RESILIO / PILOT DECISION BRIEF / 30 JULY 2026

Resilio
Parametric income protection for delivery riders

A four-month, heat-only pilot for 10,000 riders in Delhi NCR.

Pending validation

Status

Proceed with controlled pilot validation

Binding cover has not commenced. The ₹700 price is indicative and subject to calibration and insurer quotation.

The uncovered event is a temporary stop in income

Dangerous heat can make riding unsafe before it creates a medical or accident claim. Logged-off hours can therefore reduce earnings without activating medical, accident or property cover.

Covered purpose Partial fixed support for qualifying heat-related work disruption.

Not designed as Medical, accident, property or exact income-indemnity insurance.

Model reference: RIDER_BASELINE | ASSUMPTION_REGISTER

Mechanism and peril are separate decisions

Parametric describes how payment is triggered. Extreme heat defines what the current pilot covers.

MECHANISM

Objective index + predefined benefit

No individual loss adjustment is used to set each payment.

CURRENT PERIL

Extreme heat only

Delhi NCR, March to June. Rainfall is outside current cover.

Model reference: PERIL_SCOPE | INSURANCE_TERM_SHEET

A modular operating architecture with one priced module

Shared services can support future modules, but each peril needs its own evidence, trigger, price and policy wording.

Core servicesEnrolmentEligibilityPayment controlsAudit trail

CURRENT PRICED MODULEExtreme heatCovered and modelled

FUTURE CANDIDATEExtreme rainfallNot covered, priced or modelled

FUTURE CANDIDATEOther disruptionNo current product definition

Model reference: PERIL_SCOPE | ASSUMPTION_REGISTER

Why heat first

The first pilot must be coherent enough to price, govern and learn from.

Decision lens	Heat-first position	Risk avoided
Model integrity	Use the peril already supported by the benefit, trigger, terms and scenarios.	Unpriced multi-peril exposure
Explainability	Test one peril, one season and one basis-risk framework.	A contradictory pilot narrative
Pilot learning	Limit moving variables while testing operations and rider outcomes.	Unclear reasons for success or failure
Commercial control	Keep claim cost, premium, capacity and wording heat-specific.	Cross-subsidy and accumulation ambiguity

Model reference: PERIL_SCOPE | PRESENTATION_GUIDE

Trigger to payment

A valid heat event is necessary, but not sufficient, for payment.

01Independent zone heat data received
02Insurer-approved trigger validated
03Coverage, zone and recent pre-event activity confirmed
04Data completeness and duplicate-event checks applied
05Highest tier limited by remaining ₹2,000 seasonal cap
06Insurer or authorised administrator approves payment

The rider sees a benefit, not the model

The working five-stage product is shown here in its actual route. All records are simulated.

Open rider experience Open programme console

Economics, with evidence status visible

GST is separate from premium. Implementation and integration are quoted separately.

Central claim-cost assumption₹500Model assumption

Combined loading₹200Model assumption

Premium before GST₹700Formula-linked output

Working GST per rider₹126Formula-linked output

Indicative invoice per rider₹826Formula-linked output

Base premium pool₹70.00 lakhFormula-linked output

Indicative insurance invoice₹82.60 lakhFormula-linked output

Central claims ratio71.4%Formula-linked output

Model reference: PRICING | SLIDE_OUTPUTS OUT-01 and OUT-02 | ASSUMPTION_REGISTER

Four decisions from the same payout rule

These cases call the same deterministic engine used in the nine-case console.

Simulated demonstration data

Extreme trigger

All conditions are satisfied for an Extreme event.

Decision: PAY
Tier benefit: ₹750
Remaining cap: ₹2,000
Final benefit: ₹750

All trigger and eligibility conditions are satisfied.

Model reference: TRIGGER_ENGINE

Basis risk is a pilot measurement, not a claimed result

Select an outcome to see what the programme must investigate.

Rider disruption observed

Available only after pilot

Trigger and disruption align

The event qualifies and the rider experiences material work disruption. This is the intended payment case.

No rate is asserted before weather, eligibility, payout and rider-outcome data are combined.

Model reference: BASIS_RISK

Responsibility follows the contract

The insurer is the risk carrier. Marsh is adviser and broker. The sponsor pays the premium.

Programme funding	Insurance risk	Advisory and placement	Trigger evidence	Eligibility evidence	Payment operations
Platform or approved sponsorPays premium; proposed policyholder	Licensed general insurerIssues policy and carries payment obligation	MarshBroker and programme adviser only	Independent data providerSupplies insurer-approved zone index	Participating platformCoverage, zone and recent activity data	Insurer or authorised administratorValidates and sends approved payment

Model reference: INSURANCE_TERM_SHEET

Scale, recalibrate or stop

The controlled pilot ends in a decision, not an automatic rollout.

Scale

Trigger performance, operations, rider outcomes and financial experience support expansion.

Recalibrate

Basis risk, claim cost, thresholds or operating controls need adjustment before another pilot.

Stop

The product cannot deliver acceptable rider value, operational control or insurer economics.