Agentic AI
Agentic AI refers to AI systems that work toward a goal by planning and carrying out multi-step tasks with limited supervision, using tools and data sources along the way. In commercial real estate, AI agents take on work such as reading loan documents, pulling market comparables and tracking covenants, while people review the results.
Why agentic AI matters
Earlier AI tools answered one prompt at a time. An AI agent is given a task, such as preparing a first-pass underwriting, and works through the steps itself: finding the right documents, extracting the figures, checking them against each other and against market data, and assembling the output for review.
Commercial real estate suits this kind of work because so much of it is document-heavy and repetitive. Rent rolls, operating statements, insurance certificates, loan agreements and appraisals all have to be read, reconciled and tracked on every deal and every loan. Agents handle the reading and reconciling, so analysts spend their time on sizing, structuring and credit decisions.
Because agents act on their own, control matters. Well-built systems keep a person in the loop for decisions, show the source behind every figure, and log what the agent did, so the work can be checked the way a junior analyst's work would be.
Agentic AI vs. Generative AI
Generative AI produces content, such as a paragraph or a summary, in response to a prompt. Agentic AI uses generative models as one part of a larger system that plans steps, calls tools, reads and writes data, and checks its own progress toward a goal. A chatbot that summarizes one lease is generative. A system that abstracts every lease in a portfolio, updates the rent roll and flags upcoming expirations is agentic.
How Smart Capital Center uses agentic AI
Smart Capital Center is an agentic AI platform for commercial real estate investment and lending teams. Its AI agents read rent rolls and operating statements, pull market comparables, draft credit memos, and track covenants and insurance, with every figure traceable to its source. JLL achieved a 30x productivity gain for its asset management team with Smart Capital Center.
Frequently asked questions
What is the difference between an AI agent and agentic AI?
An AI agent is a single system that carries out a defined task, such as reviewing insurance certificates. Agentic AI describes the broader approach of building AI that plans and acts toward goals, often with several agents working together and passing work between them. In practice, the two terms are frequently used interchangeably.
How is agentic AI used in commercial real estate?
Common uses include reading and reconciling rent rolls and operating statements for underwriting, drafting investment committee and credit memos, monitoring loan covenants and maturity dates, reviewing insurance certificates for coverage gaps, and processing construction draw requests. In each case the agent prepares the work and a person reviews it before any decision is made.
Can agentic AI make lending or investment decisions on its own?
It should not. Credit and investment decisions carry fiduciary and regulatory responsibility, so the right role for agents is to prepare the analysis, flag issues and show their sources. The analyst or credit officer reviews that work and makes the decision. Systems that keep this review step are easier to audit and easier to trust.