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AI & Automation
Verint Intelligent Virtual Assistant
Verint Intelligent Virtual Assistant logo
AI & Automation

Verint Intelligent Virtual Assistant

Verint Intelligent Virtual Assistant is an enterprise-grade conversational AI platform designed to automate customer service interactions across digital channels. It leverages natural language processing (NLP) and machine learning to understand customer intent, provide accurate responses, and handle routine inquiries without human intervention. The platform integrates with existing contact center systems, CRM platforms, and knowledge bases to deliver contextual assistance. It's used by large organizations in banking, telecommunications, retail, and healthcare to reduce operational costs, improve customer satisfaction, and provide 24/7 support. The solution focuses on understanding complex customer queries, maintaining conversation context, and seamlessly escalating to human agents when needed. It supports omnichannel deployment including web chat, mobile apps, messaging platforms, and voice interfaces. Verint emphasizes enterprise security, compliance, and scalability for global deployments with thousands of concurrent conversations.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈150K-200K visits/month to verint.com (public web traffic estimate, Q4 2024)
Engagement
0🔥
0👁️
Categories
AI & Automation
Agents & Bots

Key Features

Contextual Conversation Management

Maintains conversation context across multiple turns, remembering user details, previous questions, and interaction history to provide coherent, personalized responses.

Omnichannel Deployment

Deploys the same virtual assistant across web chat, mobile apps, messaging platforms (WhatsApp, Facebook Messenger), SMS, and voice interfaces with consistent behavior.

Seamless Human Handoff

Automatically escalates complex queries to human agents with full conversation history and context transferred to the agent's desktop application.

Enterprise Integration Framework

Pre-built connectors and APIs for integrating with CRM systems (Salesforce, Microsoft Dynamics), contact center platforms, knowledge bases, and backend business systems.

Continuous Learning Engine

Automatically analyzes conversation logs, identifies gaps in knowledge, and suggests improvements to conversation flows and responses based on actual customer interactions.

Advanced Analytics Dashboard

Comprehensive reporting on conversation metrics, customer satisfaction, deflection rates, cost savings, and agent performance with customizable dashboards.

Pricing

Enterprise Standard

contact sales
  • ✓Basic virtual assistant capabilities
  • ✓Web chat integration
  • ✓Standard NLP models
  • ✓Basic analytics dashboard
  • ✓Email support during business hours
  • ✓Up to 5 predefined integration connectors

Enterprise Premium

contact sales
  • ✓Advanced virtual assistant with machine learning capabilities
  • ✓Omnichannel deployment (web, mobile, messaging, voice)
  • ✓Advanced NLP with custom model training
  • ✓Comprehensive analytics and reporting
  • ✓24/7 premium support with SLAs
  • ✓Unlimited integration connectors
  • ✓Dedicated success manager
  • ✓Advanced security and compliance features

Enterprise Custom

contact sales
  • ✓Fully customized deployment
  • ✓On-premises or private cloud options
  • ✓Custom AI model development
  • ✓Enterprise-grade security certifications
  • ✓Dedicated engineering resources
  • ✓Custom integration development
  • ✓Industry-specific compliance (HIPAA, PCI DSS, etc.)
  • ✓Global deployment support

Traffic & Awareness

Monthly Visits
≈150K-200K visits/month to verint.com (public web traffic estimate, Q4 2024)
Global Rank
##45,283 global rank by traffic, Similarweb estimate
Bounce Rate
≈42% (Similarweb estimate, Q4 2024)
Avg. Duration
≈00:03:45 per visit, Similarweb estimate, Q4 2024

Use Cases

1

Banking Customer Service Automation

Banks use Verint Intelligent Virtual Assistant to handle routine banking inquiries such as account balances, transaction history, branch locations, and basic troubleshooting. The assistant integrates with core banking systems to provide secure, real-time information while maintaining compliance with financial regulations. This reduces call center volume by 30-40% while providing 24/7 service availability for common customer requests.

2

Telecommunications Technical Support

Telecom providers deploy the virtual assistant to troubleshoot common technical issues like internet connectivity problems, billing inquiries, and service upgrades. The assistant can guide customers through step-by-step troubleshooting, check service status in real-time, and schedule technician appointments. This significantly reduces average handle time and improves first-contact resolution rates for routine technical issues.

3

Retail E-commerce Customer Support

Retailers implement the assistant on their e-commerce websites to help customers with order tracking, returns, product information, and inventory availability. By integrating with order management and inventory systems, the assistant provides accurate, real-time information without human intervention. This enhances the shopping experience while reducing customer service costs during peak shopping periods.

4

Healthcare Patient Engagement

Healthcare organizations use the virtual assistant to handle appointment scheduling, prescription refills, insurance questions, and basic medical information. With proper compliance controls, the assistant can access patient records securely and provide personalized responses. This improves patient access to care while reducing administrative burden on healthcare staff.

5

Insurance Claims Processing Assistance

Insurance companies deploy the assistant to guide customers through the claims process, answer policy questions, and provide status updates on existing claims. The assistant can collect initial claim information, upload documents, and route complex cases to appropriate adjusters. This accelerates claims processing while maintaining consistent customer communication throughout the claims journey.

How to Use

  1. Step 1: Contact Verint sales to initiate the enterprise procurement process, which typically involves discovery calls, needs assessment, and solution demonstration.
  2. Step 2: Work with Verint professional services team to define use cases, conversation flows, and integration requirements with existing systems like CRM, knowledge bases, and contact center platforms.
  3. Step 3: Configure the virtual assistant through Verint's administration console, setting up intents, entities, dialog flows, and response templates based on your business requirements.
  4. Step 4: Integrate the virtual assistant with your digital channels (website, mobile app, messaging platforms) using provided SDKs, APIs, or pre-built connectors for popular platforms.
  5. Step 5: Train the NLP models using your historical customer interaction data, product documentation, and knowledge base content to improve accuracy and contextual understanding.
  6. Step 6: Deploy the virtual assistant in a testing environment, conduct user acceptance testing with sample conversations, and refine responses based on performance metrics.
  7. Step 7: Launch the virtual assistant to production, monitor performance through Verint's analytics dashboard, and continuously optimize based on conversation logs and customer feedback.
  8. Step 8: Establish ongoing maintenance processes including regular model retraining, content updates, and expansion to new use cases based on business needs.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
Visit Website