Water utilities process high volumes of documents every day — construction permits, discharge monitoring reports, asset inspection records, water rights applications, capital improvement plans, lead service line inventories, the list goes on.
Slow or inaccurate document processing delays permitting decisions and creates compliance exposure that puts operations and infrastructure investment at risk.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Extracting structured data from engineering reports, condition assessments, and capital improvement plans gives asset managers the complete, consistent inputs they need to prioritize infrastructure investment accurately.

Every field extracted from a monitoring report or permit submission is grounded to its precise location in the source document, giving compliance teams an audit-ready record without manual transcription.

Automating document extraction eliminates the duplicate data entry that forces field data to be re-keyed into GIS systems, work order platforms, and regulatory portals — reducing processing time and error rates across all downstream systems.

Intelligent document processing across municipal water systems, wastewater utilities, stormwater management, and investor-owned water utilities 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 monitoring parameters, permit conditions, and test results from discharge monitoring reports, consumer confidence reports, and water quality laboratory analyses to populate regulatory submissions accurately and on schedule.
Automate extraction of project scope, engineering specifications, and approval conditions from construction permit applications, contractor submittals, environmental assessments, and regulatory correspondence to keep capital projects on schedule.
Extract asset identifiers, condition ratings, inspection findings, and maintenance histories from field inspection reports, as-built drawings, and equipment records to build accurate, queryable asset inventories.
Agentic Document Extraction enables water 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 →