Fintech Research Firm
Explore Project
Accessibility, modular design
Core Capacities
Accessible donations
Project Focus
August 2025
Year
Overview
1
The firm’s analysts managed large volumes of financial data and market commentary, often requiring manual synthesis into client-ready reports. This process was resource-intensive and left little room for innovation. The company needed a way to evaluate retrieval, prompting, and model strategies to ensure that AI-driven outputs were both dependable and aligned with analyst expertise.
2
Sierra embedded forward-deployed engineers directly with the research team to deeply understand their credit analysis workflow. Together, they explored retrieval-augmented generation (RAG), prompt optimization, and model comparisons to test how AI could support analysts in generating more reliable insights.
3
• Conducted workflow shadowing with credit analysts to capture key friction points. • Evaluated multiple LLMs and retrieval frameworks against accuracy benchmarks. • Designed tailored prompting strategies to reduce variance and hallucination in outputs. • Built prototype pipelines that integrated into the team’s existing research process.
4
The collaboration produced more dependable and accurate reports, giving analysts confidence that AI could enhance their expertise rather than replace it. By pairing subject matter depth with forward-deployed engineering, Sierra created a path for the firm to modernize its research workflows while maintaining the trust and precision demanded by financial clients.
