Let customers get answers to questions quickly by efficiently managing webchat conversations with AI and automation
DebtChat empowers you to help customers manage their debt
Designed with a custom trained language model to skillfully manage debt conversations
Blending automation and agents with 75%+ automated conversations and only bring agents in when needed
Complete conversations swiftly by giving trained answers to specific questions
Custom built for
maximum recovery and
great customer experiences
Webio's in-depth knowledge and expertise around credit and collections went into building DebtChat's specialised language model that empowers AI agents to skillfully manage debt conversations.
Fine-tuning AI and automation for credit and collections is at the heart of what we do
Packed with AI and Automation
DebtChat goes beyond being a mere online webchat application by offering a comprehensive range of AI and automation capabilities that power every Webio channel.
Propensity Guidance AI predicts customer conversation outcomes and recommends the next-best course of action based on text, preferences and conversation history.
Intent Recognition: Identify the intention of customer messages by analysing the language used to determine what they want to do or find out.
Entity Gathering: Natural Language Processing techniques used to identify and extract meaningful information (entities) from within a conversation, such as dates, post codes and amounts.
Handle larger conversation volumes with conversational AI
Improve processes with AI and automation and respond to a large volume of messages quickly and accurately.
Transform interactions from basic decision-tree style auto-agents into a valuable and engaging two-way conversation that feels authentic and natural.
Natural Language Processing and Machine Learning train AI agents to adeptly engage with customers about their debt. DebtChat easily answers FAQs and queries, such as account balances, amounts owed, payment dates, etc. and by taking care of repetitive tasks like ID&V it takes the burden off agents and frees them to handle more complex issues.
