How do I set up a claims bordereaux platform for settlement workflows and premium loss cession tracking?

To set up a claims bordereaux platform for settlement workflows and premium/loss cession tracking, think of it as building one system with three connected layers:

1. Inbound bordereaux ingestion
2. Workflow/settlement processing
3. Accounting, cession, and reporting

Here’s a practical setup approach.

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1) Define the use cases first

Clarify what the platform must handle:

Bordereaux types

• Claims bordereaux: claim notifications, reserves, payments, recoveries, status changes
• Premium bordereaux: written premium, adjustments, cancellations, reinstatements
• Loss bordereaux: paid losses, outstanding reserves, incurred losses, ALAE/ULAE if relevant
• Cession bordereaux: treaty/facultative allocation of premium and losses to reinsurers

Core outcomes

• Match each transaction to the correct:
  • policy
  • claim
  • treaty/fac placement
  • reinsurer
  • accounting period
• Track:
  • ceded premium
  • ceded losses
  • commissions, taxes, fees
  • recoverables and settlement balances
• Support:
  • approvals
  • settlement generation
  • exception handling
  • audit trail

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2) Design the data model

You’ll want a canonical schema, even if bordereaux arrive in different formats.

Core entities

• Counterparty: insurer, MGA, broker, reinsurer
• Policy
• Claim
• Coverage / Section
• Treaty / Facultative Contract
• Bordereau batch
• Transaction line
• Settlement ledger entry
• Payment / Recovery
• Allocation / cession split
• Exception / workflow item

Essential fields

For each bordereau line, standardize:

• source file / batch ID
• transaction type
• policy number
• claim number
• loss date / accounting date
• currency
• gross amount
• fees / commissions / taxes
• net amount
• ceded % or allocation basis
• treaty reference
• reinsurer reference
• reserve / paid indicator
• status

Important accounting dimensions

Include dimensions for:

• underwriting year
• accident year
• accounting period
• class of business
• territory
• currency
• treaty term
• contract type

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3) Build the ingestion pipeline

Bordereaux usually arrive as Excel, CSV, or sometimes API feeds.

Ingestion steps

1. Upload / receive file
2. Validate structure
   • required columns
   • datatype checks
   • date format
   • currency code
3. Map source fields to canonical fields
4. Deduplicate
5. Enrich
   • lookup policy/claim/treaty
   • assign reinsurer
   • calculate ceded values
6. Flag exceptions
7. Post to workflow and ledger

Good practice

• Preserve the raw file unchanged
• Store parsed data separately
• Maintain versioning for resubmitted bordereaux

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4) Add allocation logic for premium and loss cession

This is the heart of the platform.

Premium cession

For each premium line:

• Identify relevant treaty
• Apply cession rule:
  • quota share %
  • surplus share
  • XL layer attachment/exhaustion
  • facultative placement terms
• Calculate:
  • ceded written premium
  • commission
  • brokerage
  • taxes
  • net payable/receivable

Loss cession

For each claim or loss line:

• Determine if it falls within treaty terms
• Apply:
  • quota share %
  • per risk / per occurrence / aggregate excess loss logic
  • retention
  • limits
  • deductibles
  • reinstatements
• Calculate:
  • ceded paid loss
  • ceded reserve
  • recoveries
  • recoverable balance

Allocation rules engine

Use a rules engine or configurable logic so business users can update:

• treaty hierarchy
• effective dates
• line-of-business filters
• thresholds
• exclusions
• currencies and FX rules

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5) Create settlement workflows

A claims bordereaux platform should not just calculate amounts; it should manage approvals and settlement.

Typical workflow stages

1. Ingested
2. Validated
3. Matched
4. Allocated
5. Reviewed
6. Approved
7. Settled
8. Reconciled
9. Closed

Settlement workflow functions

• Triage exceptions
• Route to claims handler / technical accountant / finance approver
• Compare current bordereau against prior period
• Identify:
  • late claims
  • duplicate items
  • amount changes
  • mismatched treaty references
• Generate settlement statements
• Track payment due dates
• Support partial settlement and dispute resolution

Useful workflow rules

• Auto-approve low-value clean items
• Require manual review for:
  • large losses
  • non-standard treaty matches
  • unusual FX movements
  • negative adjustments
• Escalate aging exceptions automatically

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6) Build the settlement ledger

This is where the accounting truth lives.

