QNSI

Insurance & asset management | Modelled case study

Prove the integrity of claims evidence from intake to settlement

Can the insurer distinguish an original claimant artifact from later transformation, annotation, or fraud-review output?

Accountable ownersClaims CTO · Fraud Lead · Litigation Counsel
Scenario typeComposite model
Required outputDecision artifact

The modelled organisation

A recognisable problem reaches the operating agenda

This composite scenario follows the Claims CTO · Fraud Lead · Litigation Counsel functions. It is grounded in the cited problem context but does not identify a real customer.

Operating environment

An insurer or asset manager retains long-life policy, claims, portfolio, and customer records while relying on administrators, SaaS providers, brokers, and external evidence sources.

What is at stake

The organisation must preserve confidentiality and evidential integrity across decades without losing claims continuity, regulatory accountability, or vendor portability.

Situation

Photos, medical records, adjuster notes, and model outputs are copied and transformed across portals and vendors, weakening chain-of-custody arguments.

Event that forces action

Automation of claims intake, disputed evidence, or expansion of external adjusting partners.

Concrete system boundary

Systems this case study puts in scope

The model is specific about the operational surfaces that must be discovered, changed, or independently checked.

01

claimant upload channels

02

adjuster and medical evidence

03

document transformation services

04

settlement and litigation archive

Modelled case study walkthrough

How this organisation would use QNSI

The walkthrough connects the real-world problem to a bounded QNSI contribution and an independently reviewable result.

01

Recognise the operating condition

Photos, medical records, adjuster notes, and model outputs are copied and transformed across portals and vendors, weakening chain-of-custody arguments.

02

Frame the decision the owners must make

Can the insurer distinguish an original claimant artifact from later transformation, annotation, or fraud-review output?

03

Apply QNSI to the controlled boundary

Create QNSI-compatible signature and provenance records at capture, transformation, review, and settlement checkpoints.

04

Leave the team with a concrete result

A claims-evidence lineage bundle showing artifact hashes, responsible services, signature state, and gaps.

05

Prove the result in the organisation's environment

Claims and legal teams confirm admissibility, identity proofing, timestamp authority, source authenticity, and records policy.

What useful success looks like

A decision artifact plus proof from the real environment

The model stops at a target result. It becomes an actual case study only when a customer produces and independently validates this evidence in production.

Decision artifact

A claims-evidence lineage bundle showing artifact hashes, responsible services, signature state, and gaps.

Independent validation boundary

Claims and legal teams confirm admissibility, identity proofing, timestamp authority, source authenticity, and records policy.

Real-world problem grounding

Primary sources behind the model

These sources establish the external requirement, failure mode, or risk context used to model this case. They do not endorse HEOSSI or prove that QNSI completed the scenario.

Customer evidence status

This is modelled, not a customer claim

The organisation is a composite and the result is a target state. This page does not prove a deployment, customer outcome, certification, legal conclusion, regulator endorsement, or completed control.

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