Discover how a global investment leader transformed fragmented data into a single, AI-driven knowledge hub – boosting deal quality, cutting duplication, and surfacing the right experts at the right time.
The company faced a range of knowledge-management challenges: critical contacts, research, and past deals were siloed across disparate systems; inconsistent user interfaces made information retrieval clunky and slow; and teams often duplicated efforts – wasting both time and budget. Without a centralized, curated source of truth, there was no easy way to validate what mattered most, and relationships with external advisors were obscured by a lack of visibility into who had spoken with whom.
Ready to see the full story?
Fill out the form to access the detailed case study.