AI Governance Policy Builderv1.1.0

A bank needs to create an internal policy to govern AI use, ensuring compliance with SOX and PCI-DSS while preventing unauthorized shadow AI tools. The policy will define permitted data tiers for AI systems and set thresholds for autonomous financial decisions requiring human review.

A hospital is procuring an AI tool for medical diagnostics and must assess vendor contracts against HIPAA requirements. This involves verifying data processing agreements, ensuring no training on patient data, and confirming indemnification for AI output liability.

A European startup using AI in HR screening needs to classify its systems under the EU AI Act's risk categories. This requires conducting conformity assessments for high-risk applications and implementing transparency obligations for limited-risk chatbots.

A manufacturing firm aims to formalize AI oversight by setting up a governance committee with representatives from legal, security, and business departments. The committee will review new AI use cases monthly and handle incident response protocols.

A retail company is integrating AI for customer service chatbots and must audit data flows to ensure compliance with GDPR. This includes documenting input/output data, verifying data minimization practices, and confirming deletion capabilities.

Offer tailored consulting to help organizations build and implement AI governance policies from scratch, including acceptable use frameworks and compliance mapping. Revenue is generated through project-based fees and ongoing advisory retainers.

Provide a software-as-a-service tool that automates policy creation, vendor evaluation scorecards, and compliance tracking. Revenue comes from subscription tiers based on organization size and feature access.

Deliver workshops and certification courses on AI governance best practices, targeting enterprises seeking to upskill teams. Revenue is earned through course fees and certification renewals.