HomeAI Document Processing

    Security-First Deployments

    AI Document Processing With Human Review at Every Decision Point

    CloudNSite builds document extraction and processing workflows for claims, invoices, contracts, loan files, applications, and public records. One pipeline classifies, extracts, validates, and routes each document inside your current systems. Your ERP, claims platform, LOS, DMS, or case system stays the system of record, and a named person reviews every output that carries risk.

    Pain Points

    Documents arrive through too many doors

    Email, portals, scans, faxes, secure drops, and shared drives all deliver documents. Someone still sorts, renames, and routes them by hand before real work starts.

    OCR reads characters, not meaning

    Generic OCR pulls text but cannot tell a remittance address from a service address, or a policy limit from a deductible. Someone re-keys the fields that matter.

    Validation lives in people's heads

    Extracted data must match the system of record: the vendor master, payer rules, loan conditions, or case records. Those checks are tribal knowledge, not a controlled step.

    Exceptions have no owner

    When a document fails, it lands in a shared inbox and waits. Nobody is named, so nothing moves.

    Audit needs the source, not just the value

    A regulated reviewer must see the page and field each value came from. A spreadsheet of extracted numbers with no source reference does not survive an audit.

    How Our Agents Solve This

    Healthcare: Claims and Prior Authorization

    Reads claims packets, prior auth forms, referrals, EOBs, and clinical attachments, then extracts and checks the fields each payer requires. Staff review every packet before it reaches a payer, and clinical decisions stay with providers.

    Finance: Invoices and AP Documents

    Reads invoices, statements, credit memos, and vendor tax forms, then codes lines and matches POs against your ERP. An approver signs off before anything posts or pays.

    Legal: Contracts and Discovery Documents

    Extracts terms, dates, parties, and obligations from contracts, exhibits, and discovery productions, with matter permissions preserved through the pipeline. Attorneys review every flag, and nothing leaves the firm without counsel approval.

    Lending: Loan Files and Underwriting Documents

    Assembles and checks applications, bank statements, tax returns, pay stubs, and appraisals against your loan conditions, then flags each gap. An underwriter owns every credit decision.

    Government: Applications, Permits, and Public Records

    Checks permit and license applications for completeness, routes reviews, and prepares records requests for response. A records officer approves each redaction and release, and human authority stays over every determination.

    Logistics: Purchase Orders, BOLs, and Freight Documents

    Matches purchase orders, bills of lading, delivery receipts, and rate confirmations across quantity, rate, and date. A coordinator approves variances and damage exceptions before anything writes back to the ERP or TMS.

    Expected Results

    One pipeline
    Classify, extract, validate, route, integrate
    Named reviewers
    A person approves each output that carries risk
    Source attached
    Every extracted value keeps its page and field reference

    How Implementation Works

    1. 1

      Ingest and classify

      Accept documents from email, portals, scans, and secure drops. Identify each document type and route it to the correct workflow.

    2. 2

      Extract with confidence checks

      Pull the fields the workflow needs. Attach a confidence score and the source page to each value.

    3. 3

      Validate against your systems

      Check each value against the system of record: the vendor master, payer rules, loan conditions, or case records. Flag every mismatch.

    4. 4

      Route exceptions to named owners

      Send low-confidence values and failed checks to the responsible reviewer, with the source document attached.

    5. 5

      Write back under approval rules

      Update the ERP, claims platform, LOS, DMS, or case system only after the required approvals clear.

    6. 6

      Evaluate before and after launch

      Test extraction and validation against your own historical documents before go-live. Keep regression checks in place as formats and rules change.

    Frequently Asked Questions

    What does a CloudNSite document processing build include?

    CloudNSite builds a scoped pipeline that classifies, extracts, validates, and routes your documents inside your current systems. The build includes human review queues with named owners, an evaluation suite run against your own historical documents, and deployment runbooks.

    Which document types can it handle?

    Claims packets, prior auth forms, invoices, vendor tax forms, contracts, and discovery productions. Also loan files, bank statements, appraisals, permit and license applications, public records requests, purchase orders, and bills of lading. The pipeline handles structured forms, semi-structured documents, and scans of mixed quality.

    What happens when extraction confidence is low?

    The value routes to a named human reviewer with the source page attached. The reviewer corrects or approves it, and the correction feeds the evaluation suite. The system makes exceptions visible. It does not hide them.

    Who owns the code, prompts, and runbooks?

    You own the agreed production source code, prompt configurations, evaluation assets, and deployment runbooks. Maintenance is a separate monthly service, and CloudNSite supports a clean handover to your internal team or another vendor whenever you want one.

    Is there seat-based pricing?

    No. There is no per-seat license, no per-user fee, and no platform subscription. A build is a one-time price. Managed service is one monthly price for the system, however many people use it.

    Can it process regulated documents?

    Yes. CloudNSite designs the workflow to the control framework you already operate under, such as HIPAA, SOC 2, GLBA, or PCI. The controls include role-based access, audit logs, encryption, and retention rules. Private LLM deployment is available when documents cannot leave your infrastructure. CloudNSite quotes regulated work from the published build lanes like any other workflow.

    What is the first paid step?

    Discovery comes before the build. The $999 Current State Assessment maps the document workflow and defines the proposed automation, architecture, scope, and price. An RFP may call this step Phase 0, paid discovery, or a discovery sprint.

    What does a document processing build cost?

    A Defined Automation Build starts at $8,000 for one contained workflow. Focused Custom Automation runs $12,000 to $20,000. Operations Automation, for linked workflows across teams, runs $25,000 to $60,000. Build price is separate from maintenance, cloud use, and model use.

    Ready to Fix This Workflow?

    Scope a Document Processing Build. Plan a custom build for this workflow or run the AI readiness check for a fast baseline.