Insurance
Advisory programmes that help insurers identify where AI has a quantifiable impact on loss ratio, expense ratio, and retention — and build the business case to act.
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Response time
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Projects delivered
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Years in production
Industry overview
Structured advisory engagements that help insurance organisations identify, prioritise, and build the business case for AI investments — from use-case discovery through to proof-of-concept and implementation roadmap.
At a glance
Most insurers have AI pilots that never reach production — usually because the use case was chosen for technical interest rather than commercial impact, or because the data infrastructure was not ready to support it. ArrayMatic consults on the business case first, then works backwards to what is technically required.
We run a structured discovery programme across claims, underwriting, operations, and distribution to identify AI use cases. Each is scored against loss ratio and expense ratio impact, implementation complexity, and regulatory risk. We then build detailed business cases for the top candidates and create a phased implementation roadmap. For approved initiatives, we can move directly from consulting into delivery — or support internal teams through knowledge transfer.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to insurance clients.
AI innovation roadmap development and use-case scoring
Loss ratio and expense ratio impact modelling per use case
Proof-of-concept scoping and data readiness assessment
InsurTech vendor evaluation and integration strategy
Organisational AI readiness and capability gap assessment
Regulatory risk review for proposed AI applications
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