CX Intelligence Hub

AI Agents Purpose-Built for Customer Experience

Our GenAI-powered agent systems are designed to understand, act, and optimize accross the entire CX lifecycle. These intelligent agents combine real-time data, natural language interaction, and automation to deliver insights and outcomes at scale
Automated data integration
GenAI Agent to Query data
AI enabled infrastructure
Interactive visualization With AI Agent
AI- powered personalized
Agentic AI process automation

Auto-detect key issues and trigger personalized communication

DATA SOURCES

ACTIVATION

Unified customer view

Connect digital, offline, product and other live data sources for real-time 360 unified customer view

AI Automation

Detected drop in usage

Predicted churn

Personalized intervention

AI algorithms detects key customer issues and trigger personalized intervention
Customer engagement
Product issues
Orders and product portfolio
Sensor Data
Customer Usage
Personalized text
Personalized email
Outbound call
API call
Chat Bot

GenAI Agents Engineered for End-to-End Customer Experience

Our GenAI-powered agent framework is built to sense, respond, and automate across every stage of the customer journey. These intelligent systems integrate seamlessly with your data, delivering actionable insights and driving personalized, automated CX at scale.

  • Automated Data Integration - Seamlessly connects and harmonizes data from CRMs, surveys, support logs, and other sources to ensure GenAI agents operate on unified, real-time customer data.

  • GenAI Agent to Query Data - Empowers business users to ask questions in natural language and instantly receive actionable insights without writing code or SQL.

  • AI Enabled Infrastructure - Built on scalable, cloud-native architecture optimized for AI workloads, ensuring fast, secure, and reliable performance across the CX stack.

  • Interactive Visualizations with AI Agent - Transforms queries into dynamic charts, dashboards, and narratives that adapt in real time for intuitive data exploration.

  • AI-Powered Personalization - Delivers tailored content, messaging, and experiences using real-time customer behavior and machine learning models.

  • Agentic AI Process Automation - Orchestrates end-to-end workflows autonomously, enabling intelligent task execution and decision-making across systems.

Data Integration & Reporting

  • Centralized Data Warehouse & Integration: Build a cloud-based data warehouse to store CX data from multiple touchpoints, using ETL tools for multi-channel integration and real-time data pipelines to enable AI-driven insights and actions .

  • BI Reporting and Visualization Layer: Develop interactive reports, set up automated, scheduled reports delivered to stakeholders, incorporate AI-driven insights and recommendations

  • AI-Powered Analytics Engine: Build AI models to predict customer behavior, auto-detect key issues and trigger personalized communication to optimize CX strategies in real-time

  • Real-Time Actionable Alerts: Implement real-time monitoring to track customer interactions, complaints, and support tickets; set up AI-driven alerts to notify relevant teams of key events

Increase Engagement

A CX Intelligence Hub empowers organizations to enhance customer engagement by:

  • Personalizing communications: Delivering tailored messages that align with customer preferences, product usage patterns, and past interactions.

  • Identifying engagement opportunities: Recognizing optimal moments for interaction, such as when customers are most receptive or when product issues arise.

  • Measuring engagement metrics: Monitoring key performance indicators to evaluate the impact and success of engagement strategies.

Optimize Onboarding

A CX Intelligence Hub is essential for optimizing the onboarding process for new customers. By analyzing customer data and behavior, the platform can:

  • Identify pain points: Pinpoint areas where customers may struggle, such as during product setup or initial use.

  • Enhance onboarding efficiency: Streamline the process, minimizing time and effort for both customers and the business.

  • Personalize the onboarding experience: Customize onboarding steps and communication to meet each customer’s unique needs and preferences.

Reduce Churn

A CX Intelligence Hub is a centralized platform that gathers, analyzes, and interprets customer experience metrics, support history, and product usage data to identify churn risks and enhance customer retention. By leveraging advanced analytics and machine learning, the hub can:

  • Predict churn: Detect customers at risk of leaving before they disengage.

  • Uncover churn drivers: Pinpoint the root causes of customer dissatisfaction and disconnection.

  • Proactively resolve issues: Implement targeted, data-driven interventions to retain customers and strengthen loyalty.

Customer Journey Analytics

By leveraging AI and data visualization, A CX Intelligence Hub can:

  • Map the full customer journey: Monitor interactions from the first engagement through to ongoing support, capturing the complete customer lifecycle.

  • Visualize journey insights: Identify drop-off points, key interaction drivers, and friction areas to optimize the customer experience.

  • Predict optimal paths: Use AI to forecast the best routes for different customer segments and uncover high-value moments throughout the journey.