The AI Built for Preconstruction: Find Every Requirement, Instantly

Why Generic AI Falls Short on Construction Documents

Large language models like ChatGPT and Claude are impressive general-purpose tools, but they weren't built for construction. When it comes to analyzing drawings, specifications, and contracts, generic AI models struggle with:

• Construction-specific notation — Drawing symbols, spec references, and trade terminology
• Cross-document references — Requirements that span multiple document types
• Accuracy requirements — Construction decisions require verified, source-cited answers
• Workflow integration — Standalone Q&A doesn't fit into estimating and bidding workflows

What Makes Provision Different

Provision is purpose-built for construction pre-construction workflows:

1. Trained on construction documents — Drawings, specifications, contracts, and standards
2. OCR for drawings — Reads and understands construction drawings, not just text documents
3. Cross-document analysis — Reviews all project documents together to catch conflicts
4. Source citations — Every answer linked to the exact page, section, or drawing
5. 95% accuracy — Verified on real project documents, compared to ~40% for generic AI

The Bottom Line

When your bid depends on catching every requirement, you need AI that was built for the job — not adapted from a general-purpose chatbot.