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APRA-Aligned
Membership
Reporting

Peraison helped Westfund Health Insurance solve a core health fund reporting problem: producing monthly membership statistics that are accurate, repeatable, and aligned to what is submitted to APRA.

 

In health insurance, membership movements drive many of the decisions that matter most, including revenue performance, portfolio mix, retention focus, and whether leadership can trust the numbers used for planning and regulator-facing reporting.

 

Westfund’s transactional system held only the current membership state, with no historical retention, making it difficult to reconstruct month-end positions and movements such as joins, suspensions, terminations, and counts by product and cover type.

 

Peraison implemented a governed historical membership foundation using daily snapshots, then automated month-end views and dashboards that present membership movements and counts in the same structure used for APRA reporting.

 

The result is a single, trusted membership position each month, less manual effort, and richer segmentation that helps explain what is changing and why across products, promotions, previous fund, cover type, and termination reasons, tracked against budget.

Customer Story
Regulatory & executive confidence through APRA-aligned membership numbers

Internal membership reporting aligns with APRA submissions, removing discrepancies that create risk, uncertainty, and avoidable reconciliation effort.

Month-end reporting becomes a repeatable process, not a monthly fire drill

Automated month-end membership movements and counts replace manual processes, improving timeliness, consistency, and auditability.

Membership insight that supports retention, growth & performance management

Leaders can track membership trends and movement drivers by product, promotion, previous fund, cover type, and termination reason, and compare results to budget to guide action.

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Modern Solutions for a changing Insurance landscape

Helping Insurance institutions

accelerate with data & AI

  • Modernise data foundations across policy, claims, billing, and digital channels to enable cloud adoption and AI readiness. Establish governed data products, reusable pipelines, and scalable platforms so underwriting, claims, and service teams can make faster decisions with trusted, current information.

  • Unify policyholder, broker, and channel data to improve acquisition, renewal, and retention. Build segmentation, propensity, churn, and next best action models that help teams target the right customers, support intermediary performance, and improve portfolio mix across products and customer segments.

  • Strengthen risk and compliance outcomes with embedded controls, auditable data, and clear lineage across key processes. Implement model governance, monitoring, and regulatory-aligned workflows to reduce operational risk, improve transparency, and support consistent compliance across jurisdictions and lines of business.

  • Reduce claims cycle time and improve customer outcomes by redesigning workflows and automating high-volume tasks. Apply intelligent triage, document processing, and exception-led handling to lower cost to serve, improve consistency, and free specialists to focus on complex claims and member support.

  • Improve underwriting discipline and pricing performance with better risk selection and portfolio visibility. Deploy analytics that monitor loss ratio drivers, exposure shifts, and performance by line, segment, and channel, enabling earlier intervention, stronger pricing adequacy, and more confident growth decisions.

  • Deliver trusted reporting that supports IFRS 17, solvency, reserving, and management performance needs. Reduce manual reconciliation through controlled data models, automated validation, and consistent definitions so finance and actuarial teams can close faster, explain movement, and report with confidence.

  • Deliver robust outcomes across policy, claims, and data platforms with modern architecture and stack-agnostic engineering. Use proven accelerators and delivery patterns to integrate core systems, uplift reliability and performance, and enable scalable capability that teams can own and extend.

Our Insurance stories & insights

Explore the real‑world impact of our work across financial services, with stories and insights that reveal how data, AI, and technology deliver measurable outcomes.

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Dynamic Claims Development Forecasting

Doctors Health Fund gained dynamic, self-serve chain-ladder forecasts for month-end incremental claims, enabling segment filters, reduced actuarial effort, and stronger reserving confidence planning.

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Member Profitability Analytics 

Peraison built a member-level profitability model and dashboard for Doctors Health Fund, enabling trusted margin visibility, targeted retention/acquisition, and data-driven pricing decisions improvements.

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Claims Reserving & Financial Reconciliation

Streamlined finance operations for Thomas Miller by integrating premiums, claims, reserves and investments, automating reconciliations and exceptions to accelerate close and improve reserving.

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Insurance Broker Reporting Capability

Implemented a unified London-market broker reporting model and dashboards, replacing spreadsheets with T‑1 position visibility, automated rules, self‑serve role views, training sustainable.

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Commission Analytics Engine

Developed an automated commission analytics engine that normalised inconsistent agency statements into a trusted, auditable dataset, enabling near real-time revenue insight and scalable growth.

Curious how we can improve your business's performance?

Get in touch with our team

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