We need a fullstack developer for developing the new AI agent.
Its customers include financial institutions, BPOs (business process outsourcers), and CFOs and Controllers within large-midsized companies. The company’s market-leading technology automates clerical tasks that still require manual effort. Its solutions elevate teams to focus on higher-impact activities. New AI assistant delivers efficiencies, intelligence, and new value from financial document automation.
While consumer financial systems have transitioned to digital technologies, business-to-business processes still remain primarily stuck in analog mode. B2B relies on paper documents, emails, and PDF images for communications and transactions between buyers, sellers, and third parties. These formats require human intervention in numerous tasks. They include data entry, reconciliations, verification, QA, approvals, custom spreadsheets, fraud screening, and compliance. Human involvement drives up errors and omissions, increases operating costs, and leaves significant value on the table.
Unlike Generative AI and legacy technology like OCR and RPA, AI is designed specifically for financial document processing. Its focus is understanding financial document data to derive intelligence, validate results, and automate workflows. These processes include reconciliation, account coding, compliance, cash flow management, and payments.
Who has experience with building this type of AI assistant.
Let's discuss. https://www.linkedin.com/in/juan-s-ruiz-genai/
Its customers include financial institutions, BPOs (business process outsourcers), and CFOs and Controllers within large-midsized companies. The company’s market-leading technology automates clerical tasks that still require manual effort. Its solutions elevate teams to focus on higher-impact activities. New AI assistant delivers efficiencies, intelligence, and new value from financial document automation.
While consumer financial systems have transitioned to digital technologies, business-to-business processes still remain primarily stuck in analog mode. B2B relies on paper documents, emails, and PDF images for communications and transactions between buyers, sellers, and third parties. These formats require human intervention in numerous tasks. They include data entry, reconciliations, verification, QA, approvals, custom spreadsheets, fraud screening, and compliance. Human involvement drives up errors and omissions, increases operating costs, and leaves significant value on the table.
Unlike Generative AI and legacy technology like OCR and RPA, AI is designed specifically for financial document processing. Its focus is understanding financial document data to derive intelligence, validate results, and automate workflows. These processes include reconciliation, account coding, compliance, cash flow management, and payments.
Who has experience with building this type of AI assistant.
Let's discuss. https://www.linkedin.com/in/juan-s-ruiz-genai/
