Document Processing in IT Services
IT services firms process high volumes of documents every day — master services agreements, statements of work, service level agreements, vendor invoices, purchase orders, contractor onboarding packages, background check reports, SOC 2 audit reports, the list goes on.
Slow or inaccurate document processing delays contract execution and creates billing errors that erode margins.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
IT Services
Contract Accuracy at Volume
When hundreds of client contracts, amendments, and SLAs move through the business simultaneously, manual review introduces inconsistencies that surface as missed obligations, billing disputes, and renewal gaps.
Audit-Ready Compliance Documentation
Every extracted value is traceable to its exact location in the source document, giving compliance and delivery teams a verifiable record across SOC 2 audit reports, vendor certifications, and contractual commitments.
Faster Contractor Onboarding
IT staffing and outsourcing firms onboard large contractor populations continuously, and delays in processing employment verification, background check reports, and credentialing documents slow time-to-placement and create compliance exposure.
Built for Complex IT Services Documents
Intelligent document processing across IT outsourcing providers, managed service providers, systems integrators, and IT staffing firms 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.
Use cases
Contract & SLA Management
Extract and structure key terms, obligations, and performance thresholds from master services agreements, statements of work, service level agreements, and contract amendments across the full client portfolio.
Accelerate contract execution cycles, reducing time-to-revenue on new engagements
Eliminate manual extraction of SLA terms, reducing missed-obligation risk and penalty exposure
Build a structured, auditable contract record that supports renewals, disputes, and compliance reviews
Vendor & Procurement Processing
Automate matching and validation of vendor invoices, purchase orders, software license agreements, and hardware procurement documents across a multi-vendor supplier network.
Reduce invoice processing cycle time, capturing early-payment discounts and improving cash flow
Cut manual data entry and exception handling costs across high-volume procurement workflows
Surface billing discrepancies and unauthorized charges before payment, reducing financial leakage
Contractor Onboarding & Credentialing
Process employment verification forms, background check reports, skills certifications, non-disclosure agreements, and tax documents for large contractor populations at placement speed.
Shorten time-to-placement by eliminating manual document review bottlenecks in onboarding
Reduce per-contractor onboarding cost at scale across high-volume staffing and outsourcing operations
Maintain a complete, traceable compliance record for every contractor across I-9, certifications, and agreements
Trusted for Document-Heavy IT Services Workflows
Agentic Document Extraction enables IT services firms to automate document-intensive processes that traditionally require manual review.
Very often a loan officer who gets a borrower a solid preapproval fastest earns the deal and the real estate agent’s referrals. Reconstructing income is the hardest part, and Agentic Document Extraction is the cornerstone to getting it right and traceable. Accurate data upfront means we can get a cleaner loan file to the underwriter and get to CTC faster. Get it wrong and everything downstream gets affected.”
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 →
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 →Our Plan Review Agent has a lot of complicated components under the hood: traversing building code knowledge graphs, reasoning across disciplines and sheets, assessing issues informed by historical projects. None of it works if we can’t trust what came off the page. ADE gave us a reliable foundation, so our team could focus on incorporating our team’s expertise into our compliance reasoning system.”
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 →
I appreciate its reliability and the fact that they're constantly innovating with new models, which helps us work smarter. The service is essential for handling heavy workloads in financial institutions as it provides the necessary infrastructure for high accuracy and fast throughput. I also find it adaptable to specific use cases because they're always working on new models.”
We use LandingAI's Agentic Document Extraction to build pipelines that turn unstructured text into structured data. First, the NER (Named Entity Recognition) detection has amazing accuracy. Second, the OCR capability is excellent — earlier I had to run a separate PDF extractor for text plus a separate LLM with OCR to summarize images, and now it's one step. Third, the image boundary detection is a standout.”
We ran a structured bake-off: the same five PDFs (ranging from a 12-page slide deck to a 400-page machinery manual) processed through other products and Landing AI's Agentic Document Extraction (ADE). We scored each tool on four criteria: Table fidelity, Figure extraction, Chunk typing, Scale. Landing AI ADE was the only tool that scored well on all four.”
Very often a loan officer who gets a borrower a solid preapproval fastest earns the deal and the real estate agent’s referrals. Reconstructing income is the hardest part, and Agentic Document Extraction is the cornerstone to getting it right and traceable. Accurate data upfront means we can get a cleaner loan file to the underwriter and get to CTC faster. Get it wrong and everything downstream gets affected.”
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 →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 →Our Plan Review Agent has a lot of complicated components under the hood: traversing building code knowledge graphs, reasoning across disciplines and sheets, assessing issues informed by historical projects. None of it works if we can’t trust what came off the page. ADE gave us a reliable foundation, so our team could focus on incorporating our team’s expertise into our compliance reasoning system.”
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 →I appreciate its reliability and the fact that they're constantly innovating with new models, which helps us work smarter. The service is essential for handling heavy workloads in financial institutions as it provides the necessary infrastructure for high accuracy and fast throughput. I also find it adaptable to specific use cases because they're always working on new models.”
We use LandingAI's Agentic Document Extraction to build pipelines that turn unstructured text into structured data. First, the NER (Named Entity Recognition) detection has amazing accuracy. Second, the OCR capability is excellent — earlier I had to run a separate PDF extractor for text plus a separate LLM with OCR to summarize images, and now it's one step. Third, the image boundary detection is a standout.”
We ran a structured bake-off: the same five PDFs (ranging from a 12-page slide deck to a 400-page machinery manual) processed through other products and Landing AI's Agentic Document Extraction (ADE). We scored each tool on four criteria: Table fidelity, Figure extraction, Chunk typing, Scale. Landing AI ADE was the only tool that scored well on all four.”
