Asset Managers

Asset managers are moving beyond task-based AI toward agentic, workflow-driven AI that continuously operates across due diligence, investor communications, and reporting processes. By integrating real-time data sources like CRMs and document systems, firms can transform static workflows into intelligent, connected ecosystems that improve accuracy, scalability, and operational efficiency.

Every investor meeting matters. Often, the challenge is that getting to that level of preparation has traditionally been incredibly manual. Investor Relations and Business Development teams spend hours, even days, searching through CRM notes, consultant databases, public filings, board minutes, market intelligence, and internal meeting summaries, trying to assemble a complete picture of the prospect. Even then, they're often left with fragmented information and unanswered questions.

The conversation around AI in investment management has shifted. It's no longer about whether the technology is ready; it's about how to deploy it wisely. We recently hosted a webinar in partnership with AIMA, featuring key allocator and manager panelists who are deep in the work, and five themes emerged clearly.