MRC v3 → CDR: How Expert Insured Keeps Data Clean

When MRC v3 data doesn’t land cleanly in CDR, downstream processing slows, exceptions pile up and stakeholders chase emails. Expert Insured (EI) fixes this at the source.

What Actually Breaks

• Missing identifiers (UMR/UCN) and inconsistent binder/coverholder IDs
• Date-range errors (Inception > Expiry, Loss date > Report date)
• Party-role drift (Insured/Producer/Underwriter mislabels) and code list mismatches

Small defects ripple into bordereaux and premium ops. EI prevents the defects and makes any exceptions visible with owners.

EI’s Mapping & Validation

1. Capture: MRC v3 pack fields captured in EI’s placement admin screens.
2. Map: Deterministic mapping of MRC fields to CDR elements with data types and lists.
3. QC checks: Required/format/list/range + cross-sheet reconciliations (e.g., risk ↔ premium).
4. Exceptions: Auto-routed with owner, severity (critical/major/minor), due dates, notes and audit log.

For operations support compatible with PPL and CDR, see Placing (PPL · MRC v3 · CDR).

Downstream Benefits

• Faster premium ops: cleaner allocations, fewer unapplied cash items
• Fewer bordereaux exceptions: QC rules enforced pre submission
• Cleaner audits: versioned packs, traceability, maker checker evidence

Related Links

• Expert Insured — London Market AMS
• London Market BPO Hub
• Bordereaux & DDM (BPO)

Demo EI Explore London BPO

FAQs

Which MRC v3 fields most often fail CDR mapping?
Identifiers (UMR/UCN), date ranges (Inception/Expiry; Loss/Report) and party-role/codelist mismatches are the most frequent causes of exceptions.

How does Expert Insured handle mapping exceptions?
Exceptions are auto-assigned with severity, owner and due date; rules note the failed check; remediation and sign-off are logged for audit.