Enterprise Document Intelligence & Compliance Automation

An AI automation platform that transforms enterprise documents into published sites and automates compliance workflows using Box AI and watsonx.ai.

Overview

Two Core Capabilities:

1. Documentation Automation - Transform Box documents into live GitHub Pages sites automatically
2. Compliance Automation - Analyze security reports, generate tasks, and orchestrate automated remediation

Architecture: Analysis pipeline generates insights → AI Agent executes workflows

Business Impact

Time Savings

• Documentation: 400-600 hours saved per 100-page site (manual → automated)
• Processing Speed: 50 documents published in 30 minutes vs. 200+ hours manually
• Quality Checks: 70% reduction in manual effort

Performance

• 17 seconds average per document
• 83% AI extraction accuracy
• 2-5 minute deployment cycles

Architecture

Two Layers: Analysis (AI processes inputs) → Action (Agent executes workflows)

Documentation Pipeline

Box documents → AI processing → Published documentation site

Compliance Pipeline

Security reports → AI identifies issues → Remediation tasks generated

Workflows

Ticket Creation

Pipeline sends task → Agent validates → Creates ticket with evidence

Auto-Remediation

Non-production environments: Automatically fixes issues with validation and rollback

Multi-System Flow

AI Agent coordinates across ServiceNow, JIRA, Ansible, and Slack

Technology Stack

AI & Processing:

• Box AI for document intelligence
• watsonx.ai for agent orchestration
• Python for pipeline framework

Automation:

• Ansible for remediation playbooks
• GitHub Actions for CI/CD

Integration:

• ServiceNow, JIRA, Slack APIs
• GitHub Pages for publishing
• MkDocs for documentation sites

Supported Technologies:

• WebSphere, DB2, IBM MQ
• Linux, AIX, Windows
• Generic application controls

Key Features

Document Intelligence:

• Automated metadata extraction
• AI-generated summaries
• Quality analysis and validation
• Multi-format support

Compliance Automation:

• Security report analysis
• Root cause identification
• Technology-aware task generation
• Automated evidence collection

Safety Controls:

• Environment verification (prod vs. non-prod)
• Validation before and after changes
• Automatic rollback on failure
• Complete audit logging

Results

Operational Excellence:

• Dramatically reduced manual effort across teams
• Consistent, high-quality automated workflows
• Freed capacity for strategic work

Risk Reduction:

• Faster issue identification and resolution
• Complete audit trails for compliance
• Validation-driven approach ensures quality

Scalability:

• Foundation for enterprise-wide automation
• Single source of truth for documentation
• Supports organizational growth

Use Cases

Documentation:

• Technical documentation publishing
• Policy and compliance documentation
• Knowledge base management
• Release notes automation

Compliance:

• Security health check processing
• Automated remediation workflows
• Compliance reporting
• Change management orchestration