Your gateway to intelligent engagement.
Our Chatbot and LLM solutions offer a powerful way to engage with your audience in a more natural and personalized manner. From customer service to internal support, our Conversational AI and LLM solutions can enhance your operations and improve overall satisfaction.
Rule-based chatbots operate on a foundation of pre-defined rules and corresponding responses. IAC team of experts meticulously analyzes your organization’s interaction data to identify the most common inquiries and craft clear, concise answers for each one.
For well-defined tasks, rule-based chatbots deliver quick and consistent answers, minimizing wait times and frustration.
You can tailor the chatbot's responses and decision trees to perfectly match your brand voice and specific customer needs.
Rule-based chatbot seamlessly integrates with existing web platforms and requires less technical expertise to set up integration on modern applications or knowledge bases
Development and maintenance are generally less expensive compared to AI-powered chatbots.applications or knowledge bases
IAC Conversational AI is powered by large language models that can be tweaked, trained, and adjusted to fit your organization’s use case or needs. Our conversational AI makes the best of large language model fidelity and nuanced understanding while limiting the downsides such as LLM hallucinations, which is the tendency of a traditional AI chatbot to invent new facts and information in a state of uncertainty, by merging it with the precision of traditional NLU-based (Natural Language Understanding) systems.
The component that serves as the backbone, outlining the necessary steps to fulfill a user's request. It comprises rules that guide the conversational AI in specific situations to complete predefined tasks.
This component ensures that the conversational AI comprehends inputs while maintaining the context of what the user aims to achieve, involves commands that reflects the user intentions.
This component steps in when users pose questions or scenarios outside the conversational AI scope. Its role is to gracefully redirect users back to the goal-oriented conversation.
IAC conversational AI seamlessly integrates into your business logic, significantly reducing the friction of implementing a chatbot in your organization. Our solution can be trained with your organization’s data and respond using a nuanced understanding of your business processes.
IAC Conversational AI uses LLM for its Dialog Understanding component. Traditionally, this domain relied on rule-based systems and keyword matching, often leading to rigid and brittle interactions. However, the emergence of Large Language Models (LLMs) has revolutionized Dialogue Understanding by offering a more robust and nuanced approach.
The Conversation Repair component acts as the safety net in our conversational AI solution, responsible for ensuring a smooth and productive interaction even when things go awry. In the past, traditional chatbot systems often relied on rigid scripting and predefined rules that could lead to frustrating dead ends if users deviated from the expected path.
Identifies cases where the user intent is unclear, the AI misinterpreted the input, or the chat has strayed from the intended path.
Prompts the user for further information, offers clarification options, or rephrases the user's intent to confirm understanding.
Gracefully steers the conversation back on track if the user asks questions outside the Conversational AI’s current capabilities.
Offers apologies for misunderstandings and suggests alternative solutions to maintain a positive user experience.
Analyzes conversation breakdowns to identify areas for improvement and enhance the Conversational AI's understanding over time.
Our RPA and AI bots solutions leverage a robust technology stack, including robotic process automation platforms, artificial intelligence technologies, intelligent process automation frameworks, integration technologies, and cloud-based infrastructure.