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AI Actuarial Transformation

GENELLIPSE SERVICES
01

Overview

Give actuaries more time for judgement.

Connect actuarial data, controlled calculations, scenario analysis, and reporting while preserving professional review and accountability.

Discuss your requirementsWhat we do
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THE BUSINESS CONTEXT

Build around the problem worth solving.

Actuarial teams often spend substantial effort preparing extracts, checking assumptions, reconciling results, and assembling reporting evidence. Genellipse helps structure and automate those supporting tasks so qualified actuaries can focus on methodology, interpretation, uncertainty, and the decisions that require their expertise.

  • Chief actuaries
  • Life and P&C teams
  • Reinsurance and finance teams

AREAS OF WORK

From requirements to useful capability.

01

Prepare trusted actuarial data

Connect policy, claims, exposure, and reinsurance inputs. Validate completeness, reconcile totals, and retain lineage from source records to model inputs.

02

Control scenarios and assumptions

Version assumptions, record approvals, orchestrate repeatable runs, and compare sensitivities. Preserve the chosen actuarial methodology and make changes traceable.

03

Explain and review results

Assemble reconciliations, movement analyses, and draft commentary linked to supporting evidence. Require actuarial review before conclusions or reports are approved.

SHAPE THE ENGAGEMENT

A scope you can review.

The scope can include the following. Agree the priorities, responsibilities, and acceptance criteria around your specific environment.

  • Actuarial data and control map
  • Repeatable preparation and reconciliation workflow
  • Versioned assumption and scenario register
  • Reviewed reporting pack and operating instructions

ILLUSTRATIVE ENGAGEMENT

What this could look like.

For a reserve review, automate claims-data checks and approved scenario runs, then assemble a movement analysis for the actuary. The actuary retains ownership of methods, assumptions, interpretation, and sign-off.

Illustrative scope, not a customer case study or a promised outcome.

Your team’s role

Assign a qualified actuarial owner, provide licensed model access and representative data, and approve assumptions, acceptance thresholds, and reporting responsibilities.

An MVP within 6 weeks

Select one portfolio and one preparation, reconciliation, or reporting workflow for an MVP delivered within 6 weeks. Broader model changes and reporting obligations require separate scoping.

How Genellipse products fit

AegisNow is the insurance, reinsurance, and actuarial platform. GeneData supports governed inputs, and Cortex AI can assist with orchestration and evidence-based drafting within approved boundaries.

Discuss your requirements

FROM PRIORITY TO PRACTICE

A clear path
through the work.

Start with an agreed scope. Connect business decisions, implementation, and the people who will own the result.

01

Discover & define

Agree the business problem, users, current baseline, and constraints. Identify the systems, information, and owners needed for a useful first scope.

02

Design & validate

Map the workflow, integration, and controls. Test the proposed approach with representative inputs and agree how the team will judge the result.

03

Build & introduce

Deliver the agreed capability in manageable increments. Include user feedback, documentation, training, and the decisions needed for a controlled rollout.

04

Operate & improve

Review adoption, reliability, quality, and cost against the baseline. Refine the workflow and decide what to expand using evidence from actual use.

COMMON QUESTIONS

Details that help
you decide.

Explore the scope, practical considerations, and a useful starting point for your team.

Does AI replace the actuary or the actuarial model?

No. The engagement supports controlled workflows and professional judgement. Qualified actuaries retain responsibility for methods, assumptions, validation, and any required sign-off.

Can we retain existing models?

Yes, subject to interface availability and licensing. We assess how to connect existing calculation tools and reconcile outputs rather than assuming a model replacement is necessary.

LET’S TALK ABOUT YOUR PRIORITIES

Bring one challenge. Find a useful starting point.

Tell us about the process, the people involved, and what you want to improve. We can explore the scope, dependencies, and a practical next step together.

Discuss your use case