AIWave Conversation
In a world where everything seems to be just a click away, automating communication is not only a matter of efficiency, but a real necessity. Conversational artificial intelligence allows users to ask questions, get answers, and even perform complex tasks, both in the digital and physical world, through natural dialogue.
Conversational systems therefore find valuable applications in all functions of organizations.
AIWave Conversation offers everything required to develop AI Assistants fully integrated into business processes.
It includes various tools to manage data, develop AI models, also using generative techniques, and implement dialogue flows. With this technology it is also possible to manage both incoming and outgoing communication channels, ensuring a multimodal approach.
Features and Capabilities
Natural Language Understanding
Analyze user requests and identify the most suitable response paradigm among those available.
User Friendly
A no-code Integrated Development Environment (IDE) allows the development and testing of conversational flows. This tool uses a visual approach to combine language understanding models, document queries, F.A.Q.s, and complex actions, providing the user with a complete experience without the need to switch between different development environments.
RAG
Retrieval Augmented Generation combines the retrieval of information from a large database with the generation of new responses based on such information. The system also includes zero-shot models to automate the management of certified responses.
Human in the Loop
Connection tools allow the integration of the human element, improving effectiveness, safety, and quality of conversations.
NLQ
Natural Language Query models allow users to ask questions or request information using natural language rather than complex queries or specific commands.
Benefits
Improve processes through business interactions automation.
Reduce contact costs.
Customize every interaction thanks to a wide range of tools to adjust the AI agent behavior.
Control and monitor the AI agent perfomances over time.
Create consistent, high-quality, conversational experiences across multiple messaging platforms.
Allow human operators to focus on most relevant conversations only.
Logical Architecture
