Investor relations and RFP workflows at asset managers, hedge funds, and private market firms are being redefined by AI-native processes. But what does it actually take to build an AI agent that can tag your content library, respond to DDQs, and research prospects in real time?
Join DiligenceVault for “How to Build an AI Agent for Investor Relations & RFP Teams,” a live session where we walk through how a modern IR & RFP AI agent is designed, from core design principles to workflow orchestration and what teams can realistically implement today using both platform-driven and DIY approaches.
In this session, we’ll share the blueprint (not the code) for turning AI concepts into production-ready workflows that improve response speed, ensure consistency, and unlock your firm’s institutional knowledge.
Key Discussion Highlights:
- Three high-impact IR & RFP workflows ready for AI automation
- The core components of an AI agent for content tagging, response generation, and research
- How structured context, metadata tagging, and LLM reasoning work together
- How to automatically tag and organize your content library for reuse
- How AI agents can generate accurate DDQ and RFP responses using your existing knowledge base
- How to use AI for prospect and investor research to personalize outreach
- How teams combine AI on DiligenceVault with internal or DIY agents
Ideal for: investor relations, RFP/DDQ, capital formation, product specialists, and IR operations teams looking for practical, low-risk, high-impact ways to integrate AI into their workflows without needing a full engineering build.
Reserve Your Spot Today:
