Seyna strengthens its actuarial analysis solution

Product Updates - Q1 2025

Our technology continues to evolve to maximise the profitability of your portfolios and refine the management of your programmes, guarantee by guarantee.

Certain actuarial analyses are essential but time-consuming. Thanks to Seyna, they are now fast, automated and continuously available.

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Four key new features

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🔹 Automated IBNR Calculation

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Reserves for claims to be paid but not yet reported (IBNR) are an essential part of actuarial work, often carried out in Excel with long lead times.

Seyna automates their calculation using the ChainLadder method, supplemented by an analysis of the acquisition of contracts month by month to challenge the results.

We also integrate CC-plots to check the consistency of the transformation rates, thus ensuring the robustness of the estimates.

The result: the whole process takes just three minutes per portfolio, compared with several hours using a manual approach.

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🔹 Segmented Product Analysis

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A better understanding of a product's performance requires detailed segmentation.

Our tool allows you to analyse the profitability of a programme according to the variable of your choice (e.g. type of contract, customer profile, region), making it easier to identify the guarantees that are having a negative impact on your programmes.

The axes of analysis are automatically integrated into the tool, so there's no need to pre-programme. The actuary logs in and accesses the results directly.

Here's a concrete example: rather than increasing the rates of a product across the board, we detected that a specific category of customers was being under-priced.

By adjusting only this category in a targeted manner, we were able to preserve the balance of premiums for other policyholders, thereby improving the profitability of the portfolio without disrupting the market as a whole.

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🔹 Unpaid Premiums Estimation

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By analysing contract histories, we can estimate in real time the percentage of premium that could potentially be lost.

This statistical approach enables us to refine our financial projections and anticipate future volumes.

We have an overall view of the percentage of policyholders under contract who will not pay their premiums. This has a huge impact on the broker, who can estimate the commissions lost.

At present, these estimates are used as a basis for discussion with brokers in a steering committee.

Eventually, we plan to integrate more external data (such as quotation volumes) to further refine the analysis and make more precise recommendations.

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🔹 RBNS Estimation

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File-by-file reserving estimated by the broker (RBNS) is now better controlled and automatically validated.

We compare the amount paid on closed claims with the reserves on open claims, by adjusting using different methods: inflation rate depending on the date of occurrence, comparison with specific variables (e.g. amount provisioned per rent).

Our semi-structured data schema allows total flexibility in adapting the analysis to the specific needs of each portfolio.

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Thanks to these innovations, our teams are more efficient and can offer you ever more precise insights to help you manage your portfolios more effectively.

These tools, which are operational as soon as the first data is integrated, are already being used extensively at Seyna, and we will continue to refine them as we receive feedback from the field.

Stay tuned for further developments!

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