Real-Time Data for Insurance: How Publicis Sapient, ICE and Speed Layer Unlock Operational Agility
Insurance leaders know the symptom: a customer updates their details in one system, a claims handler cannot see it in another, underwriting works from stale information, and product teams struggle to spot emerging opportunities quickly enough to act. The problem is not just old technology. It is the disconnect between policy, claims, underwriting and experience systems that keeps critical data trapped in silos and slows the business at exactly the moments when speed matters most.
Modern insurers need an operating model built for constant change. That means data that moves when the business moves, platforms that can adapt without large-scale disruption, and AI-driven intelligence that can be embedded directly into workflows. By combining Publicis Sapient’s transformation expertise and Speed Layer with ICE’s modular, configurable insurance software and product configuration console, insurers can create a more connected foundation for growth, resilience and customer-centricity.
The architecture problem behind slow insurance operations
Across insurance, many of the biggest operational frustrations can be traced back to fragmented technology estates. Core systems for policy administration, claims and underwriting often evolved at different times, serve different business units and store data in different formats. As a result, teams spend too much time reconciling information, rekeying data, chasing updates or working around incomplete views of the customer.
Those constraints show up everywhere:
- Quoting journeys slow down because key customer or risk data is not readily accessible
- Service teams cannot always respond with confidence because they lack a current, unified view of the customer
- Claims processes become more manual and inconsistent when information is spread across disconnected systems
- Product teams struggle to refine, launch or localize offerings quickly because feedback loops are delayed
- Leaders cannot act in real time when market conditions, fraud patterns or regulatory requirements change
In a market shaped by rising customer expectations, cost pressure and regulatory complexity, delayed access to trusted data becomes a strategic weakness.
Why decoupling data matters
For many insurers, full core replacement is not the only immediate answer. A more pragmatic path is to decouple data from legacy environments so it can be accessed, activated and governed in near real time across the enterprise. This creates a more flexible architecture without requiring every legacy dependency to be removed at once.
Publicis Sapient’s Speed Layer is built around this principle: getting the right data to the right place in real time. By decoupling data from legacy systems, insurers can make operational and customer information available to digital services, analytics environments and AI-powered tools without waiting for batch updates or complex point-to-point integrations.
That shift changes what is possible. Instead of treating data as something locked inside back-end systems, insurers can use it as a live enterprise asset that supports decisions and actions across the value chain.
From fragmented systems to an always-on operating model
When data flows more freely, insurers can move from reactive processes to a more responsive operating model. ICE’s modular cloud-based software for policy and claims provides the flexibility to deploy the capabilities insurers need, when they need them. Its product configuration console adds real-time insight and AI-powered support to simplify product creation and streamline operations.
Combined with Publicis Sapient’s SPEED framework and AWS-based accelerator on the ICE platform, this creates a strong foundation for operational agility:
- **Strategy** aligns modernization to business priorities, not just technology upgrades
- **Product** helps insurers launch and refine offerings faster
- **Experience** connects operational data to better customer and agent journeys
- **Engineering** enables modular, composable architectures that scale and adapt
- **Data & AI** turns real-time information into intelligent action
The result is an architecture that is better suited to continuous change. New journeys can be introduced incrementally. Existing systems can be modernized without destabilizing the business. And near-real-time intelligence can be shared across functions instead of sitting in isolated platforms.
Real-time agility across the insurance value chain
Quoting and onboarding
In quoting, speed and accuracy are essential. When customer and risk data can be accessed in near real time, insurers can reduce friction, improve responsiveness and support more personalized propositions. Teams can draw on current information instead of relying on lagging snapshots, helping them move faster from quote to bind.
Servicing and customer experience
Customers increasingly expect digital-first, seamless interactions across channels. Real-time access to policy, claims and profile data helps service teams respond with greater context and confidence. It also supports more proactive engagement, from tailored communications to better next-best-action decisions, improving satisfaction and loyalty.
Claims handling
Claims are one of the most important moments of truth in insurance. Connected data and AI-powered workflows can help streamline first notice of loss, triage, adjudication and communication. When claims teams have faster access to relevant policy and customer data, they can reduce manual effort, accelerate decisions and improve transparency for customers and agents.
Underwriting and risk management
Data-driven underwriting depends on timely, connected information. With better access to internal and external data, underwriters can strengthen risk selection, improve prioritization and respond more quickly to changing conditions. Real-time signals can also support fraud detection and help insurers act earlier when patterns begin to shift.
Product design and innovation
Product teams need faster feedback loops to respond to market demand, regulatory changes and new growth opportunities. ICE’s configuration capabilities, paired with real-time insight from a modern data layer, help simplify product creation and support quicker adjustments. That can reduce time-to-market from years to weeks for major launches while giving insurers more control over ongoing product evolution.
AI becomes more useful when data is current
AI in insurance creates the most value when it is grounded in timely, trustworthy information. Real-time and near-real-time access to operational and customer data improves the quality of decisioning, automation and personalization across the enterprise.
This enables a range of practical use cases:
- Personalized product recommendations and communications
- Faster claims automation and triage
- Real-time fraud detection and flagging
- Better customer segmentation and predictive insights
- Operational monitoring and workflow optimization
Rather than existing as a separate innovation layer, AI can be embedded directly into everyday insurance operations. That is how insurers move from experimentation to measurable business impact.
Resilience, compliance and scale in a regulated industry
Insurance modernization must improve more than speed. It must also strengthen resilience, governance and control. A modular, cloud-based approach helps insurers scale without carrying the full burden of legacy infrastructure. At the same time, stronger data access and governance support better auditability, privacy and regulatory responsiveness.
This matters in a heavily regulated environment where operational resilience is inseparable from customer trust. Near-real-time visibility helps organizations respond faster to disruptions, monitor performance more effectively and maintain continuity as volumes, products and regional requirements evolve.
Why this approach matters now
Insurance transformation is no longer just about replacing systems. It is about enabling a business that can sense, decide and act faster across every function. Real-time data access, composable architecture and AI-powered operations give insurers a way to modernize with purpose: improving responsiveness, reducing manual effort, accelerating product innovation and creating better customer outcomes.
Publicis Sapient, ICE and Speed Layer bring together the elements needed for that shift. ICE provides modular, configurable insurance software and a product configuration console designed for real-time insight and streamlined operations. Publicis Sapient adds deep insurance transformation expertise, a proven SPEED methodology and Speed Layer’s ability to decouple data from legacy systems and activate it across modern workflows.
Together, they help insurers build an always-on operating model—one where quoting, servicing, claims handling and product design are powered by connected data, continuous intelligence and the agility to keep moving.
If your organization is ready to unlock real-time operational agility, the opportunity starts with a better data foundation.