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Composable Enterprise

CASE STUDY

UK Rail Organization Established a 24x7 AI-Driven Support Model with Agentforce, Reducing Costs by 40%

Industry

Transportation (Rail)

Our Contributions

Customer Support Transformation, AI Automation, CRM Integration

Location

UK

Technologies

Salesforce Service Cloud, Agentforce AI, AWS, MuleSoft

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Coforge partnered with a leading UK-based rail industry membership organization to modernize its customer support operations through AI-driven automation. The organization required a scalable, always-on support model to handle high volumes of service requests, including refunds, tracking, and customer updates. By implementing an Agentforce-powered automation framework integrated with Salesforce Service Cloud, Coforge enabled a hybrid support model combining self-service, AI-assisted workflows, and agent-led resolution. The transformation improved efficiency, reduced costs, and delivered a consistent, high-quality customer experience across channels.

Transformation Timeline

Phase 1
Customer support assessment and solution design 
Phase 2
Salesforce and Agentforce implementation 
Phase 3
Integration with third-party platforms and automation enablement 
Phase 4
Multichannel rollout and continuous optimization 

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The Challenge

The organization faced increasing demand for 24x7 customer support, with high volumes of service requests requiring timely resolution. Manual case handling led to delays, inconsistent service experiences, and increased operational costs. A fragmented system landscape limited integration between CRM and third-party platforms, resulting in data silos and inefficiencies. Additionally, the lack of real-time visibility into case status and customer interactions hindered decision-making and transparency. The client required a unified, automated support model to improve responsiveness, reduce costs, and enhance customer experience.

Our Approach

AI-Powered Support Automation

Implemented Agentforce AI to automate high-volume customer service scenarios such as case creation, tracking, refunds, and notifications.


Salesforce Service Cloud Enablement

Deployed Salesforce Service Cloud integrated with contact center capabilities to streamline case management and improve agent productivity.

Hybrid Support Operating Model

Established a combination of self-service, AI-assisted workflows, and agent-led resolution to optimize efficiency and scalability.

 

 

Enterprise Integration Framework

Integrated Salesforce with third-party platforms, including AWS (digital railcards) and MuleSoft (plastic railcards), enabling real-time data exchange.

Multichannel Customer Engagement

Enabled support across email, web, and phone channels, with mobile-enabled access to improve reach and service consistency.

Partner / Technology Ecosystem

  • Salesforce Service Cloud

  • Agentforce AI

  • AWS

  • MuleSoft

Impact to Date

-40%

Reduction in Operational Costs

+35%

Faster Case Resolution

+25%

Improvement in Agent Productivity

+30%

Improvement in Data Quality & Accuracy

Business Impact

 

  • Delivered 24x7 customer support through scalable AI-driven automation

  • Reduced manual workload and operational costs with intelligent workflows

  • Improved customer experience with faster and more consistent responses

  • Enhanced data accuracy and visibility for better decision-making

  • Enabled a future-ready, multichannel support ecosystem

 

Coforge enabled the client to shift from reactive, manual customer support to an AI-driven, always-on service model powered by Salesforce Service Cloud and Agentforce AI. By combining intelligent automation, seamless integrations, and a hybrid support approach, the organization achieved faster resolutions, lower costs, and a consistently high-quality customer experience.

With a scalable, multichannel support ecosystem in place, the client is now equipped to handle growing service demand, improve operational efficiency, and deliver smarter, more responsive customer engagement at scale.