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Built Technologies' AWS-powered document intelligence uses a multi-agent generative AI framework on AWS to automatically extract, split, and validate complex construction draw documents. This transforms traditional 7-to-14-day manual verification cycles into automated real-time validations, reducing loan disbursement t
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|4 August 2026
How Built's AWS-Powered Document Intelligence Redefines Real Estate Speed
Accelerate construction draw processing from 14 days to under 24 hours using Built's multi-agent generative AI system on AWS designed for lenders and developers.
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What is Built's AWS-powered document intelligence solution?
It is an automated document processing system developed by Built Technologies using AWS infrastructure. It leverages multi-agent generative AI to extract, classify, and validate complex real estate finance documentation, enabling lenders and developers to streamline their back-office construction financial operations.
How does this technology reduce construction draw validation times?
By replacing manual data keying and validation with specialized AI agents, the system automatically extracts data, splits multi-document PDFs, and verifies contract terms, collapsing traditional 7-to-14-day validation cycles into under 24 hours.
How does the multi-agent AI framework function on AWS?
The system utilizes specialized AI agents built on Amazon Bedrock and Textract. An Extraction Agent pulls data, a Splitter Agent segments combined files, a Classifier Agent tags document types, and a Validation Agent cross-references the data with contract rules.
Can this solution process localized Thai document formats?
Yes, the system is designed to handle localized structures including Thai script OCR, Thai Revenue Department tax invoices, regional hand-signed receipts, and local calendar conventions like Buddhist Era dates.
What are the regulatory considerations for Thai financial institutions?
Thai lenders using the system must comply with the Bank of Thailand's IT risk management guidelines, secure data in accordance with the Personal Data Protection Act, and ensure cloud infrastructure deployments meet local physical and digital security audits.
