI-powered chatbot configurations are more user-friendly, allowing end-users to independently set up and configure the active chatbot. 

AI Consultant Workflow

Here is a step-by-step overview of a standard AI consultant. The AI consultant makes a call to the specified number and introduces itself. Then, it waits for the client's response. The client's spoken response is converted to text using STT. The text input is analyzed to determine the most appropriate response. Text to Speech transforms this text response into speech, continuing the conversation. Depending on the AI script, this process can continue for as long as necessary.

Effortless Functionality

The AI consultant is self-sufficient and intuitive: 

• There is no need for training or managing human staff.
• A campaign is easily launched – the first call can be made in 5 – 10 minutes after accessing the agent’s page.

Analytics and Reporting

The AI consultant can make thousands of phone calls, generating detailed reports for each interaction. A report commonly contains:

• Details on whether a person or machine answered, if the call was rejected, the call disposition, for example whether a sale was made, if the person requested no further contact, or asked to be called back later. The administrator reviews each call outcome and adjusts the Redial Rules settings accordingly.
• Campaign duration key metrics: average call duration, response time, completion rate, resolution time, and peak engagement periods.

• Campaign results which can be accessed through CSV downloads, CRM exports, or messenger notifications.

  

The AI Consultant’s Skillset

The bot is capable of performing a range of actions like:

• Booking a meeting on a calendar;
• CRM integrations;
• Sending SMS;
• Sending messenger notifications;
• Web search;
• Saving the call recording and other relevant information (company details, customer’s phone number, and a conversation summary) in a user-friendly format;
• Integrating with the client’s API to enable functionalities such as searching for an order by its number and retrieving its status, tailored for the Sales Department Assistant.

Chatbot to Human Transition

The AI consultant enables seamless integration with human representatives. If a customer shows interest, the AI consultant can transfer the call to a live representative from the client’s team. This action is also captured in key metrics.

Delivered Values

• Agent costs were significantly reduced from $15 to $1 per hour;
• Onboarding time for a call campaign decreased from 2 weeks to 1 day;
• Onboarding costs for a call campaign lowered from $5,000 to $100;
• AI consultant requires no training as a human agent would;
• The number of agents for any call campaign is now unlimited;
• The AI Consultant offers multilingual communication, supporting a wide range of languages and accents.
• The process of call dispositioning and the tasks that were traditionally managed by call center agents have been fully automated.

Summary

AI is revolutionizing enterprise IT strategy on a transformative scale. The growing demand for systems like AI Consultants has motivated SapientPro development team to double down on such bots’ smarter automation. As evidenced by our achievements, SapientPro engineers have the expertise to develop bots of any complexity. Partner with industry experts to accelerate your business with proven AI technologies.