Insurance
Core insurance systems, claims and fraud detection in production.
We help insurers modernise core insurance systems, automate claims processing, detect fraud and build data platforms. With a strong focus on audit, regulation and reliability.
Claims Automation
Claims processing automation with rules + ML. Transparent scoring, audit trail and fallback to manual handling.
Core insurance systems
Policy admin, billing, contract management. Zero-downtime modernisation, gradual migration.
Fraud Detection
Anomaly detection, graph analysis, scoring. Real-time and batch evaluation.
Data Platform & Reporting
Solvency II, IFRS 17. Data pipelines for regulatory reporting and risk management.
Claims Automation
Automation of the insurance claims process — from notification to payout — using rules, ML scoring and human-in-the-loop.
Why CORE for insurance¶
Insurers combine transactional systems with a document-centric world and complex rules. Data quality and decision traceability are critical — especially for automation and AI.
We build systems that meet regulatory requirements (Solvency II, DORA) while enabling modernisation without the risk of downtime.
Časté otázky
A combination of a rules engine and ML scoring. Minor claims are processed automatically (photo AI, rules), complex cases are escalated to a claims handler with a pre-prepared summary.
Yes. Anomaly detection, graph relationship analysis, behavioural scoring. Real-time and batch evaluation with transparent score explanations.
Data pipelines with lineage and quality checks. Automated regulatory reports, audit trail from source to output.
Yes. Gradual migration (strangler pattern) — parallel running of old and new systems, zero-downtime cutover, data reconciliation.
ICT risk management, incident reporting, digital resilience testing. Gap analysis of the current state and implementation of missing controls.
AI models for risk assessment, pricing optimisation and client segmentation. With governance, audit trail and human-in-the-loop for key decisions.