Less preparation.
More time for actuarial judgement.

Connect every stage of the actuarial workflow.

1. 01

   Trusted inputs

   Genellipse helps define reconciliations, data ownership, and versioned extracts in GeneData. A reproducible analysis starts with knowing what went into it.

2. 02

   Controlled analysis

   Scope AegisNow around approved actuarial methods and assumptions. Record model versions, inputs, and overrides so a reviewer can reproduce the result.

3. 03

   Evidence and explanation

   Cortex AI can help prepare movement commentary, assemble supporting evidence, and flag missing information. Actuaries validate explanations and exercise professional judgement.

4. 04

   Review and approval

   Preserve the review trail, decision rationale, and final sign-off. Agree the intended use and accountable actuarial owner before releasing an output.

AI supports preparation and analysis. Qualified actuaries remain responsible for methodology, assumptions, validation, professional judgement, and sign-off. Product capabilities and integrations are confirmed during scoping.

ILLUSTRATIVE RESERVING CYCLE

From source data to actuarial sign-off.

Consider an insurer preparing its quarterly reserve review across separate claims, policy administration, and reinsurance systems. Genellipse can help connect the work into a traceable cycle, starting with the systems and approved methods the team already uses.

This is an illustrative engagement design. The product configuration, integrations, and acceptance criteria are agreed with your team during scoping.

1. 01

   Agree the question and baseline

   Start with one portfolio and a reviewed prior quarter. Genellipse works with the actuarial owner to record the approved method, materiality thresholds, current effort, and acceptance criteria.

   Stage deliverable

   An agreed scope and comparison baseline.

2. 02

   Prepare and reconcile the data

   Connect policy, claims, premium, and reinsurance extracts through available APIs or controlled file transfers. Use GeneData to trace transformations, investigate exceptions, and freeze the approved input snapshot.

   Stage deliverable

   Reconciled inputs with ownership and lineage.

3. 03

   Run approved calculations

   Configure the agreed AegisNow workflow around approved models and assumptions. Retain run identifiers, model versions, and overrides; compare outputs with the reviewed historical run before expanding the scope.

   Stage deliverable

   A reproducible calculation and comparison record.

4. 04

   Investigate movements

   Use GeneAnalytics to compare periods and segments. Cortex AI can gather relevant evidence and draft explanations for changes in claims, exposure, assumptions, and ceded recoveries. The actuary checks the reasoning.

   Stage deliverable

   Movement analysis linked to supporting evidence.

5. 05

   Review exceptions and decisions

   Route unresolved items to named owners. Genellipse can connect GeneComply evidence and review processes, while GeneSecure supports investigation of relevant security events. Reviewers confirm that the analysis is ready for approval.

   Stage deliverable

   Recorded resolutions, review comments, and control evidence.

6. 06

   Approve and retain the record

   The authorized actuarial owner signs off the conclusion. Preserve the approved pack and its supporting versions, and measure cycle effort and review quality against the baseline before deciding what to automate next.

   Stage deliverable

   An approved decision pack and a measured improvement plan.

How the Genellipse products contribute.

Genellipse works with your actuarial, data, technology, and control teams to select the products needed for the agreed outcome. Existing models and systems remain part of the integration assessment.

EXPLORE THE OPPORTUNITY

Twelve starting points for your team.

Begin with one cycle and a reproducible baseline.

Choose one portfolio, reporting period, and approved method. Genellipse can map the source data, configure a scoped workflow, and compare the result with a reviewed historical analysis. Agree reconciliation tolerances, exception handling, and approval responsibilities before the MVP starts.

Measure efficiency and control together.

Track preparation hours, reconciliation exceptions, rerun time, review effort, and traceability. Model the value of released capacity alongside implementation, licensing, operation, and validation costs. Improved speed alone does not establish reserve adequacy, pricing suitability, or regulatory compliance.

Leave the MVP with a decision pack.

The agreed deliverables can include a certified data snapshot, reproducible run, movement analysis, assumptions register, validation evidence, and a phased implementation recommendation. Your actuarial owner determines whether the evidence supports the next stage.

INDUSTRY PERSPECTIVES

Turn industry thinking into a practical starting point.

These publications explore actuarial modernization and the wider use of AI in insurance. Each perspective below is paired with Genellipse’s proposed approach to applying the idea in a scoped engagement.

Sources reviewed in September 2026. Summaries are Genellipse’s interpretation of independent publications; the cited firms do not endorse Genellipse or its products. Original publications may be available in English only.