When insurers pursue blockchain without a clear use case, the result is often conceptual enthusiasm without operational value. The article suggests blockchain can reduce administrative cost for KYC, fraud, and verification, but also warns that industry-wide collaboration is hard. The practical test is whether a single insurer can solve a concrete workflow problem before attempting broader ecosystem coordination.
Why Blockchain Fails When the Problem Is Still Undefined
Blockchain only adds value when the parties, data, and verification steps are already clear enough to justify a shared ledger or shared trust layer. In insurance, that means the underlying workflow has to be concrete: who verifies what, which records must be shared, and why a distributed record is better than a normal database or signed exchange.
When that clarity is missing, the project becomes a technology search for a problem. The result is often a proof of concept that looks modern but does not reduce friction, remove duplication, or improve trust in a measurable way.
The practical test is whether one insurer can solve a bounded workflow first, then decide whether broader multi-party coordination is actually needed. If the answer is no, blockchain is usually adding coordination overhead rather than operational value.
Why KYC and Verification Use Cases Need More Than Shared Trust
KYC and verification can sound like natural blockchain use case because they involve repeated checks, document exchange, and multiple parties. In practice, those processes usually fail for business reasons before they fail for technical reasons: inconsistent data standards, different legal obligations, unclear ownership of verification, and limited willingness to rely on another party’s assertions.
That is why the strongest blockchain candidates in insurance are narrow and specific, such as a repeatable claim or onboarding step where shared verification reduces duplicate effort. If the value depends on broad ecosystem adoption, the project is exposed to slow alignment, uneven participation, and weak network effects.
For trust-heavy workflows, the question is not whether a ledger can record shared state. It is whether the shared state is authoritative, accepted by all participants, and cheaper to maintain than the current trust and control model.
What Good Looks Like Before You Introduce Distributed Ledger Coordination
A realistic use case should show clear workflow boundaries, a known set of participants, and a defined trust problem that cannot be handled well by ordinary integration, signed attestations, or existing identity and record systems. If the insurer cannot explain the decision points, failure modes, and ownership model in plain terms, the blockchain layer is premature.
Good candidates usually have one or more of these traits: repeated reconciliation, high duplication cost, a need for shared auditability, or a verification step that benefits from tamper-evident history. Even then, adoption should start with a single insurer or tightly scoped consortium problem before expanding outward.
That sequence matters because the cost of collaboration rises quickly when each participant expects the others to change process, governance, and data standards at the same time.
Risk and Threat Considerations
In insurance, the main risk is not that blockchain is insecure by default, but that it creates a false sense of trust while the underlying business process remains unresolved. That can lead to sunk cost, integration sprawl, and a system that is harder to govern than the manual workflow it replaced.
Failure mechanism: The initiative starts from an abstract trust narrative instead of a concrete workflow, so participants build shared infrastructure without agreeing on authority, data quality, or operational ownership.
Impact: The insurer ends up with added complexity, limited adoption, and little or no measurable reduction in fraud, duplicate KYC effort, or verification cost.
Practitioner Guidance
What to verify: Confirm that the use case has a measurable pain point, a bounded participant set, and a trust gap that cannot be solved more simply with conventional integration, attestations, or a central database.
Decision rule: If one insurer cannot prove value in a single workflow, treat ecosystem-wide blockchain plans as exploratory only, not as a production design target.
What good looks like: The chosen workflow reduces duplicate checks, shortens verification time, or improves auditability without requiring every participant to re-architect their systems at once.
Practitioner takeaway: Blockchain is justified by a specific coordination problem, not by a general desire to modernize trust, and in insurance the absence of a concrete use case is usually the strongest signal to stop.
Related resources from NHI Mgmt Group
- What happens when organisations try to use zero trust without changing access control first?
- What happens when companies try to achieve compliance without adapting their processes?
- What happens when developers use shadow IT without secure secrets management?
- How should security teams use identity verification without overstating trust?
