Brian Connolly in Propmodo: Time for CRE to Move from Chatbots to Agentic AI

Feasibly founder and CEO Brian Connolly authored a perspectives piece for Propmodo examining why commercial real estate organizations should move beyond generic AI chatbots toward purpose-built agentic systems. The article notes that a 2025 MIT study found 95% of organizations reported no measurable P&L impact from generative AI investments, despite enterprise spending of $30–$40 billion.

The piece details how agentic AI systems differ from chatbots: they operate with structured guidance and domain expertise, executing complex, multi-step workflows with minimal human oversight. These systems can be trained for highly targeted use cases within an industry.

Connolly uses Feasibly's AI platform for CRE feasibility studies as an example. Traditional feasibility studies for commercial real estate projects can cost $50,000 or more and require months of analyst time. The platform uses AI agents to retrieve and synthesize data from proprietary and paywalled sources, delivering bank-ready market and financial feasibility studies in days. The article states this approach reduces time and cost by up to 90%.

The multi-agent architecture performs pre-prescribed tasks including targeted data retrieval, market validation, benchmarking, forecasting, and narrative synthesis. A human analyst remains in the loop to validate outputs for accuracy and compliance with industry best practices.

Connolly suggests that making professional-grade feasibility analysis more accessible could have implications for addressing the nation's 600,000-unit apartment shortage by enabling more developers to assess housing project viability.