Automated Classification & Extraction
Sort, extract, and summarize invoices, contracts, forms, applications, and correspondence.
AI Document Automation on AWS
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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Sort, extract, and summarize invoices, contracts, forms, applications, and correspondence.
AI processing runs in your AWS environment, using infrastructure you control.
Review, correct, and approve AI results before they update systems or trigger workflows.
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FormKiQ combines AI automation with human review and audit controls for regulated document processing.
Identify document types and routing paths.
Capture fields, metadata, and summaries.
Flag missing or uncertain results.
Send exceptions to human reviewers.
Route tasks, approvals, and follow-up actions.
Record AI results, corrections, and approvals.
FormKiQ can connect AI output to review, metadata, routing, and audit evidence instead of leaving extraction results isolated.
Documents enter FormKiQ from users, applications, APIs, archives, or business workflows.
The workflow identifies whether a document is an invoice, contract, form, application, record, correspondence, or another configured type.
AI-assisted processing can capture fields, summaries, metadata, and routing signals using AWS services such as Bedrock or Textract.
Low-confidence, missing, or policy-sensitive results can be sent to people for approval, correction, rejection, or re-routing.
Approved results can become governed metadata, trigger document workflows, or support downstream application updates.
The AI result, reviewer action, correction history, and workflow outcome can be retained with the document record.
| 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 |
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.
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.
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.
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.
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.
Configuration and implementation are scoped separately. This may include metadata schemas, workflows, review rules, access policies, integrations, migration support, and AI processing setup.
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.
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.
Review the invoices, contracts, forms, applications, records, or correspondence you want to process.
Discuss classification, extraction, summarization, validation, and routing opportunities.
Identify where people should approve, correct, reject, or re-route AI-generated results.
Review audit trails, access controls, retention, metadata, and compliance evidence needs.
Discuss region, account ownership, data residency, and use of AWS services such as Bedrock or Textract.
Outline whether a proof of value, pilot workflow, or deeper technical review makes sense.
Choose a time without leaving this page. Bring your requirements, workflow questions, or AWS deployment constraints, and we'll map the right next step.
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