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Case study · Energy

AI-assisted document review for an energy services firm

An extraction and review pipeline that turns permits, inspection reports and invoices into validated structured data.

ClientEnergy services company · New Mexico
ServicesAI & Data, Custom Software
Duration14 weeks
AI-assisted document review for an energy services firm — product screens
01

The challenge

Thousands of permits, inspection reports and vendor invoices arrived as PDFs and scans each month. Analysts re-keyed the data into spreadsheets, which was slow, error-prone and delayed compliance reporting.

02

Our approach

We built an evaluation set from 600 real documents before writing any production code, defined the accuracy target with the operations team, and designed a review queue so people stay in control of every low-confidence field.

03

The solution

Documents are ingested automatically, classified, and processed by an extraction model with validation rules. Fields under the confidence threshold go to a reviewer with the source highlighted. Approved data flows into the company's reporting warehouse, with a full audit trail.

PythonLLM APIsPostgreSQLdbtReactAzure
Results
−72%manual data-entry hours per month
96%field-level accuracy on the evaluation set
Same dayturnaround on document batches

Results measured by the client in the months following launch. Client identity withheld under NDA.