Fignum partners with Sikoia to automate document processing for lenders

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A new integration aims to reduce manual workloads and speed up decision-making across mortgage finance.

Fignum has partnered with Sikoia to integrate AI-driven document processing and verification capabilities into its platform, in a move designed to streamline case handling for lenders.

The collaboration will see Sikoia’s technology embedded within Fignum’s system, enabling lenders to automate key elements of document review and verification that have traditionally required manual input.

The firms said the integration will allow lenders operating across mortgage and automotive finance to process applications more quickly, with tasks that previously took hours now completed in minutes.

The platform is designed to verify document authenticity, detect potential tampering and assess whether submitted documentation meets individual lender policy requirements.

Alexis Rog, founder and chief executive at Sikoia, said: “Partnering with Fignum allows us to bring powerful automation directly into the workflows lenders already rely on, helping them reduce manual workloads and deliver faster decisions for customers.”

Through the integration, lenders will be able to automate processes including income verification, employer identification and affordability assessments using documents such as payslips, bank statements and tax returns.

The firms claim the technology can reduce document handling costs and processing times by more than 75%, while also identifying missing documentation and verifying key data points automatically.

They added that document analysis errors can be reduced to below 1%, improving overall application accuracy.

Andrew Lloyd, chief executive at Fignum, said: “Providing lenders with smarter, more efficient tools is central to our client strategy. Integrating Sikoia’s AI-driven document processing capabilities means our clients can automate time-consuming verification tasks while maintaining the high levels of accuracy and compliance required in both mortgage and automotive lending.”

The partnership reflects a broader trend within the lending market towards automation and the use of AI to improve operational efficiency, particularly in areas such as onboarding and application processing.

Both companies said the integration would support lenders and fintech platforms seeking to modernise their processes while maintaining regulatory standards.

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