Advances in artificial intelligence (AI), machine learning (ML), and natural language processing and understanding (NLP and NLU) change the way companies interact with their customers.
CFront Assistant is a low code Conversational AI platform that enables the creation of AI-powered bots to automate voice and text interactions by using natural language processing and understanding. Moreover, CFront Assistant facilitates Robotic Process Automation initiatives for automating time-consuming and low adding value activities for agents and employees.
Intelligent Virtual Assistants (IVA) extract caller intents and gather information entities to resolve user questions, augment self-service quality, and deliver contextual, personalized, and automated customer experiences across voice and text-based channels.
IVAs allowed the emergence of a new generation of intelligent communications transforming both customer and employee experience and delivering personalized assistance and guidance to customers at scale.
The low code features of CFront Assistant help customers create intelligent bots that augment human service and act as virtual agents in multiple languages. Easily create Virtual Assistants for chat conversations, phone calls or browser-based audio calls, and any other voice or text-based digital medium. If needed, escalate the interaction to a live agent, preserving conversational context while transferring the interaction.
Build automated conversation flows and enrich customer interactions with data from backend systems. Connect CFront Assistant with enterprise systems like CRM, scheduling applications, order and inventory management systems, payment platforms, contact center, etc. The result? Maximize the investment of your application ecosystem, extend and augment its functionality and deliver best of class service for your customers.
Build AI-powered assistants that work side-by-side with human experts to improve customer service effectiveness. Integrate virtual agents to automate routine inquiries, and provide 24×7 human-like customer service. Use collaborative tagging to improve bot accuracy and enhance the bot’s intelligence with continuous feedback.
Analyze your customer text and voice interactions to make data-driven decisions and share insights across your organization. Uncover key call drivers and customer sentiment to help improve call outcomes and turn customers’ data interactions into business intelligence. Use sophisticated machine learning models to extract patterns and information and understand bots’ usage and performance. CFront Assistant provides informed business decisions, identifies channel-specific trends, and assesses unresolved cases to get real-time visualization for important KPIs that impact performance.
The architecture of CFront Assistant ensures compliance with regulatory requirements, enterprise data security, and customer contact policies. Our customers rest easy knowing we use a hierarchical account structure with role-based access control, comprehensive audit trails, and advanced alerting mechanisms.
CFront Assistant provides adapters with the best NLU engines and bundles conversational AI-related resources in a user-friendly interface. CFront Assistant’s flexible multi-vendor architecture allows the selection of the NLU engine that best fits each project’s objectives. Avoid being locked into a single or proprietary NLU provider with a mix and match low code platform, like CFront Assistant.
CFront Assistant integrates business logic into conversation flows using deep neural networks and machine learning technologies. Our virtual agents get smarter and can handle complex interactions through a continuous learning loop that gains insights from many data sources, including unstructured text.