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AI Document Automation on AWS

AI Document Processing for Classification, Extraction, and Review

Stop paying per-page IDP fees. Run classification, extraction, and human review on Amazon Bedrock and Textract — inside your AWS account, with your encryption keys.

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Automated Classification & Extraction

Sort, extract, and summarize invoices, contracts, forms, applications, and correspondence.

Your Data Stays in Your AWS

AI processing runs in your AWS environment, using infrastructure you control.

Human-in-the-Loop Validation

Review, correct, and approve AI results before they update systems or trigger workflows.

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FormKiQ AI-powered document processing workflow with metadata extraction and human review

FormKiQ combines AI automation with human review and audit controls for regulated document processing.

What FormKiQ Automates

Classification

Identify document types and routing paths.

Extraction

Capture fields, metadata, and summaries.

Validation

Flag missing or uncertain results.

Review

Send exceptions to human reviewers.

Workflow

Route tasks, approvals, and follow-up actions.

Audit

Record AI results, corrections, and approvals.

Example AI Document Processing Workflow

FormKiQ can connect AI output to review, metadata, routing, and audit evidence instead of leaving extraction results isolated.

Upload or Ingest

Documents enter FormKiQ from users, applications, APIs, archives, or business workflows.

Classify

The workflow identifies whether a document is an invoice, contract, form, application, record, correspondence, or another configured type.

Extract and Summarize

AI-assisted processing can capture fields, summaries, metadata, and routing signals using AWS services such as Bedrock or Textract.

Validate

Low-confidence, missing, or policy-sensitive results can be sent to people for approval, correction, rejection, or re-routing.

Update Workflow

Approved results can become governed metadata, trigger document workflows, or support downstream application updates.

Audit

The AI result, reviewer action, correction history, and workflow outcome can be retained with the document record.

More Than Extraction

Generic IDP Tools FormKiQ
Focus mainly on extraction Combines AI processing with storage, metadata, workflow, governance, and audit
Often vendor-hosted Deploys into your AWS environment
Results may be isolated Results become governed metadata tied to the document record
Review may be separate Human review can be part of the workflow
Priced by users, pages, or transactions Deployment-based licensing with no per-user pricing

Common Use Cases

Use FormKiQ to automate processing for invoices, contracts, applications, forms, correspondence, compliance records, onboarding documents, case files, and legacy archives.

FormKiQ is schema-driven, so classification, extraction, and review workflows can be configured around your document types.

Human Review and Auditability

AI-extracted data can be reviewed before it updates metadata, triggers workflows, or moves documents into downstream systems. Reviewers can approve, correct, reject, or re-route results, with changes recorded for auditability.

Designed for Your AWS Environment

FormKiQ deploys into your AWS account and can use AWS services such as Amazon Bedrock and Textract as part of document processing workflows. This gives your organization more control over infrastructure, region selection, access, audit, and integration with existing AWS governance practices.

Pricing Guidance

AI document processing licensing typically begins in the mid-USD $20k range.

AWS usage, including services such as Amazon Textract, Amazon Bedrock, storage, search, and processing, is billed separately in your AWS account. Configuration, prompt and workflow setup, migration, integrations, and the deployment model are scoped separately.

Does pricing include AWS usage?

No. FormKiQ is commonly deployed into your AWS account, so AWS usage is billed directly through your AWS account. This may include storage, search, OCR, AI processing, compute, logging, backups, and related AWS services.

Does pricing include configuration or implementation?

Configuration and implementation are scoped separately. This may include metadata schemas, workflows, review rules, access policies, integrations, migration support, and AI processing setup.

What does the starting range represent?

The starting range refers to annual FormKiQ software licensing for AI document processing deployments. Final pricing depends on edition, modules, support level, number of production environments, implementation scope, and deployment model.

What We Cover on the Call

In a 45-minute solution review, we can review your document types, classification and extraction goals, human review process, governance requirements, AWS environment, and whether FormKiQ is a fit.

Document Types

Review the invoices, contracts, forms, applications, records, or correspondence you want to process.

AI Processing Goals

Discuss classification, extraction, summarization, validation, and routing opportunities.

Human Review Needs

Identify where people should approve, correct, reject, or re-route AI-generated results.

Governance Requirements

Review audit trails, access controls, retention, metadata, and compliance evidence needs.

AWS Deployment Model

Discuss region, account ownership, data residency, and use of AWS services such as Bedrock or Textract.

Next Steps

Outline whether a proof of value, pilot workflow, or deeper technical review makes sense.

Book a Solution Review

Choose a time without leaving this page. Bring your requirements, workflow questions, or AWS deployment constraints, and we'll map the right next step.

See how FormKiQ can automate your document processing workflow

Discuss your document types, extraction needs, review process, governance requirements, and AWS deployment model.

45-minute session with FormKiQ · Bring your requirements, we'll map the right next step · No commitment