The SVP's Course on Governing GenAI When Legacy Data Grows Stale

Turn strategic obsolescence into a competitive edge by mastering data governance, integration, and GenAI controls in one focused program.

$199 one-time

Tailored to your situation. 48-hour turnaround. 30-day money-back.

Includes a hand-built implementation playbook generated for your specific situation, on top of the course.

Why this course

Your data estate is a patchwork of siloed warehouses, manual pipelines, and legacy taxonomies that cannot keep pace with rapid GenAI adoption. Every new model request triggers ad-hoc approvals, scattered spreadsheets, and compliance alerts that stall delivery and expose the firm to regulatory risk.

The governance team is juggling contradictory toolsets, catalogs, lineage scanners, and risk dashboards, while senior leadership pressures for faster insight. When a model misclassifies a client transaction, the fallout ripples through audit, legal, and reputation channels, costing time and trust.

If the friction between data stewardship and AI innovation remains unchecked, the organization will fall behind peers, face audit findings, and risk costly remediation. You need a repeatable, auditable framework that aligns GenAI outputs with existing control regimes now.

Who it is for

You are a senior data governance leader who operates at the intersection of policy, technology, and business risk. Your day includes reviewing data lineage, approving AI use cases, and translating regulatory mandates into actionable controls, all while keeping pace with rapid model deployments and stakeholder expectations.

What you walk away with

Create a unified governance framework that maps GenAI outputs to existing data controls.
Implement automated lineage and impact analysis for AI-driven data pipelines.
Design risk-based approval workflows that satisfy ISO 27001 and NIST 800-53 requirements.
Develop measurable KPIs to track data quality and model compliance across the enterprise.
Produce audit-ready documentation for AI model governance within 48 hours of deployment.

The 12 modules

Module 1. Foundations of GenAI Governance

Define the core principles that bind AI models to data governance policies.

Module 2. Mapping Controls to AI Assets

Translate ISO 27001 and NIST 800-53 controls into actionable steps for GenAI projects.

Module 3. Data Lineage for Model Inputs

Automate end-to-end tracing of data sources feeding AI models.

Module 4. Risk-Based Approval Workflows

Build tiered approval processes that align with regulatory risk levels.

Module 5. Metadata Management for AI

Standardize metadata capture to support audit and impact analysis.

Module 6. Integrating Data Catalogs with Model Registries

Synchronize catalog tools and model registries for seamless governance.

Module 7. Automated Compliance Checks

Deploy scripts that continuously validate AI outputs against policy rules.

Module 8. Quality Metrics and Monitoring

Establish real-time dashboards for data quality and model performance.

Module 9. Incident Response for AI Failures

Create a playbook for detecting, reporting, and remediating model errors.

Module 10. Audit Trail Generation

Produce ready-to-use audit artifacts for every model lifecycle stage.

Module 11. Stakeholder Communication Protocols

Design clear briefing templates for executives, risk, and compliance teams.

Module 12. Continuous Improvement Loop

Implement feedback cycles that refine governance as models evolve.

FAQ

Do I need prior AI technical expertise to take this course?

No, the curriculum is built for data governance leaders and focuses on processes, controls, and integration mechanics.

Will the frameworks align with our existing ISO 27001 program?

Yes, each module maps directly to ISO 27001 and NIST 800-53 controls, providing ready-to-apply artifacts.

How much time will I need to complete the course?

The 12 modules are designed for a part-time schedule, roughly 4 hours per week over three months.

What support is available after I finish the training?

You receive a 30-day access to the community forum and a template library for ongoing governance work.

Built on the corpus. Built on The Art of Service’s corpus of 718 source-grounded frameworks, 28,586 controls with auditor evidence, and 332K+ cross-framework mappings, this course leverages ISO 27001, NIST 800-53, and SOC 2 standards to ensure your GenAI governance is audit-ready.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, email Gerard and you get a full refund. No questions, no forms.