Agent
Framework AI LDF selector for chain-ladder reserving across all measures. Applies structured decision framework with documented criteria. Invoke once to make LDF selections for all measures (Paid Loss, Incurred Loss, Reported Count, etc.) in the analysis.
Agent
Open-ended AI LDF selector for chain-ladder reserving across all measures. Makes selections using actuarial judgment and pattern recognition without a rigid rules framework. Invoke once to make LDF selections for all measures (Paid Loss, Incurred Loss, Reported Count, etc.) in the analysis.
Agent
Framework AI tail curve selector for chain-ladder reserving across all measures. Applies a phased tail curve decision framework with required documentation for ASOP 43 compliance. Invoke once to make tail curve selections for all measures in the analysis.
Agent
Open-ended AI tail curve selector using holistic actuarial judgment and pattern recognition across all measures. Makes independent tail curve selections based on curve diagnostics, triangle characteristics, and experience without rigid rule sequencing. Invoke once for all measures in the analysis.
Agent
Framework AI selector for ultimate losses and counts by accident year. Applies structured framework to weight Chain Ladder, BF, Cape Cod, Berquist-Sherman, Frequency-Severity, Benktander, and related methods based on maturity, diagnostics, and data conditions. Makes one selection for Loss (choosing between…
Agent
Open-ended AI selector for ultimate losses and counts by accident year. Makes selections using actuarial judgment and pattern recognition without a rigid rules framework. Provides creative second opinion alongside framework selector by holistically weighing method indications. Makes one selection for Loss (choosing…