Infosys BPM empowers global insurers with AI-driven transformation and end-to-end outsourcing solutions. It is a specialist insurance operations partner with deep domain expertise across life & annuity, retirement/pensions, property & casualty, group benefits, and reinsurance. It delivers end to end services—from new businesses and underwriting support to policy administration, claims, finance, compliance, and customer service—reducing transition risk and accelerating value. With a scalable global delivery model, flexible commercial constructs, strong platform and ecosystem integrations, and proven credentials with large, complex insurers, Infosys BPM goes beyond traditional outsourcing to enable sustainable cost efficiency, resilience, and digital modernization at scale.
Infosys BPM is not just an outsourcing partner, but a transformation led insurance operations specialist that helps insurers reduce costs, manage risk, and modernize operations at scale.
Infosys BPM runs a dedicated Insurance BPM practice covering life & annuity, retirement/pensions, P&C, group benefits, and reinsurance, with end to end ownership across the insurance value chain—from new business and underwriting support to policy administration, claims, finance, compliance, and customer service.
We augment your underwriting function with submission triage, data enrichment, risk scoring, and analytics — enabling your onshore underwriters to focus on pricing judgments and broker engagement while we manage the operational layer at scale.
From first notice of loss through settlement, Infosys BPM manages the full claims lifecycle — combining AI-powered document extraction, fraud detection analytics, and exception management to accelerate settlements and reduce leakage across P&C, life, and specialty lines.
We handle end-to-end policy administration across endorsement processing, billing, renewals, and documentation — with straight-through processing automation reducing manual intervention and improving accuracy across your book of business.
Our reinsurance operations support covers treaty and facultative processing, bordereau management, and reconciliation — integrated with finance and accounting operations to provide a unified view of your operational and financial performance.
Insurance industry has seen a significant shift from traditional operating models to AI and Agentic AI enabled reimaged business operations. Infosys BPM embeds artificial intelligence and intelligent automation at every stage of the insurance value chain — from AI-assisted underwriting and claims document extraction to predictive fraud detection and automated policy servicing. Our proprietary AI Next platform moves enterprises beyond isolated automation and GenAI pilots into agentic, autonomous AI ecosystems embedded at the core of operations, decisions, and customer engagement. Built on a unified data foundation, multi-agent workflows, AI-led process transformation, and human-in-the-loop governance, it delivers touchless processing, real-time decisioning, and productivity gains with measurable ROI.
Our insurance digital transformation approach is built around your existing technology stack — not a rip-and-replace model. Whether you operate on legacy core systems or modern platforms, Infosys BPM integrates automation and analytics layers that deliver immediate efficiency gains while your broader transformation roadmap matures. Every implementation is governed by SLA-backed performance commitments from day one.
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Senior operations leaders typically prioritise functions that are high-volume, rules-driven, and operationally intensive — underwriting support, claims lifecycle management, policy administration, and regulatory reporting — where a specialist insurance business process management partner can deliver both scale and accuracy without expanding fixed internal headcount. The strongest ROI cases are found where process standardisation and automation can be applied simultaneously, compressing unit costs while improving throughput and compliance adherence.
Insurers that modernize core systems through digital transformation typically reduce operational costs significantly in the first year, with AI-powered underwriting and automation accelerating product development cycles and improving risk pricing accuracy. Magistral Infosys BPM's insurance digital transformation services are structured around an integration-first model — automation and AI capabilities are layered onto existing workflows and core systems, so transformation delivers measurable outcomes from day one without service interruption or the risks associated with full platform replacement.
Compliance in an outsourced insurance service model is a shared, SLA-governed accountability — not a client-side burden. A specialist partner with a dedicated regulatory monitoring function tracks jurisdiction-specific changes across data privacy, reporting obligations, and audit requirements in real time, ensuring your operations remain audit-ready without expanding your internal compliance or legal teams. This is particularly critical for global insurers managing simultaneous obligations across US, UK, and EU regulatory frameworks.
A recurring challenge for insurance executives is knowing where to start — tactical, siloed approaches deliver incremental improvements but rarely add up to cohesive transformation without an integrated strategy underpinned by a robust business, technology, and data assessment. Persistence Market Research Effective insurance consulting services begin with a structured process diagnostic that maps current-state workflows, identifies automation opportunities, and sequences transformation around operational risk tolerance — ensuring that AI and intelligent automation are applied where they deliver the greatest business impact, not where they are easiest to deploy.
Operational surge capacity is one of the most critical — and most frequently underweighted — evaluation criteria when selecting an insurance service partner. A Global Delivery Model spanning multiple time zones provides on-demand capacity that scales with claim volumes or policy processing peaks without the lead time constraints of internal hiring cycles. Critically, surge capacity must operate under the same governance, quality, and SLA framework as steady-state delivery — performance during high-pressure periods is where the real value of a BPO partnership is either proven or lost.
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