Hi and welcome. In this video, we will explore how the input process inside order begins. We will examine the components of the input process, highlighting the role each plays in digital risk flows, digital risk processing streamlines the digitization of risk data, turning the incoming submissions into decision ready without the need for intervention from underwriters or claims handlers.

The Cytora platform supports diverse risk submissions, including new business renewals, adjustments and claims. Before we examine the input process in detail, let's first define each concept found within the digital risk process source. A source is anything or anyone submitting a risk information. For example, a new business submission from a broker, evidence of damage from a client, a police report, or files from a hospital submission. A submission is any type of file ranging from, but not limited to emails, ethanols loss reports, claims reports, photographs, police and hospital reports. Cytora collects these submissions, digitises them, and makes some decision-ready for an underwriter to quote, or a claims handler to adjudicate a claim. For example, there are several different submission types that insurers can receive. For example, new business renewals, MTAs and claims sartor offers configurable multi-step digitization flows where risk submissions are turned into decision ready, evaluated against different business rules and root for decisioning.

There are four types of data that are typically being used for processing of any submission. There is of course, the submission data, but also we have the internal, external, and inferred data. Internal data is used to give context to the submission, for example, to determine whether the company has any existing policies in place to control risk accumulation and enable cross sell, and to place a submission in the context of the current enforce portfolio. Examples of internal data include broker lists, segmentation, or enforce customer and portfolio data. External data sources are used to augment the risk information available in the submission,making it more comprehensive or granular. These data sources can come from external companies and are integrated via API, for instance, in property insurance. Data sources including imperil scores for wind, fire, flood,or subsidence are essential for precise understanding of a property risk exposure. In liability.

Data sources include business activity information in aviation external data sources give information about the aircraft parts and the cost of replacement. Integrating these data sources upfront make risks decision ready without underwriters needing to do the manual lookups, which fragments a workflow, and they can visualise this data in aggregated views with graphs and charts.Inferred data refers to information that's derived from existing data sources rather than being directly provided or explicitly stated.It involves making informed assumptions or conclusions based on available data, and can provide additional insights or context that may not be immediately evident from the raw data alone evaluation. In addition to digitising the risks submission, the platform evaluates risks against different business rules, including risk appetite, portfolio strategy, straight through processing thresholds, and other configurable rules, enabling risks to be processed differently through end-to-end workflows. Providing control over target portfolio shape matching risks to different segments enables risks to be processed differently through end-to-end workflows providing control over the target portfolio shape. This enables insurers to evaluate risks more effectively by applying unique rules set up for diverse data fields.

Moreover, the platform adopts architectural principles and tools that facilitate data engineering, ensuring the integrity and reliability of the underlying data infrastructure destination.The destination of a submission could be claims handlers, underwriting teams, CRMs, administration systems, customers, in which case straight through processing and so on. Let's now look at how the input process would happen. For example, for a new business submission delivery, any source sends a submission to the Cytora platform,which is classified according to the submission type,then digitised and turned decision ready according to the target schema then moved to the destination for decisioning, but it goes far beyond what's in the risk or the claim submission. Digital risk processing also digitises and combines the many internal and external data sources required to make submission decisions across all lines of business. This enables insurers to accelerate competitive differentiation.

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