Conversational AI and Automation
Leverage Fast, Accurate, and Efficient
Communication with Enterprise Automation
A day in typical enterprise comprised of interaction between one or more key stakeholders: customer, employees, vendors and others which drive overall customer experience.
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Only 25% of interaction are high value or strategic, that means majority of interactions are repetitive and perfect candidate for automation.
Only 25% of interaction are high value or strategic, that means majority of interactions are repetitive and perfect candidate for automation.
Understanding Routine Business Challenges
In a hyper-digital world, organizations find it difficult to efficiently manage the explosion of interaction across voice and digital channels. On top of that, ensuring an optimal experience while preserving the current tech stack and minimizing operations costs is a big hurdle.
Technology solutions with limitations hardly understand customer context and respond automatically.
- Higher Resolution Time
- Insufficient Automation Infrastructure
- Lack of Scalability
- Growing Customer Requirement
- Manual Intervention
- Agent’s Strain
How do Conversational AI and Automation
Together enable Hyperautomation for business?
The basic idea of automation is to limit manual intervention. But using Conversational AI add up decision making in the repetitive processes to fast-track resolution. Conversational AI consists of three technological developments: First, Natural Language Processing (NLP) analyses the natural human language and speech, interprets contextual nuances, and extracts relevant information. Second, AI uses the collected data to predict communication patterns. Lastly, Machine Learning (ML) allows AI-based systems to learn and improve over time with each interaction.
Conversational AI combined with automation provides a personalized and differentiated experience where each interaction is 1:1 and context-aware, based on previous interactions.
More than 60% of all customer service engagement will be delivered via digital or self-service by 2023
AutomationEdge’s Conversational AI and Automation Use Cases
Personalization
Provides personalized solutions, content, products, or services in real-time based on conversational insights.
LMS and Knowledge base
Provides data insights to create customized content for service recommendations to employees.
Sentiment Analysis
Identities, extracts, and classifies emotions across various channels to come up with the best-suited solution.
Prioritize Leads
Calculates and analyzes the user’s likelihood to get converted, notifying and enabling sales to segregate these leads in the funnel.
Elevated conversations
Ensures smooth, hassle-free, and natural conversation or chat through machines with users without any crutches, pauses, and fillers.
