RailTel Corporation of India Ltd has announced that it has secured a major domestic purchase order from The New India Assurance Company Ltd. (NIACL). The order is related to the procurement and deployment of an AI/ML-based solution for monitoring and investigation of fraud, waste and abuse in health insurance claims.

According to the company’s regulatory filing dated 08 May 2026, the total value of the contract stands at approximately Rs 24.91 crore including taxes. The project is expected to be executed by 06 May 2029.

The announcement was made under Regulation 30 of SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015.

Details of the Order

The order has been awarded by The New India Assurance Company Ltd, one of India’s largest public sector general insurance companies. The project aims to strengthen the insurer’s fraud monitoring and claim investigation systems using modern technologies like Artificial Intelligence (AI) and Machine Learning (ML).

The official filing stated that the order involves the procurement of AI/ML-based solutions for monitoring and investigation of fraud, waste and abuse in health insurance claims.

The company also confirmed that:

• The contract is a domestic order
• There is no promoter group interest involved
• The transaction does not fall under related party transactions
• The order was received on 07 May 2026 at 6:01 PM

Importance of AI and ML in Insurance Sector

The insurance industry has increasingly started using AI and ML technologies to improve operational efficiency, reduce fraud and improve customer experience. Health insurance fraud remains a major challenge globally, causing significant financial losses to insurers every year.

With increasing digitisation of healthcare claims, insurers are adopting advanced data analytics tools to:

• Detect suspicious claim patterns
• Identify duplicate claims
• Monitor abnormal hospital billing activities
• Investigate policy misuse
• Reduce fraudulent settlements

The deployment of AI-driven monitoring systems allows insurers to automate large parts of the fraud detection process. This helps in reducing manual intervention while improving accuracy and speed.

The order secured by RailTel indicates that the company is expanding beyond its traditional telecom and railway infrastructure business into advanced digital technology solutions.

How the AI/ML Solution May Work

Although the company has not disclosed technical details of the platform, AI/ML-based insurance fraud systems generally operate using large-scale data analysis and predictive algorithms.

The solution may include:

Claim Pattern Analysis

The system can study historical insurance claims and identify unusual trends or repetitive suspicious activities.

Risk Scoring

AI engines can assign fraud risk scores to claims based on predefined parameters and machine learning models.

Real-Time Monitoring

The technology can continuously monitor incoming claims and flag potentially fraudulent cases for further investigation.

Network Analysis

Advanced analytics can identify hidden relationships between hospitals, policyholders, agents and healthcare providers.

Automated Alerts

The platform can generate instant alerts when suspicious transactions are detected.

These technologies help insurers minimise financial leakages and improve claim settlement quality.

Strategic Importance for RailTel

The latest contract is strategically important for RailTel Corporation of India Ltd because it demonstrates the company’s growing capabilities in the field of:

• Digital transformation
• Artificial intelligence
• Data analytics
• Enterprise technology solutions
• Cyber and monitoring platforms

Traditionally known for its telecom infrastructure and railway communication networks, RailTel has gradually diversified into multiple technology-driven business areas.

Over the last few years, the company has focused on expanding into:

• Government digital projects
• Data centre services
• Cloud solutions
• Cybersecurity services
• Smart city projects
• System integration contracts
• E-governance platforms

Winning a high-value AI-based insurance monitoring project from a leading public sector insurer further strengthens RailTel’s credentials in the enterprise technology segment.

Growing Digital Opportunities in Public Sector

Public sector companies and government-backed organisations in India are increasingly investing in digital transformation projects. Sectors such as:

• Banking
• Insurance
• Railways
• Healthcare
• Defence
• Smart infrastructure

are adopting advanced technologies to improve operational efficiency and reduce costs.

This trend is creating large business opportunities for technology solution providers like RailTel.

The latest order reflects the broader movement towards:

• AI-enabled governance
• Automated compliance systems
• Fraud prevention technologies
• Digital monitoring infrastructure

As organisations handle massive volumes of digital transactions, demand for intelligent monitoring systems is expected to rise significantly in the coming years.

About New India Assurance Company

The New India Assurance Company Ltd is one of India’s leading public sector general insurance companies. The company provides a wide range of insurance products including:

• Health insurance
• Motor insurance
• Property insurance
• Marine insurance
• Travel insurance
• Commercial insurance

Health insurance fraud detection has become an important focus area for insurers due to rising claim volumes and increasing cases of fraudulent medical billing and claim manipulation.

The adoption of AI-based claim investigation systems can help insurers:

• Improve fraud detection rates
• Reduce operational costs
• Enhance claim processing speed
• Strengthen compliance frameworks

RailTel’s Expanding Technology Portfolio

RailTel has emerged as one of India’s important telecom and ICT infrastructure companies. Apart from providing broadband and telecom services for Indian Railways, the company has expanded into various technology businesses.

Its services now include:

• Optical fibre network services
• Internet and broadband services
• Data centre operations
• Managed IT services
• System integration projects
• Video surveillance solutions
• Cloud and cyber solutions

The company’s strong government presence and infrastructure network provide it with significant advantages in securing large public sector technology contracts.

Financial Impact of the Order

The order value of approximately Rs 24.91 crore may contribute positively to RailTel’s order book and future revenue visibility.

Long-duration contracts extending till 2029 generally provide:

• Stable revenue flow
• Better execution visibility
• Long-term client engagement
• Opportunities for future project expansion

Technology and analytics projects also typically offer higher value-added services compared to conventional infrastructure contracts.

Investors often closely monitor order inflows because they indicate future business momentum and execution pipeline.

Market Reaction and Investor Focus

Order win announcements generally attract investor attention because they indicate:

• Business growth opportunities
• Strong client trust
• Revenue visibility
• Sector expansion potential

In RailTel’s case, the AI/ML-based insurance fraud detection order is particularly significant because it highlights the company’s entry into a high-growth technology segment.

Market participants may now watch for:

• Further AI-related contracts
• Expansion into insurance technology services
• Additional digital transformation projects
• Growth in enterprise solutions revenue

The company’s ability to execute advanced technology projects successfully could improve its competitive positioning in the Indian IT infrastructure and digital services market.

Increasing Demand for Fraud Analytics in India

India’s insurance sector is witnessing rapid growth in digital transactions and online claim processing. As a result, fraud prevention has become a critical priority.

Industry experts estimate that fraudulent claims account for substantial losses in the healthcare insurance ecosystem annually.

AI and ML technologies are becoming essential tools because they can:

• Analyse large data volumes quickly
• Detect hidden fraud patterns
• Improve investigation efficiency
• Reduce false positives
• Support faster decision-making

The use of predictive analytics is expected to grow rapidly across financial services and insurance sectors.

Regulatory Compliance and Governance

The disclosure was made in compliance with SEBI regulations related to material events and corporate disclosures.

RailTel confirmed that:

• The contract is not a related party transaction
• No promoter group entities have any interest in the awarding entity
• The order details were disclosed promptly after receipt

Such disclosures are important for maintaining transparency and informing shareholders about significant business developments.

Execution Timeline

The project execution timeline extends up to 06 May 2029, indicating a multi-year engagement.

Long-term technology implementation projects usually involve:

• System design
• Platform deployment
• Data integration
• Testing and validation
• User training
• Ongoing support and maintenance

Successful execution could potentially open doors for additional contracts and technology partnerships in the insurance and financial services sectors.

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