Infrastructure for Loss Reserving & IBNR Estimation

IBNR estimation requires documented development pattern assumptions, tail factor selection rationale, and reserve methodology for each line of business and accident period. Reserve opinions submitted to regulators and auditors must cite current, findable methodology. L3 reflects that actuarial reserve memoranda and development triangle methodology are documented and maintained per regulatory cycle, though the qualitative judgment behind tail factor selections remains partially tacit rather than fully formalized.

IBNR estimation requires automated capture of claims transactions—paid amounts, case reserve changes, closure events—as they occur in the claims system. Development triangle construction depends on complete, timestamped transaction histories. Automated capture ensures the reserving model ingests incremental claim development without waiting for quarterly data pulls, enabling more responsive IBNR estimation for recent accident periods with minimal development.

Statistical reserving methods require formal schema mapping claims to accident periods, development periods, and line-of-business classifications. Formal ontology defines entity relationships: Claim.AccidentYear, Claim.PaidLoss, Claim.CaseReserve, Development.Pattern, TailFactor.LineOfBusiness. Without explicit structure, the ML model can't systematically construct development triangles or apply credibility weighting across accident years. Machine-readable schema is required for IBNR automation.

Loss reserving requires API access to the claims transaction system, policy exposure database, economic inflation indices, and financial reporting systems where IBNR estimates are consumed. API connectivity enables the reserving model to pull development data, apply external inflation factors, and push reserve estimates to financial systems without manual export. L3 reflects achievable API access to most core systems within actuarial's current infrastructure context.

Reserve adequacy depends on development patterns and inflation assumptions that evolve continuously. When economic inflation accelerates, bodily injury severity trends require immediate recalibration in the IBNR model. Automated capture (C4) enables near-real-time sync: CPI updates propagate to severity trend factors within hours, not months. Quarterly reserve opinions submitted to regulators must reflect current development expectations, requiring maintenance faster than annual review cycles.

IBNR estimation requires data flows connecting the claims system (transaction data), policy admin (exposure and premium), economic data sources (inflation factors), and financial reporting (reserve submissions). API-based connections enable the reserving model to assemble development triangles and push outputs to finance without manual transfer. Reserve estimates flowing to financial systems via API rather than manual reporting reduces transcription error in regulatory submissions.