Electric utilities process enormous volumes of documents every day — interconnection applications, right-of-way easements, work orders, outage event reports, vegetation management plans, protective relay studies, rate case filings, and asset inspection records, the list goes on.
Slow or inaccurate document processing delays grid reliability decisions and exposes utilities to compliance risk.
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 compliance teams a defensible evidence chain across the engineering drawings, inspection logs, and regulatory filings that grid reliability audits demand.

Interconnection applications, rate case exhibits, and land rights packages contain dense tables, multi-page layouts, and mixed file types that defeat manual review — structured extraction compresses cycle times across these workflows without adding headcount.

Field-generated documents — redlined as-builts, handwritten work orders, scanned easement agreements — vary widely in format and quality; agentic extraction maintains accuracy across this variation without requiring templates or retraining.

Intelligent document processing across transmission operations, distribution operations, generation asset management, and distributed energy resource programs 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 applicant, site, and technical data from generator interconnection applications, feasibility study reports, facility study agreements, protective relay coordination documents, and one-line diagrams to move projects from application to agreement faster.
Organize and extract evidence required for NERC reliability standard audits from inspection logs, maintenance records, vegetation management reports, outage event reports, and corrective action plans.
Extract parcel, landowner, and encumbrance data from right-of-way easements, property deeds, survey plats, title reports, and easement amendment agreements to support transmission project development and vegetation management programs.
Agentic Document Extraction enables electric 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 →