# AI in Project Closeout

> How AI collects, checks, and organizes closeout documents, O&M manuals, and warranties, and how to check the output before it reaches the owner.

- Stage: Closeout
- Canonical: https://buildr.com/library/closeout

Closeout is document work at its most tedious. Hundreds of submittals, O&M manuals, and warranties from dozens of subs, each checked against a spec requirement, each chased by email.

It is a natural fit for document extraction and agents, and a good place to see why grounding and citations matter when the owner asks where a number came from.

## Terms

- [AI Project Closeout](/library/ai-project-closeout.md): AI project closeout uses document extraction and agents to collect, classify, and verify the O&M manuals, warranties, as-builts, and lien waivers required at turnover. It tracks outstanding items by subcontractor.
- [Grounding and Citations](/library/grounding-and-citations.md): Grounding ties an AI answer to specific source material rather than the model's general knowledge. Citations show where each claim came from. In construction, that might mean pointing to Section 09 29 00, paragraph 3.4, for a level 5 finish requirement.
- [OCR vs. LLM Document Understanding](/library/ocr-vs-llm-document-understanding.md): OCR converts scanned construction documents into text. LLM document understanding reads that text, or the page image itself, and interprets its meaning. Precon tools often use both: OCR handles the pixels and the language model interprets the content.
- [Retrieval-Augmented Generation (RAG)](/library/retrieval-augmented-generation.md): Retrieval-Augmented Generation (RAG) finds relevant pages in a company's own documents and gives them to an AI language model before it answers. It grounds a construction team's responses in its actual specs, proposals, and project history instead of the model's general knowledge.

## How Buildr applies this

Buildr Handover manages closeout documents and warranty obligations after the project delivers. See [Buildr Handover](/handover).
