← All work
Energy & IndustrialIndustrial megaproject (anonymized)
Putting 5,000+ engineering documents under AI classification
- AI classification across the full engineering document register
- Plain-English Q&A over equipment, revisions, and specs
- Status reporting that used to be manual, now automated
5,000+
documents classified
Cited
plain-English answers
24/7
automated reporting
The situation
An active construction megaproject generates thousands of engineering documents — drawings, specs, transmittals, vendor data — across multiple systems. Finding the right revision, or answering “what changed,” meant manual search and days of analyst time.
What we built
We built an AI classification and retrieval layer over the full document register: every document tagged with equipment, system, discipline, and revision metadata, then made queryable in plain English with governed, cited answers.
Key capabilities
- Document classification & metadata extraction at scale
- Revision tracking and change detection
- Plain-English Q&A with citations
- Automated status reporting
Results
- Answers in minutes that previously took days of analyst search
- Consistent metadata across a previously inconsistent register
- Reporting that runs itself
Challenge
- Thousands of docs, inconsistent registers
- Critical revision data buried in PDFs
- Manual reporting eating analyst time
Solution
- AI classification over the full register
- Cited, governed Q&A in plain English
- Automated reporting pipeline
More work
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