No-Code Digitization
No-Code Digitization
Digitize end to end risk flows
To unlock business value, insurers need to digitize end-to-end risk workflows at a level of granularity that enables them to process risks differently according to their fit with the target portfolio shape. Understanding the risk attractiveness before absorbing underwriting capacity enables insurers to outperform in service levels, optimize the effectiveness of risk workflows and over time fully decouple premium growth from expense growth. At the heart of turning risk submissions decision-ready is the ability to automatically digitize and combine together internal, external, inferred and submission data sources so that risk flows end to end through business processes. Cytora digitizes the risk submission, extracting data from the broker submission and augmenting with internal, external and inferred data sources to fulfil the target schema.
Data orchestration
Go beyond broker submission data
The granularity of data needed is only achieved when four different types of data are combined – submission data, internal and external data sources and inferred data - which need to be operationalised across multiple steps in a workflow. Relying only on data extracted from the broker submission results in ineffective workflows that do not situate risk in context, are incapable of discerning appetite fit, prioritisation, complexity or cross-sell potential and result in incomplete risks that are not ready for decision-making.
Conditional flows
Risk flows which treat risk differently
Cytora enables powerful conditionality to be encoded through an intuitive interface that enables risk flows to be triggered in the event of field values. For example, when data is incomplete, risks can receive further data augmentation to evaluate their fit, out of appetite risks can be receive less comprehensive data augmentation from third party sources to balance data usage with value generation, and risks with lower confidence field values can be directed for quality control.
Schema driven intervention
Balance speed, accuracy and expertise objectives
To balance speed, accuracy and expertise objectives, users can specify what fields should be automatically fulfilled, validated or completed through input from risk professionals. Fields where judgement is required can be flagged for review or completion through administration teams to balance automation and accuracy objectives.
What our customers say
“
Cytora will enable us to grow our scale across our specialist markets, embed and reinforce a data-driven culture and empower our underwriters to provide better service to customers and brokers.”
Commercial Director
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Automate your data orchestration with Cytora
