Deliver measurable outcomes with digital and AI-led transformation
We enable insurers to improve profitability, optimize costs, and enhance customer experience by modernizing core systems, embedding AI into operations, and transforming underwriting, claims, and customer journeys.
Birlasoft Named as Star Performer and Major Contender in Everest Group’s Banking IT Services PEAK Matrix® Assessment 2025.
Transform Your Insurance Core Platforms With Birlasoft’s Guidewire Capabilities
Intelligent Document Intake Solution Powered by GenAI
Pioneering the next frontier: embracing GenAI for insurance claims
Struggling With Regulatory Circulars Intake and Processing?
Automate monitoring, intake, interpreting, and decisioning regulatory circulars
17 Disruptive AI and Machine Learning Use Cases in Insurance World
Explore top use cases of AI and ML in the insurance industry.
The insurance industry is undergoing a structural shift—driven by rising customer expectations, operational inefficiencies, and the need to modernize legacy core systems. Insurers are moving beyond incremental digitization to embrace AI-led, data-driven transformation across underwriting, claims, and customer engagement.
At Birlasoft, we partner with insurers to accelerate this transformation by combining deep domain expertise with platform-led engineering. We modernize core systems, embed AI and Generative AI into decision workflows, and streamline operations through intelligent automation—enabling faster underwriting, improved claims outcomes, and seamless, personalized customer experiences.
Reimagine Insurance with Digital, Data, and AI.
Our Core Principles to Unlocking Digital Transformation in Insurance
Services
- Application and Infrastructure
Service - ERP
Partnerships
Explore the future of insurance with Birlasoft!
Talk to our insurance industry experts and digital specialists and get all your questions answered in a personalized demo tour.
FAQs
Digital transformation in the property and casualty (P&C) insurance sector involves integrating digital technologies to improves operational efficiency, enhances customer experiences, and streamlines processes. It enables insurers to leverage technologies like AI, big data, and cloud computing to automate tasks, analyze data, and provide better services
Birlasoft has solved multiple business problems across the insurance value chain:
- Submission automation, intelligent document intake; enhance underwriting efficiency, accurate risk assessment, prioritize underwriter bandwidth
- FNOL
- Smart reporting
- Circulars management (ISO, NCCI, NAIC, AAIS)
- Market and competition insights
- Renewal processing
- Loss Runs (helps in risk assessment)
- Guidewire policy center, GWPC, Guidewire PolicyCenter, PolicyCenter
- Duck Creek
- Insurity
- Policy Decision
- Guidewire Claimcenter, ClaimCenter, GWCC
- Duck Creek
- Insurity
- Claims Decision
Digital channels, such as mobile apps, enhance customer experience by providing policy self-service, FNOL (First Notice of Loss), real-time claim status, renewals, post-policy issuance transactions, and other policy service requests. These channels offer convenience, speed, and accessibility, improving overall customer satisfaction.
Cloud computing offers scalability, cost reduction, and enhanced collaboration across departments and locations. It allows insurance companies to store and process data securely, access applications remotely, and improve overall operational efficiency.
AI and ML enhance insurance operations by automating routine tasks, improving risk assessment, and streamlining claims processing. Birlasoft has extensive experience working with insurance companies globally, implementing AI and ML to automate tasks like renewal processing and delinquency, streamline claims processing from FNOL to settlement, and improve risk assessment and underwriting efficiency. This leads to increased efficiency and better customer service.
Data analytics helps insurance companies gain insights into customer behaviour, predict risks, and tailor insurance products. By leveraging big data and advanced analytics, insurers can make more informed decisions, improve pricing accuracy, and enhance risk management