What to Evaluate
Understand what to ask, test, and require from AI document processing vendors.
AI Document Processing Guide
AI Document Processing Guide for Governance, Compliance, and Review
See how Amazon Bedrock and Textract can classify, extract, and route your documents — inside your AWS account, with your encryption keys, at a fraction of per-page IDP pricing.
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AWS Partner
ISO 27001-Certified Cloud Infrastructure
Built on the AWS Well-Architected Framework
Deployed on SOC 2 Type II audited infrastructure
Open-source core · MIT License · GitHub
Your AWS Account, Your Keys, Your Data
Governance and Risk Considerations
Review security, residency, audit trail, human review, and compliance considerations.
FormKiQ's Product Approach
See how FormKiQ combines AI-assisted processing with workflows, metadata, review, and document governance.
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The guide explains how FormKiQ's AI document processing pattern keeps classification, extraction, review, and audit controls inside your AWS boundary.
What the Guide Covers
Inside the Guide
How AI document classification and extraction workflows are typically structured
Where human review should be used before metadata or workflow updates
What audit evidence should be captured for AI-assisted decisions
How data residency and infrastructure control affect AI document processing
Why document governance matters beyond extraction accuracy
What to ask vendors before choosing an AI document processing platform
FormKiQ's Approach to AI Document Processing
FormKiQ treats AI document processing as part of a governed document workflow, not as a standalone extraction step. Documents can be classified, enriched, reviewed, corrected, routed, retained, and audited within the same document management platform.
AI-Assisted Processing
AI-assisted classification, extraction, and summarization.
Human Review
Human review before downstream updates.
Document Metadata
Metadata tied to the document record.
Workflow Actions
Workflow actions based on extracted results.
Audit Trails
Audit trails for AI output, corrections, and approvals.
AWS Deployment
Deployment into your AWS environment.
Who This Guide Is For
The guide is most useful before a platform evaluation, proof of value, or architecture discussion.
Operations Teams
Use it to define document types, exception paths, review steps, and workflow outcomes.
IT and Architecture Teams
Use it to evaluate deployment model, AWS services, integration patterns, and processing boundaries.
Compliance and Governance Teams
Use it to plan audit trails, human review, retention, access control, and evidence requirements.
Why Governance Matters in AI Document Processing
AI extraction is only useful if the results can be trusted, reviewed, governed, and explained. For enterprise and compliance-driven teams, the platform needs to manage more than output accuracy. It also needs to preserve who reviewed the result, what changed, when it changed, and how the document was handled afterward.
What to Look for in a Platform
Evaluation Checklist
Can AI results be reviewed before they update systems?
Are corrections and approvals captured in an audit trail?
Can processing rules vary by document type?
Can metadata, retention, access control, and workflow work together?
Can the platform run in your AWS environment?
Can it support both automation and human oversight?
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 governed document processing workflows. This helps organizations control infrastructure, region selection, access, audit logging, 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, AI processing goals, review requirements, governance needs, AWS environment, and whether FormKiQ is a fit.
Classification and extraction goals
Human review and approval requirements
Audit and compliance needs
AWS deployment model
Potential proof-of-value path
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.
Evaluate AI document processing with governance, review, and AWS control in mind
Book a solution review to discuss FormKiQ's approach, or download the guide to review the key questions before evaluating platforms.
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