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Bordereaux
Portfolio
Intelligence

Peraison helped a leading global insurance and reinsurance group gain timely, trusted visibility of portfolio performance by turning fragmented bordereaux submissions into a single, governed source of truth.

 

The business needed a reliable way to track premiums, claims, loss ratios, claims development, and profitability across key dimensions including coverholder, product, geography, and broker, without relying on hundreds of inconsistent spreadsheets or late-cycle manual reconciliation.

 

Peraison delivered a bordereaux intelligence platform that consolidated submissions into consistent portfolio metrics, enabled users to drill from board-level KPIs to underlying policies and claims, monitored performance trends over time, and automatically flagged data quality issues that could distort results, including consistent views across multiple currencies.

 

The platform became a core management tool for underwriting and finance teams, improving performance oversight and strengthening governance of coverholders and delegated authorities.

Customer Story
Earlier & clearer portfolio performance tracking

Enabled consistent tracking of premium, claims, loss ratios, claims development, and profitability across coverholders, products, geographies, and brokers, improving the quality and timeliness of management information.

Reduced reporting effort & faster cycle times

Eliminated manual spreadsheet consolidation and reduced the time underwriting and finance teams spent preparing portfolio reporting and performance packs.

Lower risk through stronger data quality & delegated authority oversight

Automated data quality checks and exception reporting surfaced issues earlier, reducing operational and financial risk and improving governance of coverholders and delegated authorities.

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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 & investments, automating reconciliations & exceptions to accelerate close & 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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