Data Action Layer July 14, 2025
Private markets and alternative investing involve managing large volumes of unstructured data from documents with varying formats, including capital notices, capital account statements, schedules of investments, quarterly reports, loan agent notices, financial statements, and Confidential Information Memorandums (CIMs). Each of these contains critical data that must be processed quickly. If your operations team is manually handling these documents, they could be spending thousands of hours each year on data entry, validation, reconciliation, and tracking. These manual workflows not only consume valuable time but also introduce additional risks to your firm. The faster incoming documents are processed, the sooner they can trigger downstream workflows and keep your portfolio updated. AI-powered software automates this process, expediting data handling. Implementing software that automates your private markets workflows on a single platform will transform your firm’s data operations.
Automating document ingestion and data processing for your private markets workflows will save your team valuable time spent on manual data entry. What other impacts will it have on your firm?
Automated workflows, particularly those utilizing AI and machine learning, can enable your firm to streamline document ingestion and processing across document types, regardless of format or fund. With a platform that leverages AI to manage multiple document types, you can automate all your data workflows in private markets. At Alkymi, we built our platform to scale across your lines of business and automate multiple workflows in one end-to-end solution.
Interested in learning more about how Alkymi can automate your data workflows? Request a demo.
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