An enterprise data warehouse and close management tool that enhances data integrity, produces regulatory reports, automates financial close processing, and accelerates financial processes.

A rules-based calculation and allocation engine automating premium ceded premium allocation, IBNR calculation, expense allocation, and business forecasting.

An accounting rules engine that ensures the integrity of financial accounts, manages accounting journals, and supports different time zones and multiple ledgers.

A regulatory and bordereau reporting and reconciliation system that manages and validates bordereau uploads, creates new reporting formats for evolving regulatory requirements, and delivers real-time output of system-to-system reconciliations.

A reporting data layer, offering granularity for business performance analysis, and facilitating the transition from management to statutory to reconciled regulatory data submission.

AEGIS transitioned seamlessly from manual, Excel-based processes to an automated operating model, marking a pivotal step in their digital journey.

Phinsys streamlined financial processes, automating key functions like financial close processing, premium allocation, IBNR calculation, and regulatory reporting, significantly increasing the control envionment and enhancing overall operational efficiency.

The implementation aligned with AEGIS' strategic objectives, establishing transparent, auditable, and controlled financial operations, contributing to strategic agility.

Phinsys addressed specific reporting needs, including UK GAAP statutory reporting and Lloyd's reporting, offering drill-down, rounding, validation, and casting functionalities for adaptive reporting compliance.

The eradication of manual processes and the establishment of a single, consolidated source of financial data, heightening operational efficiencies, strengthening financial controls and positioning AEGIS for sustained growth.

An enterprise data warehouse and close management tool that enhances data integrity, produces regulatory reports, automates financial close processing, and accelerates financial processes.

A rules-based calculation and allocation engine automating premium ceded premium allocation, IBNR calculation, expense allocation, and business forecasting.

An accounting rules engine that ensures the integrity of financial accounts, manages accounting journals, and supports different time zones and multiple ledgers.

A regulatory and bordereau reporting and reconciliation system that manages and validates bordereau uploads, creates new reporting formats for evolving regulatory requirements, and delivers real-time output of system-to-system reconciliations.

A reporting data layer, offering granularity for business performance analysis, and facilitating the transition from management to statutory to reconciled regulatory data submission.

Creation of a single, robust data model supporting syndicate and managed syndicate reporting.

Fast and accurate mapping of all data sources into a single model for simplified ongoing management and reporting.

Enhanced management information accessibility with granular detail for informed business decisions.

Implementation of consistent and accurate finance close processes, reducing operating costs.

Consolidated reporting across the entire portfolio, including Lloyd’s Solvency II Pillar 3 and UK GAAP.

Automatic calculation and allocation of premiums, IBNR, and ceded. Automatic posting of accounting entries and reconciliation across the portfolio and to a single ledger.

Following a transformative acquisition in August 2019, Hamilton needed to replace and renew all of existing source underwriting systems, data warehouses and finance systems that were becoming obsolete and unable to meet the evolving requirements of the organisation.

Disparate systems and data sources initially resulted in excessive manual data reconciliation processes, immediately post the acquisition, that were time-consuming.

Hamilton required a solution that could support both the local regulatory and Hamilton’s statutory and management reporting across the entire organisation, including its Lloyd's syndicates and international offices. This also needed to be achieved within the trajectory of Hamilton becoming a public company, and hence, the need for a more timely financial close and to be fully SOX compliant.

An enterprise data warehouse and close management tool that enhances data integrity, produces regulatory reports, automates financial close processing, and accelerates financial processes.

A rules-based calculation and allocation engine automating premium recognition (written and earned), ceded premium allocation, IBNR calculation, expense allocation, and business forecasting.

An accounting rules engine that ensures the integrity of financial accounts, manages accounting journals, and supports different time zones and multiple ledgers.

A regulatory and bordereau reporting and reconciliation system that manages and validates bordereau uploads, creates new reporting formats for evolving regulatory requirements, and delivers real-time output of system-to-system reconciliations.

A reporting data layer, offering granularity for business performance analysis, and facilitating the transition from management to statutory to reconciled regulatory data submission.

Manual processes that combined multiple data sources have been eliminated, and bordereau feeds are now automated.

A consolidated enterprise data warehouse has reduced closing cycle time, significantly enhanced the data analysis capability and improved overall data granularity and quality.

The organisation is now closing in on its vision of having "one source" of data and delivering all the expected efficiencies and enhanced financial controls.

The need to streamline onboarding processes for new transactions while evolving and maintaining a scalable and efficient day-to-day operation.

Ensuring consistency in the technology estate to minimise technical debt and simplify the technology landscape.

Handling nuances and challenges associated with bespoke data migrations during mergers and acquisitions.

Phinsys provides data migration expertise and proprietary data management tools for integrating books of business from Arch/Barbican and Canopius/AmTrust.

Development of a scalable and repeatable data model and ecosystem designed to onboard clients quickly, ensuring economies of scale.

An enterprise data warehouse and close management tool that enhances data integrity, produces regulatory reports, automates financial close processing, and accelerates financial processes.

A rules-based calculation and allocation engine automating premium ceded premium allocation, IBNR calculation, expense allocation, and business forecasting.

The streamlined onboarding process and the scalable data model have resulted in efficient, scalable, and easily integrated day-to-day operations.

The adoption of Phinsys products reduced the quarterly close process from weeks to days, improving data scope and granularity.

Premia's focus on building a robust and scalable platform ensures consistency and supports expansion beyond the Lloyd’s market, reinforcing Premia’s growth trajectory.

Pillar Capital relied heavily on manual spreadsheet processes to manage their financial data, resulting in inefficiencies and increased risks of errors.

As the spreadsheets grew, they became unwieldy and unstable, hindering productivity and data accuracy.

Users had to manually copy and paste financial values across spreadsheets, a process prone to human errors and delays.

Pillar Capital needed a solution that consolidated calculations in one central place and provided an audit trail for data inputs and executions.

Integration with their source system, PROS, was crucial for seamless data management.

A rules-based calculation and allocation engine automating premium ceded premium allocation, IBNR calculation, expense allocation, and business forecasting.

An accounting rules engine that ensures the integrity of financial accounts, manages accounting journals, and supports different time zones and multiple ledgers.

A reporting data layer and visualisation dashboard displaying data progression, offering granularity for business performance understanding, and facilitating a seamless transition from management to statutory to reconciled regulatory data submission.

Consolidated financial data from over 750 Excel worksheets into a central database enhancing accessibility and reducing errors.

Consolidation of data across all funds, enabled analysis and reporting on separate or combined fund performance.

Reduced manual data handling, allowing the finance team to focus on strategic analysis and reporting.

Simplified integration was evident when two new funds were introduced during the project demonstrating the system’s adaptability and elimination of extensive configuration.

Reduced manual data handling, allowing the finance team to focus on strategic analysis and reporting.

Multi-level data could be analysed, from individual contacts to fund performance, improving decision making.