Request management
Insurers are not in control of where the broker requests arrive and the format of those requests. Intake channels contain a distribution of request types and scarce capacity is absorbed identifying the nature of each request and how it should be decisioned. To effectively manage the variation of broker requests from new business submissions, mid-term adjustments, renewals packs and others, insurers need to automatically identify different request types and move them to dedicated risk digitization flows. This enables them to fulfil schemas that are fitted to each specific transaction type which control how the request is digitized, evaluated and decisioned according to complexity and other business objectives. The Cytora platform comes with out-of-the-box request classification and request schemas which enable insurers to digitize across all request types.
Insurance specific
Cytora provides pre-trained schemas across all workflows within Commercial P&C and Specialty. Insurers can jumpstart deployments with preconfigured schemas across all request types enabling them to scale digitization faster across diverse lines of business and countries. Each request type schema can be easily refined and expanded to speed up the testing and operationalisation of new data fields across different data sources.
Granular differentiation
Multi-level hierarchy
Cytora enables insurers to create multi-level hierarchies that enhance the granularity of their risk differentiation. Cytora supports two-level hierarchies including parent-level categorisation and child sub-categorisation. This enables insurers to finely segment risk and optimise the effectiveness of their workflows.
LLM powered
Zero-shot training
Zero-shot tuning enables insurers to configure new request types with zero training data. Zero-shot enables insurers to go live with new request types, reducing the upfront costs of deploying new workflows.
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We are investing in digital capabilities to unlock scalable growth, Cytora enable us to streamline key workflows enhancing efficiency and effectiveness and further developing how we use data to drive decision making across the group and accelerating our profitable growth.”
Chief Operating Officer
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