DQ-Agent for Insurance
Solvency II readiness, claims-vs-reserves reconciliation, customer PII inventory.
Pain points
- !Solvency II data quality requirements
- !Reconciliation between claim payouts and reserve calculations
- !Masking of health data (KVKK special category)
- !Agency-level inconsistency detection
DQ-Agent answer
Reconciliation + Masking + Compliance agents automate insurance operations end to end.
Insurers run DQ-Agent on-premise against policy, claims and reserve tables. Reconciliation checks surface mismatches between claim payouts and reserves, while masking handles health data that KVKK treats as a special category.
Regulations covered
KVKKTurkish Personal Data Protection Law (Law 6698)
PII inventory, retention policies, masking and anonymization evidence.
- Article 4 — General principles
- Article 6 — Special categories
- Article 7 — Retention
- Article 12 — Data security
Agents that do the work
ProfilingAgent
Generates 20+ metrics per table
Output: Profiles snapshot
AnomalyDetectionAgent
Detects 22 anomaly types
Output: Anomalies snapshot
ReconciliationAgent
GL ↔ subledger SUM reconciliation
Output: Reconciliation report
MaskingAgent
DDM scripts + k-anonymity + KVKK retention
Output: Masking + retention DDL
ComplianceAgent
BDDK + KVKK + BCBS 239 + IFRS 9 + SOX reports
Output: Compliance PDF/HTML
Example checks
- Reconciliation breach — GL ≠ subledger
- Duplicate rows — Same PK twice
- Cross-table inconsistency — Different NULL pattern across tables
- NOT NULL violation — NULL in PK column
- Stale data — freshness > 24h
30-minute live demo against your own schema
Not a slideshow — a live install. We profile your SQL Server connection in minutes.