AI Agents for Capital Markets Workflows
A real estate capital markets team aimed to create a comprehensive investment platform that encompasses deal sourcing, underwriting, capital placement, and asset management. Their processes were spread out across various tools, including Gmail, Google Calendar, Salesforce, Slack, Egnyte, and several outreach applications, leading to scattered data, manual transitions, and inconsistent execution among teams. To address these issues, SFAI Labs collaborated with leadership to develop a value-driven AI strategy that centralized their operations, standardized essential data elements, and established a scalable framework for internal agents throughout the entire deal lifecycle. Using a lab acceleration model, stakeholders were engaged, the necessary data infrastructure was identified, and high-impact automation opportunities linked to quantifiable business results were planned. Within twelve weeks, SFAI produced a comprehensive AI blueprint that included standardized data infrastructure, a consistent taxonomy for contacts, companies, and properties, and a strategy for operational agents covering sourcing, scoring, communication, and deal Q&A. This architecture was designed for direct integration with current systems (Salesforce, Gmail, Calendar, Slack, Egnyte) and allowed for auditing and scalability. The outcome was a clear strategy for increasing deal speed and conversion through AI-enhanced targeting, workflow management, and scoring, enabling the team to boost deal flow without proportional increases in staff.