Industry: Asset Management & Financial Research Firms
A global investment firm managing over $40 billion faced a common problem: research analysts spent the majority of their time gathering data from Bloomberg, S&P Global, Moody's, expert transcripts, and policy reports instead of performing the strategic analysis that actually drives alpha. Hours of manual retrieval consumed capacity that could be spent building investment theses.
SoftSnow designed a multi-tool AI infrastructure anchored around SharePoint as a central knowledge base. We evaluated financial point solutions, AI orchestration platforms, and document intelligence tools to automate retrieval and summarization across the firm's research ecosystem. The implementation blueprint included data structuring and governance frameworks, a platform evaluation matrix, finance-specific prompting best practices, and a phased rollout roadmap.
The result:
- Document review time dropped from 4 hours to 30 minutes, an 87.5% reduction with AI agents handling the heavy lifting.
- Agents now transform 40-page audit documents into 3-page summaries and build research reports that previously took 4-7 days in minutes.
- Analysts now spend their time synthesizing comprehensive insights, building differentiated investment views, and making strategic recommendations; the work that generates alpha.
By mastering AI-assisted workflows, analysts became the most effective talent in the sector: upskilled to focus on what actually differentiates research.
Want to explore how AI data readiness could transform your research operations? Let's talk about your specific challenges.
