A common mistake is digitising old processes without removing the friction that made them slow in the first place. Teams often keep too many approvals, unclear instructions, and language that customers cannot easily follow. Another error is assuming convenience alone creates trust. Claims and onboarding still need transparency, simple steps, and service design that matches how people actually buy and use insurance.
Why modernisation fails when insurers only automate the old journey
Claims and policy journeys are not just transaction flows. They are trust-building moments, and they expose whether an insurer can explain decisions, capture data accurately, and move customers through the process without unnecessary effort. When modernisation stops at digitising forms or adding a portal layer, the organisation keeps the same delays, handoffs, and ambiguity that originally damaged the experience. That creates a gap between what the business promises and what the customer can actually complete.
One reason this matters is that customers judge the entire relationship on a few high-friction interactions, especially claims, renewals, and onboarding. If those journeys still require repeated data entry, opaque status updates, or inconsistent guidance, the digital channel becomes a wrapper around the same operational weakness. In practice, many insurers discover that the real problem is not technology adoption but unresolved process debt that was simply moved into a new interface.
For a broad control lens on governance, resilience, and service continuity, the NIST Cybersecurity Framework 2.0 provides a useful benchmark for aligning modernisation with operational discipline rather than convenience alone. In practice, many insurers discover the failure only after customers begin abandoning digital journeys halfway through, rather than during the design phase.
What a workable claims and policy journey redesign actually changes
Effective modernisation starts with journey design, not system replacement. The insurer has to map where a customer, broker, adjuster, or underwriter needs to make a decision, provide evidence, or wait for confirmation, then remove unnecessary friction at those points. That means simplifying language, reducing duplicate data collection, and designing status visibility so people know what happens next. It also means recognising that claims and policy changes are different problems: claims need clarity, evidence handling, and progress transparency, while policy journeys need accurate disclosures, eligibility checks, and clear consent or acceptance steps.
In practice, modernisation usually succeeds only when the workflow is rebuilt around the smallest number of decisions required to complete the task. A claims journey should not force policyholders to understand internal departmental boundaries, and a policy journey should not force a customer to repeat identity or contact details that the business already holds. The same applies to internal operations: if underwriting, fraud review, servicing, and claims each create their own isolated checkpoints, the digital experience will feel fragmented even if the front end looks polished.
Insurers also need to treat automation as a control problem, not just a speed problem. Straight-through processing can be valuable, but only when the underlying rules are stable, the data inputs are reliable, and exceptions are clearly routed to a human owner. If the process is ambiguous or the data is poor, automation often scales confusion faster than it scales service quality. A NIST Cybersecurity Framework 2.0 perspective is useful here because it pushes teams to connect journey redesign with governance, oversight, and recovery discipline rather than isolated digitisation efforts.
- Remove duplicate handoffs before adding new digital steps.
- Design customer language so non-specialists can complete the journey without calling support.
- Preserve a clear exception path where automation cannot confidently resolve the case.
Where this guidance breaks down is when the insurer cannot standardise core data, decision rules, or ownership across products and channels.
Where claims and policy journeys become brittle in real-world insurance operations
Tighter automation often increases dependency on data quality and workflow discipline, requiring insurers to balance faster service against a higher risk of scaling bad inputs. That tradeoff is easy to miss because a new portal can look successful while still hiding a weak operational model underneath it.
Common edge cases include complex claims with multiple parties, documents, or jurisdictional requirements, and policy journeys that involve referrals, medical evidence, broker intermediation, or manual underwriting review. In those situations, “digital-first” does not mean “fully automated.” It means the customer should still see a coherent journey even when the back office must pause, validate, or escalate. Teams also underestimate the difference between convenience and confidence: a fast process that feels opaque can reduce trust, especially when a claim outcome or policy decision is sensitive.
There is also a governance issue in the industry’s definition of modernisation. Some insurers measure success by channel adoption or portal usage, which is not the same as journey quality. Better measures are completion rate, avoidable contact, exception frequency, rework, and the clarity of status communication. Where the process depends on exceptions, the organisation should treat those exceptions as a designed part of the service, not as noise to be hidden. The strongest implementations do not try to eliminate human judgement; they make judgement visible, bounded, and explainable.
Practitioner takeaway: The most important decision is whether the insurer is redesigning the journey or merely digitising the legacy workflow, because only the former reduces friction without turning operational complexity into a customer-facing problem.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and CIS Controls v8 set the technical controls, while ISO/IEC 42001:2023 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV — Governance | Claims modernisation needs accountable service governance and decision ownership. |
| ID — Identify | Journey redesign depends on understanding process debt, dependencies, and customer-facing friction. | |
| PR — Protect | Modernised journeys need controlled data handling, access, and workflow integrity. | |
| Recommendation — Define ownership and oversight for journey redesign so automation supports business accountability. Map claims and policy dependencies before changing workflows so hidden friction is exposed. Apply access and process controls so digital journeys do not weaken data integrity or service quality. | ||
| CIS Controls v8 | 14 — Security Awareness and Skills Training | Teams often mis-handle customer-facing clarity and exception handling during redesign. |
| 16 — Application Software Security | Policy and claims platforms need trustworthy workflow logic and validation. | |
| Recommendation — Train service and operations teams to recognise where unclear journeys create avoidable friction. Validate workflow logic and inputs so automation does not scale errors across the journey. | ||
| ISO/IEC 42001:2023 | GOVERN — AI governance and accountability | Where insurers use AI in triage or customer support, governance must keep decisions explainable. |
| Recommendation — Set governance for any AI-assisted journey steps so decisions remain accountable and explainable. | ||
Practitioner Guidance
What to prioritise: Start by identifying the three or four points where customers most often stall, repeat information, or seek clarification. Those points usually reveal more about journey quality than the overall platform architecture does.
What to verify: Confirm that every automated step has a clear ownership path for exceptions, complaints, and manual review. If a team cannot explain who resolves the edge case, the journey is not truly modernised.
What practitioners underestimate: The biggest failure mode is not lack of digital tooling, but inconsistent service logic across products, channels, and business units. If the wording, status updates, or approval rules change from journey to journey, customers experience the insurer as unreliable even when the underlying systems are efficient.
Practitioner takeaway: Modernisation is credible only when it reduces friction while preserving clarity, accountability, and human fallback for the cases that cannot be straight-through processed.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 8, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
