AI Document Intelligence
AI Document Intelligence Services to Enhance Your Applications with Powerful AI Capabilities
Our AI document intelligence services turn unstructured documents — scanned PDFs, engineering specs, contracts, reports — into structured, queryable data your systems can actually use, without armies of manual reviewers doing it by hand.
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The Problem With Document-Heavy Industries
In oil & gas, EPC, legal, and financial services, the most valuable information an organization has is locked inside documents: technical specifications, contracts, inspection reports, compliance filings. Most of it is unstructured — inconsistent formatting, scanned pages, nested tables, handwritten annotations — and extracting anything useful from it at scale means either hiring large manual review teams or leaving the data untouched.
Generic OCR gets you text. It doesn't get you meaning, structure, or reliability. A 50,000-document engineering archive or a 200-page contract doesn't become useful data just because it's been converted to plain text.
Manual Review vs. AI Document Intelligence
Manual Document Review
Best for: One-off documents where a human needs to make a judgment call
Scale: Breaks down fast — review time grows linearly with document volume
Consistency: Varies by reviewer, fatigue, and familiarity with domain
Speed: Days to weeks for large document sets
Cost at scale: High and grows with document volume
AI Document Intelligence
Best for: High-volume, repeatable extraction from document types with consistent structure
Scale: Processes thousands of documents in the time manual review handles dozens
Consistency: Same logic applied identically to every document
Speed: Minutes to hours for document sets that would take teams weeks
Cost at scale: Fixed once built — marginal cost per document drops as volume grows
Manual review still has a role for edge cases and final sign-off on high-stakes decisions. AI document intelligence handles the volume so your reviewers spend time on what actually requires judgment.
What We Build
Domain-specific extraction pipelines — pull defined fields, values, and entities from your document types reliably, not just "extract everything and hope"
Document classification — automatically route documents to the right workflow based on type, content, or metadata
Table and structured data extraction — handle nested tables, multi-column layouts, and merged cells that generic parsers consistently fail on
Scanned document processing — OCR with layout-aware parsing, not just raw text extraction, so table structure and spatial relationships are preserved
Cross-document reconciliation — compare values across multiple documents (purchase orders vs. invoices vs. delivery confirmations) and flag discrepancies
Compliance and audit trail — every extraction logged with confidence scores and source document references, supporting audit requirements
Human-in-the-loop review queue — low-confidence extractions automatically routed to a human reviewer instead of silently passing through
Industries We Serve
Oil & Gas and EPC
Decades of technical documents — well reports, inspection records, engineering specifications, P&IDs — sitting in archives that teams search manually. We've reduced document search time from hours to seconds on archives of 50,000+ documents.
Legal
Contract review, clause extraction, and obligation tracking across large document portfolios. We build extraction pipelines that surface the specific clauses your team needs to review, rather than requiring a full read of every document.
Financial Services
Loan document processing, financial statement extraction, regulatory filing analysis. Our intelligent document processing company approach includes confidence scoring and audit trails required by compliance teams.
Healthcare
Clinical documentation, prior authorization forms, referral letters. Built with data residency requirements in mind — nothing processed outside your approved infrastructure.
Trusted Across 50+ Countries
Codersarts maintains a 4.9/5 client satisfaction rating across hundreds of engagements. Clients consistently cite reliability and domain depth as differentiators — Vivek (India) described the team's ability to make complex technical work genuinely accessible, while Tan (Malaysia) noted how the team's thoroughness made a real difference on a multi-part technical project.
Results
A global EPC engineering firm cut technical document search time from hours to seconds across a 50,000+ document archive spanning three decades of project records, using a domain-specific extraction and indexing pipeline.
A legal services company reduced contract review time by roughly 60% after deploying a clause extraction pipeline that surfaced key obligations and risk flags from contracts automatically.
An oil & gas operator automated inspection report processing across a 12-year archive, surfacing equipment-level maintenance histories that had previously required manual cross-referencing of hundreds of individual reports.
(Client names withheld under NDA; case studies available on request.)
Pricing
Starter
Scope: Single document type, core field extraction, basic classification
Price: $20,000–$35,000
Production
Scope: Multiple document types, table extraction, cross-document reconciliation, confidence scoring
Price: $35,000–$50,000
Enterprise
Scope: Full document intelligence platform — scanned archives, human-in-the-loop review, audit trail, compliance documentation
Price: $50,000–$60,000+
For context: enterprise document AI implementations in the US market typically run $100,000–$300,000+ for comparable scope. Our pricing reflects high-quality offshore delivery at 35–55% of those rates.
How We Work
Document audit (Week 1) — sample your document types, map extraction requirements, identify edge cases
Pipeline build (Weeks 2–5) — extraction, classification, and reconciliation logic
Accuracy testing (Week 6) — measure against a labeled holdout set, tune until extraction accuracy meets agreed thresholds
Launch & retainer — deploy with confidence scoring and a human review queue for low-confidence outputs
Why Codersarts
As an enterprise document AI provider with experience in oil & gas, EPC, legal, and financial services, we design around the document quality realities of those industries — scanned pages, inconsistent formats, decades-old templates — not clean, well-formatted modern PDFs. Every extraction pipeline includes confidence scoring and an audit trail, because in regulated industries, "the AI extracted it" is not sufficient documentation on its own.
Related Services
RAG Engineering & Deployment — for making extracted document data queryable via natural language
LLM Fine-Tuning — when a domain-adapted model significantly improves extraction accuracy on your specific document types
Private / On-Prem LLM Deployment — for regulated industries requiring document processing entirely within their own infrastructure
AI Strategy & Architecture Audit — if you're unsure how to scope your document intelligence requirements
Get Started
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FAQ
Can you handle scanned or handwritten documents? Yes — scanned document processing with layout-aware OCR is standard. Handwritten content is handled case by case depending on legibility and volume; contact us to assess your specific documents.
How accurate is the extraction? Accuracy depends on document consistency and field complexity. We measure against a labeled holdout set during development and don't go live until extraction accuracy meets the threshold agreed at scoping — typically 90–98% for well-defined fields on consistent document types.
What happens with low-confidence extractions? Every extraction includes a confidence score. Below a configurable threshold, documents are automatically routed to a human review queue instead of passing through silently. This is standard in all tiers.
Can this integrate with our existing document management system? Yes — we build to integrate with SharePoint, OpenText, and custom document repositories as standard. Other systems on request.
Do you handle documents in languages other than English? Yes — multilingual extraction is available for most major languages. Contact us with your specific language requirements during scoping.