Document processing in real estate is complex and highly manual, impacting critical business decisions at scale, making it ripe for automation. Built Technologies, a real estate finance software provider, processes over $500B in real estate projects. The company deployed an AI-powered document processing engine on Amazon Bedrock and the AWS Intelligent Document Processing (IDP) Accelerator. That engine now serves as the foundation for agentic products across the real estate lifecycle. In this post, we share the need for AI-powered document intelligence in real estate and an architectural deep dive to build it.

Real estate finance runs on documents: draw packages, loan agreements, invoices, insurance certificates, inspection reports, and dozens more. Each contains information that lenders and stakeholders need to review, validate, and act on. These documents are often long, inconsistent, domain-specific, and difficult to process with traditional automation.

For Built, document intelligence is not a back-office utility. It’s a horizontal AI capability that sits at the foundation of a new generation of agentic products launching across the real estate finance lifecycle. Whether an agent is reviewing a construction draw, analyzing a loan agreement, validating insurance coverage, summarizing an offering memorandum, or identifying exceptions in a portfolio, it needs the same core capability: the ability to understand documents with context, accuracy, and traceability.