Ledger entries should track

• gross premium payable/receivable
• ceded premium payable/receivable
• gross loss paid
• ceded loss recoverable
• commissions
• fees
• taxes
• FX gains/losses
• suspense items
• settlements and reversals

Ledger principles

• Double-entry accounting
• Immutable posting history
• Reversals rather than overwrites
• Period lock after close

Reconciliation views

• Bordereau-to-ledger
• Ledger-to-payment
• Treaty statement-to-cash
• Claim reserve movement-to-recoverable movement

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7) Support controls and auditability

This kind of system needs strong controls.

Key controls

• user roles and permissions
• approval thresholds
• maker-checker controls
• audit log of:
  • file uploads
  • field changes
  • rule changes
  • approvals
  • settlement posting
• reference data governance
• exception aging controls

Audit features

• line-level traceability from raw file to final settlement
• versioned treaty rules
• exportable audit reports

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8) Reporting and dashboards

Give each team the views they need.

Operations dashboards

• files received vs processed
• exceptions by type
• aging items
• settlement status

Finance dashboards

• ceded premium by treaty/reinsurer
• loss recoverables outstanding
• aged balances
• cash forecast
• aging by period/counterparty

Management reports

• claims ratio
• net vs ceded performance
• treaty utilization
• top exception causes
• SLA adherence

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9) Integration points

You’ll usually need integrations with:

• policy admin system
• claims management system
• general ledger / ERP
• payment platform
• document management system
• data warehouse / BI tool
• FX rates provider

Integration pattern

• API where possible
• scheduled file exchange where necessary
• event-driven updates for status changes if available

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10) Recommended implementation architecture

A simple but scalable architecture:

Front end

• Upload portal
• Review queue
• Workflow inbox
• Reporting dashboard

Back end

• Ingestion service
• Validation service
• Matching/Rules engine
• Workflow engine
• Ledger service
• Reporting service

Storage

• Raw file repository
• Staging database
• Canonical transaction store
• Ledger store
• Audit log store

Processing

• Batch processing for monthly bordereaux
• Optional near-real-time API processing for claim events

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11) Build a minimum viable product first

Start with a narrow scope:

• one bordereau format
• one line of business
• one treaty type
• one settlement workflow
• one reporting pack

MVP features

• file upload
• validation
• mapping
• treaty matching
• premium and loss cession calculation
• exception queue
• approval
• settlement export
• audit log

Then expand to:

• multiple formats
• multiple currencies
• layered treaties
• claims recoveries
• partial settlements
• automated reconciliations

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12) Common pitfalls to avoid

• No canonical data model
• Hardcoding treaty logic in spreadsheets
• Not preserving source files
• Weak audit trail
• Mixing settlement and accounting rules
• No version control for treaty terms
• Poor FX handling
• Ignoring duplicate and amended lines
• No exception workflow
• Over-automating before rules are stable

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Suggested functional modules

If you’re designing the platform, these modules are a good structure:

1. Document intake
2. Data validation
3. Reference data management
4. Cession rules engine
5. Claims matching
6. Settlement workflow
7. Ledger posting
8. Reconciliation
9. Reporting
10. Audit and controls

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If you want a practical starting blueprint

A solid first version would be:

• Database: PostgreSQL
• Backend: Python/FastAPI or .NET
• Workflow: Camunda, Temporal, or a custom state machine
• Frontend: React
• File processing: background jobs with queue
• Reporting: Power BI/Tableau
• Storage: object storage for source files
• Rules: configurable tables + rule engine

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If you want, I can also provide one of these next:

1. a target operating model
2. a sample data schema
3. a workflow diagram
4. a build-vs-buy vendor checklist
5. a technical architecture for the platform