Process Automation
Improve efficiency through workflow automation, decision platforms and AI-powered process optimisation.
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We help insurers reduce friction across reinsurance processes, data flows and reporting.
Manual, high-touch reinsurance processes slowing your business down?
We replace fragmented, spreadsheet-heavy workflows with more controlled and scalable operations.
Struggling with inconsistent data and no single source of truth?
We unify reinsurance data to improve accuracy, visibility and decision-making.
Too much manual work in premium, claims and cession calculations?
We automate key processes to reduce effort, improve consistency and speed up processing.
Limited feeds from policy and claims systems creating bottlenecks?
We connect reinsurance operations with core systems for smoother processing and reconciliation.
Delays in partner communication affecting payments and recoveries?
We streamline reporting and data exchange to improve responsiveness and reduce leakage.
Making reinsurance decisions without timely analytics and partner insight?
We improve reporting and visibility to support better partner and exposure decisions.
What you gain with Sollers?
Our technology ecosystem for reinsurance transformation
Discover how stronger data foundations can improve efficiency, reduce risk and open the door to AI-driven insight.
Reinsurance transformation: insight and delivery
Explore why reinsurance modernisation is becoming a strategic priority
and see how this translates into successful platform delivery
Jeffery Kaczyński and Michał Trochimczuk explain why fragmented processes, rising volatility and limited portfolio visibility are turning reinsurance modernisation into a business priority.
See how Sollers helped turn a long-stalled implementation into a reliable and scalable reinsurance platform.
Our reinsurance services
We help insurers modernise reinsurance operations
across systems, workflows, data and reporting.
Build and connect reinsurance solutions that support treaty and facultative operations, downstream processing and finance data flows.
What you get:
Align reinsurance operations to your target model and improve workflows to reduce manual work, bottlenecks and spreadsheet dependency.
What you get:
Connect ceded and gross data to improve data quality, reporting visibility and decision support across reinsurance operations.
What you get:
Support contract-driven processes and assumed reinsurance decisions with better tools, communication and data-driven underwriting support.
What you get:
Explore connected services that help insurers improve delivery, strengthen operations and scale change.
The right reinsurance platform depends on your operating model, product complexity, reporting needs, finance processes and integration landscape. In practice, selection should assess support for treaty and facultative workflows, downstream processing, data handling, ledger feeds, scalability and fit with existing policy, claims and finance systems.
A reinsurance system should typically be integrated with policy administration, claims, finance, document and data platforms. The goal is to reduce spreadsheet-based handling, improve data consistency, support downstream processing and create more reliable reporting across ceded and assumed reinsurance operations.
In many cases, insurers can improve reporting incrementally by first standardising key data flows, strengthening validation, and connecting ceded and gross data into a clearer reporting layer. This makes it possible to improve reporting quality, partner communication and portfolio visibility without waiting for full end-to-end transformation.
The biggest risks usually include poor data quality, unclear ownership across teams, weak integration design, overreliance on spreadsheets, and underestimating contract and process complexity. Transformation programmes also fail when operating model changes are treated as secondary to technology implementation rather than designed alongside it.
Better visibility usually comes from stronger reporting foundations, clearer partner-level data and more structured analytics. This can include broker and reinsurer scoring, exposure visibility, management reporting and improved access to operational data needed for faster and more objective decision-making.
Improved workbenches, richer datapoints, stronger document handling and pricing support tools help underwriters make faster, more consistent decisions and assess opportunities with greater confidence.