A risk intelligence platform that eliminates manual research by allowing underwriters to enter a property address and instantly generate a comprehensive risk assessment, with results automatically synchronised to Salesforce.
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About the Client: A US-based SME in the green energy lending sector, providing underwriting support for lending decisions. Underwriters relied on manually collecting risk data from multiple third-party sources, creating a time-consuming and error-prone process that reduced assessment capacity and constrained business growth.
Insurance underwriters were required to gather risk data manually from multiple third-party platforms for every lending application. This fragmented and time-intensive process increased the risk of human error, created operational inefficiencies, and limited the number of assessments the business could complete at scale.
Risk data collection was entirely manual, with underwriters gathering information from multiple external sources, consolidating findings manually, and preparing risk assessments without any integrated systems, automation, or centralised platform.
A custom data integration platform that enables underwriters to enter a property address and instantly generate a consolidated risk assessment, automatically aggregating data from multiple third-party sources and syncing results directly to Salesforce.
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Retrieving data from multiple third-party providers simultaneously - each with varying response times and API behaviours - required a parallel processing architecture capable of consolidating results into a single risk assessment quickly enough to support underwriters working under tight deadlines.
Managing sensitive lending and property risk data, alongside direct Salesforce integration, required robust access controls and secure API communication across all third-party connections to maintain data integrity, confidentiality, and system security throughout the assessment process.
As underwriting demand increased, the platform needed to support multiple concurrent assessment requests, each triggering parallel data retrieval from various sources, without introducing delays, bottlenecks, or performance degradation for end users.
Integrating multiple third-party risk data providers - each with unique API structures, authentication methods, data formats, and reliability levels - required a robust integration layer capable of normalising disparate data into a unified risk assessment model. The addition of Salesforce CRM synchronisation introduced further complexity, demanding accurate data mapping, validation, and resilient error-handling mechanisms.
We developed a custom data integration platform that transforms a complex risk assessment process into a single-step workflow. Underwriters simply enter a property address, and the platform automatically handles the entire data collection process.
In the background, the system simultaneously connects with multiple third-party data providers to gather environmental, geographic, structural, and lending risk information. The collected data is standardised, analysed, and consolidated into a comprehensive risk assessment report, eliminating the need for manual research, multiple tools, or repetitive data entry.
Once the assessment is generated, the platform automatically synchronises the results with the relevant Salesforce customer record, ensuring CRM data remains accurate and up to date.
The solution significantly improved operational efficiency by reducing assessment times from hours to seconds, enabling underwriters to complete more evaluations, improve accuracy, and streamline their daily workflow.
Multi-parameter risk reports generated in seconds vs. manual hours
Automated data gathering eliminated manual collection mistakes
Significantly more assessments completed per day per underwriter
Salesforce records updated automatically with zero additional data entry
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