Industry
Insurance
Reinventing the Insurance Industry with a Digital-first Strategy
Highlights
- The P&C insurance industry is facing intense pressure from evolving trends such as climate volatility, AI advancement, embedded insurance, and autonomous and electric vehicles, among others. These trends demand far greater agility, real‑time data integration, and intelligence than legacy policy administration systems (PAS) can support.
- To remain competitive, insurers must modernise PAS into cloud‑ready, composable platforms that facilitate automation, dynamic underwriting, rapid product innovation, and seamless partner integration.
- A modern PAS acts as an adaptive core, allowing insurers to scale efficiently, manage emerging risks proactively, and respond quickly to shifting market and regulatory demands.
Overview
The property and casualty (P&C) insurance industry is grappling with rising loss‑cost inflation, increasing climate‑driven catastrophes, competitive pressures, and evolving regulations. At the same time, P&C insurers have to adapt their operations to emerging trends such as rising AI adoption, increasing climate events, and evolving customer expectations. Legacy core systems of incumbent insurers are unable to provide the agility, connectivity, and intelligence required to adapt to these trends. Consequently, the gap between market demands and what existing legacy systems can support is widening.
To stay competitive, insurers must modernise their policy administration systems (PAS) into integrated, cloud‑ready and data-driven platforms. This shift is vital for insurers to gain the agility required to scale operations and meet modern customer expectations. While some insurers have upgraded their PAS platforms, others are still on their transformation journey, while a few are yet to start.
Trends insurers must prepare for
Given the evolution underway in the insurance industry, insurers must take quick action to proactively adapt to these trends. Emerging insurtech firms and their ability to leverage advanced technologies to deliver superior customer experience is another factor that makes PAS modernisation imperative for P&C insurers. Let us examine these trends and the resultant implications insurers must gear up for.
Internet of things (IoT)-driven insurance is gaining momentum, driving a shift toward the predict-and-prevent paradigm and fundamentally reshaping how risk is assessed and priced. In homeowners insurance, P&C insurers can offer discounted policies to customers deploying smart security and monitoring devices. Real‑time data from smart home devices can significantly improve the accuracy of risk assessment—security systems reveal occupancy patterns and theft risk while sensors like water‑leak detectors and smoke alarms track response times. Lower‑risk behaviours such as consistent occupancy and timely response to alerts can be rewarded. However, this will require insurers to build the capability to process real-time data from IoT devices.
Climate change is driving more frequent and severe natural catastrophes, putting continuous pressure on insurers’ portfolios and operations—losses due to claims associated with hurricanes, wildfires, floods, droughts, and thunderstorms have consistently exceeded USD 100 billion annually in recent years.1 To manage this, insurers must launch new products better suited to changing climate conditions and adopt sustainability-linked insurance models to reward customers for eco-friendly behaviour.
Leading insurers are upgrading their PAS to enable a shift to climate-aware portfolio management. They are factoring in climate risk, climate‑linked endorsements and incentives, product data models, and hazard‑based workflows into their PAS platforms.
AI is revolutionising the entire insurance value chain from underwriting and pricing to servicing and compliance, improving operational efficiencies and customer service. In the medium term, claims processing, fraud detection, and regulatory compliance are other areas that will see transformative AI impact. AI adoption at scale, however, will place new demands on insurers, requiring core systems to evolve to orchestrate AI-driven workflows.
Embedded insurance is steadily expanding into travel, automotive, home, e‑commerce, and gig‑economy segments. It is set to grow exponentially given it can be embedded into platforms with large numbers of users, helping insurers expand customer base and offer contextualised products at the right moment, driving personalisation and engagement. Insurers will need to build an application programming interface (API) framework to connect with external partners and modernise legacy core systems. Some insurance firms have already seized this opportunity:
- A Philippines-based P&C insurer has partnered with a digital wallet provider to offer affordable insurance solutions to users of the wallet, in turn creating a new revenue stream.
- A Japanese fintech company has partnered with a global P&C insurer to introduce embedded insurance products in the buy-now-pay-later space, offering instant coverage in times of need.
Parametric insurance is gaining traction. Coverage for climate volatility, travel disruption, or business interruption is driving growth, requiring insurers to build the capabilities needed to support trigger-based automated payments. Insurance firms are increasingly taking advantage of the parametric opportunity:
- A leading German insurer offers tailored parametric solutions across derivatives and insurance-linked securities, delivering trigger-based payouts for climate, weather, and natural catastrophe events.
- A Europe‑based insurer has partnered with a parametric insurtech to launch flight‑disruption coverage across Southeast Asia, enabling automatic, instant benefits, triggered by delays, without requiring traditional claims.
- A North American weather risk specialist has introduced parametric snow insurance, offering businesses automated payouts for excess or insufficient snowfall, helping manage winter‑related revenue volatility.
- A Europe‑based risk advisory firm launched a parametric insurance policy for UK and Ireland clients, triggering automatic payouts when red weather warnings are issued, covering disruption costs.
Managing general agents (MGAs) bring to the table specialised capabilities, agility, and technology-led operating models. Insurers are partnering with MGAs to foray into new markets cost-effectively, leveraging their ability to underwrite complex and emerging risks and design innovative digital products. What began as an alternative distribution channel is evolving into a strategically embedded extension of carriers’ operating models.
