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Case study · From the Pluris libraryReceipt no. 6006
What sucked

A global FinTech company with geographically distributed teams was losing competitive ground due to a broken RFP response process.

Siloed knowledge held by individual stakeholders across Bulgaria and London created significant communication latency. Responses were slow, generic, and inconsistent, taking 38+ hours to produce. The risk: losing enterprise deals to competitors able to respond faster and more compellingly to procurement requests.

Financial ServicesSales & Revenue4–8 weeks
What they built

The Grin Labs built a custom knowledge database centralizing the FinTech company's institutional expertise and configured Custom GPTs governed by the firm's own rulesets, replacing siloed expert routing with a unified knowledge layer that generates tailored, contextually relevant RFP responses.

What changed
RFP Response Time Cut by 75%+

Response time dropped from 38+ hours to 8–12 hours, a 70–80% reduction, eliminating dependency on key-person availability across time zones.

Best-in-Class Output Quality (Self-Reported)

Client team described AI-assisted RFP responses as 'one of the best RFPs we've ever responded to', a qualitative leap from prior outputs that were slow and generic.

Institutional Knowledge Centralized Across Geographies

Knowledge previously siloed across stakeholders in Bulgaria and London consolidated into a single AI-accessible layer, eliminating timezone and communication latency from the proposal process.

Time to results
4–8 weeks
Company size
1,001-5,000 people
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Who did it
Carl Miller
Co-Founder, The Grin Labs

Vetted by Pluris.