Workflow: Mitigate

Understanding an asset is necessary but not sufficient. The customer who has built a defensible position in Manage now needs to act on it — to transfer the residual risk that does not belong on their balance sheet, to structure coverage that matches the actual exposure rather than a generic policy template, and to invest in resilience measures whose return can be quantified against the risk they reduce.

Mitigate is the workflow that turns analytical clarity into financial action. It is also the workflow where InfraSure's deepest value compounds — because the same analytical spine that surfaced the risk in Evaluate and quantified it in Manage is the spine that prices the mitigation in Mitigate, with internally consistent math throughout.

Risk transfer — parametric + structured solutions

Traditional property and casualty insurance is built around indemnity: a loss occurs, an adjuster assesses it, a claim is paid against the assessed damage. For weather- and hazard-driven losses on energy infrastructure, this structure is increasingly inadequate. The triggers are slow, the assessments are contested, and the structure cannot capture the revenue impact of a forced outage or the recovery loss between event and full operation.

Parametric insurance addresses this directly — payout is triggered automatically when a predefined weather or hazard condition is met, without claims assessment, without recovery delay, and structured to compensate the financial loss rather than only the physical damage.

The Mitigate workflow lets the customer configure parametric structures matched to a specific asset's exposure profile. You define the protection level (P5, P10, P25, or a custom MWh threshold), the analysis frequency, the period, and the result view; the platform models the trigger probability, the expected payout distribution, and the protection economics against the underlying scenarios the platform is already running for that asset. The output is a structure you can take to market — to a parametric insurer, to a reinsurer, or to a structured capital partner — with the underlying analytics already coherent with the rest of the asset's underwriting.

Coverage optimization

Where Manage's insurance gap analysis surfaced the gap, Mitigate's coverage optimization closes it. You can model alternative coverage structures — different limits, sublimits, deductible profiles, combinations of property, casualty, business interruption, and environmental coverage — and see how each structure performs against the modeled exposure across hazards and return periods. The output is a coverage configuration that matches actual risk, with the surplus or deficit visible by layer and the implied benchmark premium grounded in the underlying analytics.

Resilience as an investment decision

Adaptation spending — flood walls, hail-resistant modules, turbine insulation, vegetation management, equipment hardening — has historically been treated as a compliance cost. It should be treated as an investment decision with a quantifiable return.

Mitigate lets you model specific resilience measures against a specific asset, with the platform computing the EAL reduction, the VaR reduction, the insurance premium implications, and the cashflow impact across the asset's remaining life. You can rank measures by cost-effectiveness and build a resilience plan whose ROI is defensible to the same investment committee that approved the original asset.

Multi-layered mitigation

Real mitigation is rarely a single instrument. A wind asset in a hail corridor might combine a parametric hail cover, a tightened property policy, vegetation management on the access roads, and a turbine insulation upgrade — each addressing a different facet of the exposure, each priced against the same modeled risk surface. The Mitigate workflow surfaces the composite picture: how the layers interact, where they overlap, where they leave residual exposure, and what the net economics look like across the stack.

What you get out

Why the coherence matters

The defining characteristic of Mitigate is that the mitigation economics are not separate from the underwriting economics. The parametric trigger is calibrated against the same hazard distribution that drove the DSCR stress. The resilience ROI is computed against the same revenue forecast that supported the original bankability case. The coverage gap is benchmarked against the same modeled loss that surfaced the screening red flag.

This is what we mean when we say the platform produces coherent outputs: by the time the customer is acting on the asset, every action is grounded in math that has been consistent from the first screen forward.

See also

• Workflow: Evaluate — where the screening signal that points at an asset originates.
• Workflow: Manage — where the position Mitigate acts on gets built.
• For lenders + insurers — risk-transfer structuring and coverage optimization on the underwriting side.
• For developers + owner-operators — resilience ROI for operating assets.