Publicis Sapient worked with the firm to build an accessible knowledge foundation, powered by AI, that gives both people and AI agents the context they need to make faster, more informed investment decisions.
Using retrieval-augmented generation (RAG), the intelligence platform connected enterprise documents and databases through a single, natural-language chat interface. Automated document classification and redaction protected sensitive information, while advanced search techniques and structured prompts improved the results’ relevance and accuracy.
The platform also acted as an orchestration system, coordinating specialized agents and supplying each with the right context to work together and produce trustworthy answers. One agent could identify the data needed for a business question, while another could locate the right sources and retrieve the data. This multi-agent foundation brought different tasks together so users didn’t have to know which system held the answers.
By bringing previously siloed knowledge together and orchestrating agents across workflows, the platform made information accessible to a much wider group of employees. Teams could find and use trusted insights on their own, while built-in access controls and sensitive-information redaction kept confidential data protected.
With the intelligence platform in place, teams could build on shared knowledge access, context, integrations and controls rather than start again for each new use case. This increased investment researcher efficiency by 30 percent as we scaled AI across the investment lifecycle, from portfolio and risk analytics to investment discovery and quarterly due diligence.