AI Agent

A digital system powered by artificial intelligence, designed to autonomously perform tasks, make decisions, and adapt to changing conditions by learning from data and interactions. AI Agents represent an evolution from traditional automation technologies like RPA.

Putting AI Agent in Context

In CRE, an AI Agent might autonomously analyze market trends, recommend investment opportunities, or manage tenant communications with minimal oversight. Unlike RPA, which operates strictly within predefined rules, AI Agents can adapt to new information and refine their processes over time. This adaptability makes them invaluable for handling complex, dynamic workflows such as underwriting, portfolio optimization, or predictive maintenance in commercial properties.


Frequently Asked Questions about AI Agents

An AI Agent is a digital system powered by artificial intelligence that autonomously performs tasks, makes decisions, and adapts over time by learning from data and interactions.

Unlike RPA (Robotic Process Automation), which follows fixed rules, AI Agents can adapt to new information, make context-based decisions, and improve their performance over time.

In CRE, AI Agents may autonomously analyze market trends, recommend investment opportunities, manage tenant communications, assist in underwriting, or optimize portfolios—all with minimal oversight.

They can support tasks like predictive maintenance, investment analysis, tenant interaction, data reconciliation, and dynamic decision-making across underwriting and asset management.

AI Agents adapt to changing inputs and conditions, making them ideal for environments where workflows, data, and priorities shift frequently—such as CRE operations and investment strategies.

Explore related resources including “AI Agents – From Insights to Action,” “CRE Agents – Spencer’s New Venture,” and the glossary entries for Digital Coworker and Chained Instructions.



Click here to get this CRE Glossary in an eBook (PDF) format.