WhatsApp-Based CSAT
Collect feedback where customers already communicate.
AI Customer Experience Intelligence
Pulse combines WhatsApp-based CSAT collection, AI sentiment analysis, voice follow-ups, and operational intelligence into one enterprise customer experience layer.
WhatsApp CSAT
Customer response
AI sentiment layer
Negative sentiment detected
AI suggested action
Voice follow-up
Pulse AI calling customer for experience recovery.
Operational insights
Pulse Intelligence Stack
Pulse connects WhatsApp conversations, ticketing context, SAMWAD messaging, AI sentiment models, orchestration, and Meta infrastructure into one enterprise customer experience intelligence layer.

CX Intelligence Positioning
Traditional CSAT tools stop at ratings and dashboards. Pulse analyzes emotional context, customer frustration, recurring operational issues, escalation signals, and recovery opportunities using AI.
Pulse transforms customer feedback from static surveys into AI-powered operational intelligence across WhatsApp and voice channels.
Collect feedback where customers already communicate.
Understand emotional signals, dissatisfaction patterns, and escalation risk.
Automatically trigger voice follow-ups for critical customer experiences.
Compatible with existing ticketing systems, CRMs, and customer support operations.
Customer Experience Journey
Pulse transforms customer responses into actionable operational intelligence.
WhatsApp CSAT
Customer response
Pulse sends a WhatsApp message asking the customer to rate the recent support experience.
The customer explains that the issue was resolved, but the response was very slow.
Pulse identifies dissatisfaction, frustration, delay concern, and negative emotional tone.
Pulse checks ticket resolution time, previous complaints, support history, SLA delays, and escalation patterns.
WhatsApp or AI voice callback is initiated automatically for experience recovery.
Pulse converts feedback into operational trends, escalation insights, and improvement signals.
Enterprise CX Intelligence
Pulse is designed for enterprises that want customer feedback to become operational intelligence instead of isolated dashboard metrics.
Detects frustration, satisfaction, urgency, escalation risk, and emotional signals.
AI voice workflows for dissatisfied customers and experience recovery.
Collect customer responses directly through WhatsApp.
Identify high-risk customer interactions before churn occurs.
Detect repeated issues across teams, products, workflows, or support operations.
Trigger workflows for callbacks, manager escalation, or priority handling.
AI + Voice Follow-Up Layer
Pulse can automatically initiate AI-powered voice follow-ups for critical customer interactions, helping enterprises recover customer trust before dissatisfaction escalates.
WhatsApp CSAT
Customer response
Compatibility & Deployment
Pulse is designed as an intelligence layer that works alongside existing ticketing platforms, CRMs, and support operations without requiring enterprises to replace their current systems.
Compatible with enterprise ticketing workflows.
Integrates customer context and interaction history.
Enhances existing customer experience teams.
Built on Meta WhatsApp infrastructure for scalable customer engagement.
Go Live Fast
Pulse is designed for rapid enterprise deployment with minimal operational disruption.
Week 1
Week 2
Future-Ready Evolution
Pulse is designed as a customer experience intelligence foundation that can evolve into deeper operational workflows, customer support orchestration, and enterprise ticketing capabilities.
01
02
03
04
05
Layer 01
WhatsApp responses, voice calls, feedback flows, and customer interactions.
Layer 02
Understands emotional tone, escalation risk, urgency, and dissatisfaction.
Layer 03
Adds operational context, ticket history, SLA impact, and workflow patterns.
Layer 04
Triggers WhatsApp or voice workflows based on customer sentiment.
Layer 05
Converts feedback into business intelligence and experience improvement signals.
Enterprise CX Architecture
Pulse combines WhatsApp engagement, AI sentiment analysis, voice recovery workflows, and operational intelligence into one customer experience layer.
Use Cases
Pulse supports customer experience teams where feedback, sentiment, SLA, and recovery workflows need to operate together.
Detect dissatisfaction before customer churn escalates.
Capture patient experience feedback and automate recovery workflows.
Analyze support sentiment and recurring customer frustrations.
Recover poor delivery or support experiences proactively.
Track support quality, escalation risk, and customer frustration patterns.
Improve SLA adherence and customer experience operations.
Human + AI Experience Recovery
Pulse helps customer experience teams prioritize recovery actions using AI-powered sentiment intelligence, escalation detection, and operational context.
Negative feedback
AI sentiment detection
Escalation identified
Voice follow-up initiated
CX manager notified
Customer recovery completed
FAQ
A practical view of Pulse as an enterprise customer experience intelligence layer.
Pulse is an AI-powered customer experience intelligence platform that combines WhatsApp-based CSAT collection, AI sentiment analysis, and voice recovery workflows.
No. Pulse is designed as an AI customer intelligence layer that helps enterprises understand customer sentiment, operational issues, and recovery opportunities.
Yes. Pulse is designed to work alongside existing enterprise ticketing and support systems.
Pulse uses AI to analyze customer sentiment, escalation risk, emotional signals, recurring operational issues, and recovery opportunities.
Yes. Pulse can trigger WhatsApp and AI voice follow-up workflows for dissatisfied customers.
Pulse is designed for enterprise deployment within approximately 2 weeks depending on workflow complexity.
Yes. The architecture is designed to support future expansion into deeper customer support and operational workflows.
Pulse
Use Pulse to understand customer sentiment, automate recovery workflows, and improve enterprise customer experience operations through AI-powered intelligence.
Next workflow
Move from fragmented manual operations to intelligent, automated, AI-driven business systems.
Start with one workflow. Scale into an AI operating layer.