How NimbusCloud transformed their RFP workflow with Quova
The Challenge
NimbusCloud's 5-person SE team was handling over 200 RFPs per year, with each response averaging 120 questions. The team spent roughly 30 hours per RFP copying answers from old proposals scattered across Google Drive, Confluence, and Slack threads. Response quality was inconsistent — different SEs gave different answers to the same security questions, and outdated compliance information slipped through regularly. Two deals worth $400K were lost in Q3 2025 after reviewers flagged contradictory answers in the same proposal.
The Solution
NimbusCloud uploaded 18 months of past RFP responses into Quova's knowledge base — 1,200+ Q&A pairs across security, compliance, technical architecture, and company information. Within the first week, the AI matching engine was auto-filling 78% of incoming questions with contextually adapted answers sourced from their best previous responses. The team established a weekly review cadence where one SE spent 30 minutes verifying and approving high-confidence matches, while the rest focused only on new or low-confidence questions.
We went from dreading RFP season to actually being proactive about it. Last quarter we responded to 40% more RFPs than the previous quarter with the same team. Quova didn't just save time — it let us compete for deals we used to pass on.
Before & After
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