Gas utilities process enormous volumes of documents every day — pipeline inspection reports, work orders, right-of-way agreements, service connection requests, meter test records, tariff filings, environmental assessments, the list goes on.
Slow or inaccurate document processing creates operational delays, compliance gaps, and safety exposure across field and back-office workflows.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted value is grounded to its precise location in the source document, giving operations teams and regulators a verifiable record that satisfies the rigorous documentation standards gas utilities face across safety, land, and rate proceedings.

Gas utility records arrive as hand-marked field forms, scanned easements, dense regulatory filings, and legacy engineering drawings — agentic extraction maintains high accuracy across all of them without template configuration or retraining.

High-volume document workflows — inspection cycles, annual compliance filings, interconnection applications — can be processed at throughput that manual review teams cannot match, allowing existing staff to focus on higher-judgment work.

Intelligent document processing across distribution, transmission, pipeline integrity and customer operations is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract condition data, defect classifications, and corrective action records from inline inspection reports, leak survey reports, corrosion assessment logs, and field work orders to maintain a complete, searchable asset history.
Organize and extract key terms, acreage, parcel identifiers, and restriction clauses from easement agreements, right-of-way contracts, property surveys, and construction permits across large multi-decade land portfolios.
Automate the extraction and organization of cost-of-service data, depreciation schedules, and supporting exhibits from rate case filings, tariff documents, and annual compliance reports submitted to state and federal regulators.
Agentic Document Extraction enables gas utilities to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
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ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →