How UK Rail Operators Automated 70%+ of Delay Repay Claims

AI powered customer support system for e-commerce
Client

Client

A UK Software As A Service (SaaS) Provider

Service Provider

Service Provider

Divyal Technologies Pvt Ltd

Platform

Platform

Enterprise Delay Repay Automation Platform

Engagement Model

Engagement Model

End-To-End Development, Operations & Support

ClientOverview

Our client, a UK-based SaaS provider, recognized a critical inefficiency in how Train Operating Companies (TOCs) managed 'Delay Repay' claims. By developing and deploying a bespoke automation application, we transformed a labor-intensive, manual verification process into a high-speed, accurate digital workflow, significantly reducing processing costs and enhancing the passenger experience.

Project Challenges

The Challenge

Before the platform was introduced, Delay Repay processing relied heavily on manual effort and fragmented systems. Claims moved across multiple tools and operational teams, with each stage requiring separate checks against ticketing data, journey records, delay thresholds, and payment rules.

This made it difficult for rail operators to respond quickly during disruption events, maintain consistent decision-making, and scale operations without significantly increasing cost and operational risk.

Key challenge:

  • More than eight stages of claim validation
  • Complex ticket, journey, and delay verification across multiple data sources
  • Sudden spikes in claim volumes during disruption events
  • High manual effort to prevent fraud and duplicate claims
  • Support for multiple payout mechanisms
  • Strict regulatory, audit, and reporting requirements

Impact

Under normal operating conditions, this resulted in high processing costs and slow turnaround times. During large-scale disruption events, the same model created operational bottlenecks, delayed compensation outcomes, and increased risk around compliance and consistency.

TheSolution

Divyal technologies was selected based on its ability to deliver a scalable, automation-first platform while maintaining transparency, regularity compliance, and operational control.The focus was not only on building the system,but on operating and supporting it long term

Our Software Development Approach

Divyal designed a modular, cloud-native Delay Repay platform that combines automation with structured operational oversight. The solution was intentionally built to remain stable during traffic spikes and flexible enough to support operator-specific policies.

Key Components:

  • Customer Claim Portal

    Digital claim submission, document upload, claim status tracking, and refund preference selection.

  • Operations & Back-Office Portal

    Structured workflows for claim handling, exception management, and audit reporting.

  • RQMS (Queue-Based Automation Engine)

    Automated validation and intelligent routing between automated and manual processing.

  • Delay Calculator API

    Accurate eligibility and compensation calculation based on operator-specific delay repay rules.

AI powered customer support system for e-commerce

Implementation

The platform was rolled out incrementally in 2016, allowing automation rules to be introduced and optimized over time.

Divyal worked closely with operator teams to align workflows, validate rules, and ensure operational transparency.

The Result

The deployment of automated application delivered immediate and measurable impact.

Key Components:

  • Processing speed

    Reduced the average claims processing time from 5 days to under 2 minutes to automated approval

  • Operational Efficiency

    Achieved a 70% automation rate, allowing human agents to focus solely on complex appeals and high-value inquiries.

  • Cost Reduction

    Decreased the administrative cost per claim by approximately 60%

  • Improved Accuracy

    Eliminated human error in compensation calculations, ensuring passengers received the exact amount owed according to industry regulations.

AI powered customer support system for e-commerce

Business Outcome & Next Steps

This case study demonstrates how Divyal Technologies helped rail operators transform Delay Repay from a fragmented, manual process into a scalable, resilient operational platform. By combining automation, clear workflows, and ongoing operational support, operators were able to reduce cost, improve reliability, and maintain regulatory confidence, even during peak disruption periods.

If your organisation is managing high-volume, regulation-driven operational processes and struggling to scale during peak demand, Divyal Technologies can help.

More CaseStudies

Blockchain supply chain management

Modernizing large-scale event operations through an end-to-end management platform

Divyal Technologies delivered a scalable event operations platform that transforms how large public events in the UK are managed. By replacing spreadsheets, email approvals, and disconnected workflows with a single, unified system, the platform streamlines staff deployment, on-field execution, and post-event reconciliation, helping event teams operate efficiently, reduce costs, and deliver flawless events.

Read full case study
AI predictive maintenance in manufacturing

Automated Admissions Lead Management for an EdTech Platform

Divyal Technologies delivered and continues to operate a scalable, AI-enabled lead management platform that strengthened the client’s core product. The platform enables the client to efficiently handle high volumes of student inquiries, automate lead qualification and personalized engagement, reduce operational effort, and provide real-time visibility into admissions performance across multiple institutions.

Read full case study