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The analysis starts with the organisation’s operating model. For Property & BI, the relevant question is not whether a policy contains a familiar list of covers, but whether it follows the financial consequences of fire, machinery damage, natural hazard or utility failure. The exposure must be described in language that connects operational facts to loss measurement, policy triggers and management decisions. That approach helps insurers understand the risk, helps the client compare quotations on substance rather than headline premium, and gives the claims team a coherent record of why limits, sublimits, waiting periods and conditions were selected.
The research brief examines how a major production location becomes unavailable and a critical supplier is affected during the same recovery window. This is deliberately narrower than a generic insurance review: it identifies the operational dependency, estimates the sequence of financial effects and tests which policy clauses must respond. The working evidence includes asset registers, replacement-cost studies, stock declarations, gross-profit calculations, recovery plans, supplier maps and equipment lead-time records. Each data point has a purpose. Values support limit selection, contracts expose risk transfer, recovery assumptions shape interruption periods, and incident records reveal whether the proposed retention is commercially realistic.
Buildings, machinery, stock and other physical assets at declared locations. The analytical task is to determine the trigger, credible severity, available controls, financial retention and evidence that would be required after a loss.
Lost gross profit, standing charges and extra expense during recovery. The analytical task is to determine the trigger, credible severity, available controls, financial retention and evidence that would be required after a loss.
Financial impact of damage at critical suppliers, customers or utilities. The analytical task is to determine the trigger, credible severity, available controls, financial retention and evidence that would be required after a loss.
A recovery window tested against lead times, approvals and ramp-up. The analytical task is to determine the trigger, credible severity, available controls, financial retention and evidence that would be required after a loss.
Replacement values and BI sums insured aligned with real exposure. The analytical task is to determine the trigger, credible severity, available controls, financial retention and evidence that would be required after a loss.
The loss chain matters because physical damage can stop production, delay customer delivery, create extra expense and erode gross profit while replacement equipment, permits and skilled contractors are secured. Reviewing the components separately can hide accumulation. Kompetenz therefore connects them into one scenario and records which department owns each assumption.
The principal wording review concentrates on the damage trigger, basis of valuation, underinsurance provisions, waiting periods, BI definitions, sublimits for utilities and suppliers, and the selected indemnity period. These provisions determine how the policy behaves when facts are incomplete and time is limited. Broad marketing descriptions do not resolve questions about causation, allocation, consent, aggregation or proof. The research output therefore pairs every material scenario with a specific clause, a proposed improvement and a fallback position for negotiation.
A second source of friction is governance. operations, engineering, finance, procurement, continuity management and site leadership may each hold part of the information, but no single team sees the whole loss pathway. A structured workshop reconciles the different versions before the submission reaches the market. This reduces contradictory answers, highlights material controls and prevents an insurer from pricing uncertainty that the organisation could have explained.
Materiality is assessed through severity, duration, liquidity and recoverability. The model asks how quickly costs arise, which expenses must be paid before an insurer confirms cover, whether revenue returns immediately or gradually, and how much loss the organisation can retain without disrupting investment or debt obligations. Stress testing should include a major production location becomes unavailable and a critical supplier is affected during the same recovery window. The result is not one artificial number; it is a range that supports limit selection and transparent management judgement.
Kompetenz Insurance Broker converts the findings into an underwriting narrative, a prioritised wording schedule and a negotiation plan. The broker can challenge inconsistent assumptions, compare insurer responses against the same scenarios and preserve the reasoning behind accepted trade-offs. After placement, the research becomes a practical reference for notification, evidence collection and renewal improvement rather than a report that is filed and forgotten.
