Automated Classification & Extraction
Sort, extract, and summarize invoices, contracts, forms, applications, and correspondence.
AI Document Automation on AWS
AI Document Processing for Classification, Extraction, and Review
Classify, extract, and summarize documents automatically — powered by Amazon Bedrock and Textract, running entirely in your account.
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View AI Document Processing Guide
45-minute consultation · Problem-focused discussion · No commitment
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.
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.
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.
What We Cover on the Call
In a 45-minute consultation, 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.
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 consultation · Problem-focused discussion · No commitment