Private AI Document Evidence Analyst by Code Creator

Audit, risk, procurement, compliance, and due diligence teams face a common challenge: reviewing long, sensitive PDFs and producing professional, evidence-backed reports - without exposing confidential documents to external services. Private Document Evidence Analyst solves this by running entirely inside your own AWS account, keeping your data under your control from upload to final report.

With the Verified Evidence workflow, your team can perform complete deterministic document analysis without requiring an AI provider, API key, GPU, or external AI service. Choose from built-in review types - Supplier Risk, Internal Audit, Executive Due Diligence, or Custom Review - and generate a decision-ready Word (DOCX) report with findings tied directly to source pages through exact page citations.

• Eliminate external data exposure - Documents never leave your AWS environment, removing third-party risk from sensitive review workflows
• Accelerate evidence-backed reporting - Go from PDF upload to stakeholder-ready Word report with page-cited findings in a single workflow
• Reduce manual review effort - Deterministic evidence extraction replaces time-consuming manual page-by-page document review
• Maintain full audit traceability - Every finding in the generated report includes exact page citations back to the source document

1. Upload your PDF to the application running on your EC2 instance
2. Select a review type that matches your use case
3. The Verified Evidence engine performs deterministic analysis and extracts page-cited findings
4. Download a professional Word report ready for stakeholders and decision-makers
5. Optionally deliver completed reports to your private S3 bucket before automatic EC2 shutdown

For teams that want deeper analysis beyond deterministic evidence retrieval, Verified Evidence plus AI Analysis supports multiple provider choices:

• Amazon Bedrock - Uses your EC2 IAM role without storing AWS access keys, keeping credentials secure
• OpenAI or Anthropic - Configure your own API credentials for external AI synthesis
• Local Muse - Run private local inference on a compatible NVIDIA GPU instance with no data leaving your account

These AI services are entirely optional and are not required for the core Verified Evidence workflow. Note that OpenAI and Anthropic options may send selected review or document content to those external providers and may incur separate provider charges.

Private Document Evidence Analyst is built around a privacy-first architecture:

• Customer-controlled deployment - The product runs as an AMI in your AWS account; documents never leave your environment
• First-boot generated credentials - Unique access credentials are generated at initial launch
• HTTPS access - Secure encrypted connection to the application interface
• No external data transfer - Source PDFs are not copied to S3; only completed Word reports are optionally delivered to your private bucket
• IAM role-based access - Amazon Bedrock and S3 integrations use your EC2 IAM role rather than stored access keys
• Persistent storage - Review history, documents, reports, provider settings, and configuration persist across EC2 stop and start cycles

The product includes automatic EC2 cost controls to help manage spend. When using S3 report delivery, if a required delivery fails, the instance remains running so you can correct the configuration and retry rather than losing access to your report.

Private Document Evidence Analyst is CPU-first by default, combining deterministic evidence retrieval, exact page citations, professional Word output, optional AI analysis, S3 report delivery, persistent review history, and automatic EC2 cost controls - all in a deployment you own and operate.

Subscribe through AWS Marketplace, launch the AMI in your AWS account, and begin reviewing documents and generating evidence-backed reports within minutes.