Insurance migration methodology, industry trends, and lessons from real PAS migrations.
Just as hydraulic fracturing made previously unviable oil reserves economically extractable, AI-powered migration tooling is changing the unit economics of PAS migration – making books that were too small to justify migration suddenly viable. Here is what that shift looks like in practice.
In H2 2025, we migrated an agricultural specialist insurer off a completely undocumented black-box legacy PAS. No documentation, no vendor support, no data dictionary. Here's what we learned – and how it's shaping KeystoneMigrate.
Every insurer we spoke to had the same story: a migration programme that cost too much, took too long, and still didn't deliver the evidence the board needed. We built KeystoneMigrate because we lived that problem from both sides of the table – and nobody else was solving the root cause.
The methodology we built after years of watching insurance migrations fail for the same structural reasons. Three phases that turn migration risk into auditable evidence – drawn from real engagements where we achieved 96% source-to-target data mapping from completely undocumented systems.
The insurance industry has a migration problem. Not because insurers lack technical talent – but because PAS migrations are treated like enterprise IT projects when they're actually regulatory and actuarial exercises. We lived this on a 1M+ policy migration that consumed three years and eight figures before anyone admitted the methodology was wrong.
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