Insurers are enhancing their PAS platforms to support MGA models while specialty carriers are focusing on quickly onboarding MGAs. Mid‑tier and personal lines insurers are building cloud‑native, modular capabilities to gain visibility over capacity and performance and help accelerate the launch of MGAs
Brokers are evolving from distributors to digital advisors. As brokers use digital tools to accelerate turnaround for quotes and proposals, they require instant access to policy data, underwriting guidelines, and risk analytics. Digitalisation is freeing brokers’ time, allowing them to advise clients. For insurers, brokers are rapidly emerging as strategic innovation partners across product innovation, risk management and advisory, and marketing and growth campaigns.
Growing sales of electric vehicles (EVs) and autonomous vehicles (AVs) is introducing new risks around battery health, autonomous driving, software reliability, and sensor data, which differ significantly from traditional risk factors such as engine capacity or driver behaviour. Consequently, vehicle performance is the basis of risk assessment rather than driver behaviour. New mixed-control scenarios where vehicles alternate between human and automated driving coupled with a lack of uniform adoption across geographies, will also impact insurance operations. These shifts will require insurers to manage new risks, liabilities, and coverage needs.
Cyber insurance is rapidly becoming an essential component of corporate risk management, driven by constantly changing threat landscapes, expanding digital assets, and AI-driven vulnerabilities. For insurers, AI is becoming a mixed blessing—even as it enhances their risk mitigation capabilities, it empowers fraudsters to orchestrate more sophisticated attacks. Unlike traditional risks, cyber risks evolve continuously, requiring insurers to introduce new products to accommodate rapidly changing coverage terms, orchestrate cyber-driven workflows, and coordinate closely with external partners.
Insurers are active in this space, offering cyber insurance in niche spaces—a UK based insurer has launched a product designed specifically for digital asset businesses, offering coverage for cyber and financial crime. Similarly, a global specialty insurance and reinsurance group has introduced a cyber insurance solution aimed at businesses across sectors, covering defence, response, and recovery.
Climate volatility, cyber threats, and emerging industries are driving growth in the excess and surplus (E&S) market. Insurers are increasingly foraying into the E&S sector to diversify portfolios, address capacity constraints, and pursue higher‑margin speciality opportunities. Competition from digitally enabled brokers, MGAs, speciality carriers, and insurtech platforms is adding to this mix.
Consequently, the E&S segment is witnessing innovation in niche segments such as natural catastrophe products, parametric structures, digital assets and cyber coverage in technology-driven sectors.
Navigating into the future
To stay relevant and retain market position, P&C insurers must adapt to these trends. Achieving this will require insurers to modernise their PAS into flexible, composable platforms with the ability to ingest real-time data, integrate with external intelligence sources, and support product changes. It will also demand dynamic underwriting workflows, integration of risk scoring models, expansion of product data, and support for multi-party liability requirements. PAS must be upgraded to enable greater configurability, delegated‑authority controls for MGAs, shared‑service platforms for brokers, and streamlined API frameworks for embedded distribution. Automated workflows, event-driven orchestration, and continuous alignment with partner ecosystems are key. The combined impact of these changes is an adaptive core (see Figure 1) with the ability to quickly and accurately support new products, channels, and risk models.
Figure 1: Modern PAS model to adapt to emerging trends
Insurers must adopt a step-by-step PAS modernisation roadmap:
- Build a flexible, modular architecture for safer, faster changes (low-code/no-code configuration, externalised rating and rules engines, modular decision services, cloud-ready DevSecOps and DataOps).
- Build real-time data ingestion and processing capabilities (streaming data pipelines and models to store and process sensor and event attributes from IOT, location, EV/AV, cyber and parametric signals).
- Integrate advanced contextual and external data (geospatial datasets, OEM vehicle feeds, threat-intelligence sources).
- Enable embedded distribution, brokers, MGAs, and E&S programs through open APIs, canonical data models, delegated‑authority controls, dynamic clause libraries, and multi‑party capacity management.
- Ensure dynamic and seamless synchronisation of policy, pricing, and document changes across partner platforms and internal applications to avoid operational gaps.
- Operationalise AI safely across the PAS ecosystem (e.g. explainable ML models, governance, auditability, bias monitoring, human-in-the-loop controls for high-impact decisions).
- Externalise high‑change capabilities and modernise iteratively through a phased approach.
Conclusion
Over the next decade, P&C insurers that build change-proof core platforms will lead. A future-proof PAS must act like a shock absorber: Stable at the core, yet highly adaptable at the edges. Composable capabilities and an API‑first control layer equip the PAS to onboard partners, launch products, and integrate new data sources in response to changing market conditions and regulations.
With event‑driven orchestration and explainable AI, governance is embedded into the platform itself, allowing it to continuously re‑score risk, adjust price, and re-route workflows, without destabilising the system of record. Volatility is absorbed at the edge through externalised rules, clause libraries, and decision services. Real-time interoperability while preserving compliance and control is key.
Quick action is imperative, for insurance firms that follow this path will go beyond insulating themselves against disruption—they will thrive on it by introducing innovative offerings ahead of their peers, turning every change into a competitive advantage.
References
1 NOAA National Centers for Environmental Information (NCEI), U.S. Billion-Dollar Weather and Climate Disasters (2025), https://www.ncei.noaa.gov/access/billions/, DOI: 10.25921/stkw-7w73