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Cloud consulting services

Let us guide your journey to the cloud

Cloud consulting services

Let us guide your journey to the cloud

We help insurance companies leverage cloud to achieve their business goals

As an independent business advisor, Sollers Consulting helps financial institutions achieve cloud excellence on every stage of cloud adoption - from validating business case for introducing cloud to company, through creating cloud strategy for enterprise to migration and adoption of most modern and business-wise powerful tools, incluiding Artificial Intelligence

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Sollers' Cloud consulting services

Want to empower your business with Cloud and AI solutions? We will take care of end-to-end delivery of the solution.

Cloud Migration

  • Business case validation
  • Cloud strategy
  • Migration roadmap
  • Building Cloud foundations - "Cloud Landing Zone"
  • Migration - systems and data
  • Costs optimization
migration to cloud
cloud computing

Cloud-native development

  • Cloud-optimized custom solutions development
  • Modernization of existing systems

Cloud AI automation in insurance processes

  • First Notice Of Loss automation
  • Documents processing automation in claims - e.g. invoices, medical documents
  • Customer contact automation - e.g. chatbots
digital cloud transformation
Partnerships
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Leading International Insurer in Japan

Guidewire InsuranceSuite© integrated with Front-End Portals and big infrastructure: hybrid deployment utilising cloud and on-premise. Fully automated code deployment made the release cycle significantly faster. Project infrastructure utilising container platform concepts, provides a stable, quick and robust deployment platform.

Leading British Insurer Guidewire PolicyCenter©, ClaimCenter© and large infrastructure: 40 non-Prod environments, many points of integration. Migration to an AWS Cloud and automation of the process made it possible to decrease the time of run of new test environment from 2 months to 1 hour. Automated code analysis combined with part-automated tests significantly increased the quality of the deployed code and reduced time of tests.

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Dominik Kamiński
Dominik Kamiński
Head of Cloud

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Frequently asked questions about Cloud

To ensure data security in the cloud, encrypt sensitive data both at rest and in transit, implement strong identity and access management (IAM) controls, and regularly update security policies. Additionally, conduct regular security audits, and use advanced monitoring tools to detect and respond to threats in real-time.

Cloud providers ensure compliance by adhering to industry-specific certifications and standards like ISO 27001, GDPR, HIPAA, or SOC 2. They offer security controls, reporting tools, and audit capabilities to help businesses meet regulatory requirements while regularly undergoing independent audits to validate compliance.

To unlock the full potential of the cloud in insurance, companies should leverage scalable infrastructure, integrate advanced analytics, and adopt AI-driven tools for personalized customer service. Embracing cloud-native applications and modernizing legacy systems allows for greater flexibility, cost-efficiency, and faster innovation.

Key metrics include cost savings, system uptime, scalability, and disaster recovery performance. Additionally, measure operational efficiency improvements, enhanced customer experience, and the speed of deploying new services to ensure cloud investments align with business goals.

Best practices include conducting thorough cloud readiness assessments, selecting the right cloud model (public, private, or hybrid), and ensuring a phased migration approach. Prioritize security from the start, invest in employee training, and continuously monitor cloud performance and compliance.

Common mistakes include underestimating migration complexity, failing to align cloud strategies with business goals, and neglecting security and compliance measures. Additionally, some companies overlook the importance of governance frameworks and miscalculate cloud costs, leading to overspending.

Cloud platforms provide the computational power and scalability needed for AI and machine learning models, enabling automation in areas like claims processing, fraud detection, and customer support. By integrating AI with cloud infrastructure, insurers can offer personalized services, improve efficiency, and reduce operational costs.