Redefining Insurance for Tomorrow
In today’s world, insurance isn’t just about policies; it’s about forging true partnerships in risk management. We at Sphere recognize the evolving landscape where insurers and policyholders unite, weaving robust “financial safety nets” for a future that’s not just safer, but resilient and forward-looking. This shift is visible in the modern insurer’s playbook, where spotting risks in both new and established sectors goes hand-in-hand with leveraging transformative technologies.
Drivers Of Modernization
Accelerating the Journey of Innovation
Drive innovation and achieve greater sustainability with services that form the bedrock of our insurance transformation approach. These services are committed to providing the necessary support and infrastructure for a seamless transition. By leveraging these, we ensure a robust foundation for our partners that enables efficient operations, streamlined processes and enhanced customer experiences.
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Services
Solutions
Policy Lifecycle
Management Automation
Managing policy renewals, payments, and compliance manually is resource-intensive and prone to errors.
Streamlining policy lifecycle management with automated systems.
Streamlining policy lifecycle management with automated systems.
Cross-Platform Mobile App
for Policy and Claims Management
Disparate mobile experiences between iOS and Android platforms lead to inconsistent customer service and user experience.
Utilizing cross-platform technologies for a unified app experience.
Improves customer engagement by providing equal access to policy management and claims services, fostering loyalty and satisfaction.
Regulatory and Compliance
Management Integration
Keeping up with constantly evolving and state-specific regulatory changes is challenging and risky.
Automating regulatory and compliance management through direct integration with state bodies.
Ensures real-time adherence to laws, reducing the risk of non-compliance and enhancing operational confidence.
Dynamic Pricing and Underwriting
Actuaries are spending valuable time on low-value activities, which hampers agility and advanced analytical capabilities in pricing and underwriting, hindering improvements in risk and pricing modeling.
- Unified cloud-native platform
- Scalability for ingesting IoT data from millions of trips, expanding the customer base
- Reduced total cost of ownership compared to legacy Hadoop systems
- Usage-based pricing, leading to lower premiums for customers and reduced risk for insurance carriers, thereby lowering loss ratios
- Enables the creation of a digitally enabled, end-to-end underwriting experience
- Improve competitive position
- Decrease combined ratio
- 15% improvement in efficiencies
Claims Triage
and Prioritization
Missing data, or data that is “not in good order” and needs to be corrected before processing, leads to claims, leakage, and inefficient processes in triaging claims to the right resource.
Develop a custom claims triage solution using LLMs that can analyze claim descriptions, extract key information, and automatically prioritize claims based on predefined criteria. This solution can help insurance companies streamline their claims processing workflow, reduce response times, and improve customer satisfaction.
- Decrease in annual claims payout
- Increase in claim fraud detection/revention
- Improve efficiencies by 15%
Personalized
Customer Engagement
The inability to reconcile customer records across different lines of business limits real-time customer insights necessary for upselling and cross-selling. Siloed data makes it challenging to create accurate and comprehensive customer profiles, resulting in suboptimal recommendations for the next best action.
- Eliminates data silos by unifying all customer data to create complete customer profiles
- Integrated data security ensures that security measures are incorporated at every layer
- Delta improves data quality, providing a single source of truth for real-time streams and ensuring reliable and high-quality data for data teams
- Integrated ML and AI capabilities utilize AI to create self-optimizing ML
- MLflow model lifecycle management helps manage the entire machine learning lifecycle reliably, securely and at scale
- Use AI, ML, automation and real- time data to gain deeper customer insights and understand their needs
- Improve competitive positioning
- Enhance the customer experience
Harness the Full Power of Your Data Assets
+40
Data scientists
+50
AI & LLM experts
+75
AI & LLM experts
+400
Full time developers
+25
BI experts
Increase Business Velocity With Artificial Intelligence
10+
Global offices
+6
Accelerated LLM models
1600+
Projects