Reduce repetition by changing how due diligence data is managed
A more efficient process starts with a centralized manager record that holds the latest approved information, previous responses, supporting documents, findings and review history in one place, rather than treating each questionnaire or file as a separate record.
Instead of leaving answers buried inside PDFs, spreadsheets or completed questionnaires, individual data points can be organized, updated and reused across manager and fund profiles.
Keeping data separate from the structure of a particular questionnaire also helps prevent the Year 2 Problem, where changes to a questionnaire can disrupt the reports, dashboards and integrations that depend on it.
Within Dasseti COLLECT, AI can reduce the manual admin required to build and maintain these centralized records. Our AI assistant, Sidekick, can extract defined information from DDQs, policies and other manager documents with source references, prefill fields, and flag missing or inconsistent responses for analyst review. Validation rules can also help identify formatting errors, incomplete submissions and unexpected changes before they move further through the process.
This gives each new review a reliable starting point and a clearer source of truth. Teams can see what is already known, when it was last updated and where it came from, without manually gathering information from multiple systems. Structured data can then be reused in questionnaires, comparisons, dashboards and reports, as well as flow into connected CRM platforms without repeated re-entry.