Case study · From the Pluris libraryReceipt no. 0486
What sucked
LPs were overwhelmed by extensive data-room documents across multiple formats during due diligence, and the fund team spent significant time fielding repetitive questions with no efficient way for LPs to locate specific information.
What they built
PressW built a custom AI chatbot for a venture capital firm, fine-tuned on financial language and embedded directly inside the firm's existing FIS DX data room. It answers prospective LPs' questions about fund documents, links every answer back to the source document, and automatically suggests relevant follow-up questions.
What changed
60+ Hours Saved Per Month
The fundraising team reclaimed 60+ hours a month previously spent answering repetitive LP questions.
Seamless Data Room Integration
The assistant runs inside the existing FIS DX data room with links back to source documents.
A New LP Engagement Channel
LPs get on-demand answers during diligence, creating a new, trackable engagement channel for the firm.
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