China Insurance AI Study Mission: Follow a Disputed Claim
Design an insurance AI visit around a disputed claim, showing how automation, human review, policyholder explanations and supplier responsibilities connect.
For an insurance AI study mission in China, ask a host to walk through a disputed claim. Follow what the system recommended, what the handler saw, how a policyholder challenged the outcome and who could change it. This reveals the operating responsibilities behind a claims demonstration and gives your delegation a concrete basis for comparison.
The walkthrough below is a proposed learning exercise. It is not a claim about the practices of a particular insurer, and it does not require visitors to receive identifiable policyholder records.
Separate triage from the coverage decision
“Claims AI” can describe very different tasks. Reading a document, routing a file, identifying a possible inconsistency and determining an entitlement should not be treated as one capability. Ask the presenter to mark the exact step being demonstrated on the workflow.
For each step, distinguish the model's suggestion from the action the surrounding software takes. A human reviewer is only a meaningful control if the person has the information, authority and time to disagree. A screen labelled “review” does not establish any of those conditions.
Bring a claims operations lead and someone responsible for customer complaints into the same discussion. Technology procurement can then test whether the proposed service contract supports the workflow those teams actually need.
Prepare a redacted case with an exception
Ask the host to choose a case that can lawfully be discussed, or prepare a synthetic case together. Include a missing document, a conflicting field or a customer challenge. The exception makes handoffs visible without asking anyone to expose confidential customer data.
| Stage | Request a demonstration of | Record for your own organisation |
|---|---|---|
| Intake | What happens when a required field is missing | Which team contacts the customer and tracks the response |
| Model recommendation | The information used and uncertainty shown to a handler | What evidence a handler needs before acting |
| Human review | How the handler changes or rejects a recommendation | Who has decision authority and how overrides are recorded |
| Customer challenge | How the case is reopened and explained | Whether the explanation and complaint route remain accessible |
| Supplier incident | The fallback when a service or model is unavailable | Who can suspend automation and restore manual work |
If the demonstration only contains successful cases, record exception handling as untested. Avoid translating a smooth presentation into an assumption that the same process is dependable under operational pressure.
Compare outcomes using the same case mix
An illustrative delegation exercise is to compare two anonymised batches with similar claim types: one handled with the proposed assistance and one through the existing process. Ask the operations team to define the comparison and identify differences in complexity before interpreting results.
Consider elapsed handling time alongside reopened cases, complaints, handler overrides and work passed to another team. The exercise may reveal that a faster intake screen simply moves work downstream. No universal target is proposed here: the appropriate measures depend on the policy, customer population and role of the model.
For an international delegation, repeat the exercise with forms and terminology from the intended destination market. A workflow observed in China should become a testable hypothesis for that market, with local insurance, privacy and consumer-protection requirements assessed separately.
Use supervisory guidance with the right scope
The IAIS published its Application Paper on the supervision of artificial intelligence on 2 July 2025. Its application papers explain how existing supervisory material can be applied; they do not create new requirements. Treat this as a reference for a supervisory discussion, not proof that a vendor complies with a particular country's rules.
Turn the visit into a follow-up decision
Leave with one workflow diagram, an exception record and a list of evidence still required. Agree whether the next step is a limited evaluation, further investigation or stopping the assessment. Assign an owner for the decision rather than leaving all follow-up with the vendor.
Our financial-services immersion and industry deep-dive program can be shaped around claims, underwriting or service operations, subject to confirmed host access and confidentiality arrangements.