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Coforge: Where AI engineering meets industry expertise.
Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.
Learn more about Coforge
Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.
Learn more about Coforge
Main
Coforge: Where AI engineering meets industry expertise.
Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.
Learn more about Coforge
Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.
Learn more about Coforge

OmniPulse is Coforge’s Salesforce-native, AI-enabled zero-touch contact center solution designed to modernize customer service by combining intelligent automation, proactive communication, seamless self-service, and contextual human support into one connected experience.
Powered by Agentforce, Data 360, and Einstein AI, the solution brings together customer data, AI agents, workflows, knowledge, messaging, and service channels into a unified operating model. It enables organizations to automate routine customer interactions, proactively manage service events, trigger contextual zero-touch updates, and equip service teams with complete customer context to resolve issues faster.
Designed for enterprises managing large volumes of customer inquiries across digital and voice channels, OmniPulse supports customer service, contact center, operations, and customer experience functions. By shifting routine interactions to AI-driven self-service and reserving human intervention for complex situations, organizations can improve service efficiency, enhance customer experience, and scale support operations without proportional increases in effort.
High Volumes of Repetitive Customer Inquiries
Routine service requests, status checks, refunds, and support inquiries consume significant contact center capacity and increase operating costs.
Fragmented Customer and Operational Data
Customer information and service history are often spread across multiple systems, making it difficult to deliver informed and efficient support.
Slow Response to Service Disruptions
Organizations struggle to identify and address service-impacting events quickly, leading to increased customer contacts, delayed resolutions, and missed opportunities to send proactive zero-touch updates before customers reach out.
Manual and Disconnected Processes
Handling refunds, disputes, assistance requests, and exception scenarios often requires multiple systems and manual intervention.
Inconsistent Omnichannel Experiences
Customers expect a connected experience across web, chat, messaging, and voice channels without having to repeat information.
Limited Agent Productivity and Visibility
Service representatives spend excessive time gathering context and navigating systems instead of focusing on resolution.
Scaling Support Without Increasing Headcount
Organizations need to deliver always-on support while controlling operational costs and maintaining service quality.
What it does: Enables customers to interact using natural language across digital and voice channels. AI agents understand intent, verify identity, access customer information, and resolve routine service requests without agent involvement.
How it helps: Reduces inbound contact volumes while providing faster and more consistent customer support.
What it does: Brings together customer, operational, and external system data through Salesforce Data 360 to create a single customer view.
How it helps: Provides complete context for both AI agents and service representatives, improving accuracy and decision-making.
What it does: Transfers conversation history, case summaries, customer intent, and context from AI agents directly to service representatives.
How it helps: Eliminates repetitive customer explanations and enables agents to focus immediately on resolution.
What it does: Detects customer-impacting events and automatically triggers notifications, status updates, next-best actions, and zero-touch messaging across preferred channels.
How it helps: Reduces inbound contacts, improves transparency, and allows issues to be addressed or communicated before customers seek support.
What it does: Uses AI-driven case evaluation, workflow orchestration, approvals, and integrations to automate service processes and resolution activities.
How it helps: Accelerates handling times, reduces manual effort, and ensures consistent execution of service policies.
What it does: Provides connected customer interactions across web, chat, messaging platforms, and voice channels within a unified service environment, including automated outbound messages for alerts, reminders, confirmations, and service updates.
How it helps: Delivers a consistent customer experience across channels while maintaining complete interaction history and reducing the need for customers to initiate follow-ups.
What it does: Generates case summaries, identifies customer intent, analyzes root causes, recommends next actions, and surfaces relevant knowledge.
How it helps: Improves agent productivity, shortens handling times, and increases resolution quality.
What it does: Combines enterprise knowledge, customer context, business policies, and integrated systems to support intelligent decision-making and action execution.
How it helps: Ensures service interactions remain accurate, consistent, and aligned with organizational processes.
What it does: Provides case insights, performance visibility, customer feedback tracking, and operational reporting.
How it helps: Enables continuous improvement of customer service operations and better management decision-making.
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