Topic starter
08/07/2026 7:08 pm
TL;DR: Insurance transformation is being pushed by pandemic-era digitisation, cost pressure, and regulatory demands, while legacy systems, fragmented data, and ad hoc overlays keep increasing complexity and slowing change, according to Comarch. The real issue is not whether to transform, but whether insurers can replace brittle operating models with a flexible environment that supports future change.
Editorial analysis by NHI Mgmt Group, based on content published by Comarch: “Digital Transformation Strategy in Insurance”.
By the numbers:
- Highly digital insurance agencies develop on average 70% faster than other agencies, according to a report cited by Comarch.
Key questions
Q: How should insurers approach legacy system replacement during transformation?
A: Treat replacement as a business and governance programme, not a pure IT refresh.
Q: Why do ad hoc overlays keep making insurance transformation harder?
A: They add another layer of logic on top of an already brittle core, which increases integration complexity, creates inconsistent rules, and leaves manual reconciliation in place.
Q: What signs show that an insurer’s transformation programme is stuck in patchwork mode?
A: Look for growing numbers of disconnected systems, repeated manual work, duplicated data definitions, and change requests that require workarounds instead of platform updates.
Practitioner guidance
- Define a legacy replacement roadmap Inventory core systems, overlays, manual workarounds, and duplicated data paths, then classify which components can be retired, re-platformed, or isolated while change is underway.
- Standardise data contracts across channels Create a governed data model and enforce consistent API definitions so sales, service, and back-office processes use the same authoritative fields and state transitions.
- Separate temporary overlays from target-state controls Document which overlays are transitional and set explicit exit criteria, because permanent overlays usually create more integration points than they remove.
Bottom line: Legacy insurance transformation is being driven by market pressure, digitisation, and regulation, not by optional innovation cycles.
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08/07/2026 7:32 pm
Legacy replacement is now a governance problem, not a technology preference. The article is right to frame transformation as unavoidable, because insurers that delay replacement end up governing business change through systems that were never designed for it. That creates rising exception handling, more manual reconciliation, and weaker visibility into who can change what. The practitioner lesson is that the architecture itself becomes part of the control problem, not just the delivery problem.
A question worth separating out:
Q: Should insurers prioritise cloud adoption or process redesign first?
A: Neither should be treated as independent. Cloud adoption can support flexibility, but if the operating model remains unchanged, the insurer simply recreates legacy constraints in a different environment. The right sequence is to redesign the control model alongside the infrastructure plan.
👉 Read our full editorial: Insurance transformation is forcing legacy system replacement