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In many organisations, AI adoption is accelerating faster than governance structures.
Teams experiment with models. Departments deploy AI tools. Executives expect innovation.
But very few organisations establish the basic control structures required to govern these systems.
The Governance Gap
A five-layer governance model for operational AI oversight:
The AI Governance Spine™ Framework
The AAISM Program


Implementable governance templates including AI charters, RACI models, risk appetite definitions and intake gates.

Practical governance capabilities you can implement immediately.
Design AI governance structures
Create authority models, oversight structures and accountability frameworks for AI systems.
Classify AI systems by risk
Identify high-risk AI use cases and governance requirements.
Implement governance artifacts
Deploy governance charters, RACI models, risk appetite definitions and AI intake gates.
Prepare for regulatory scrutiny
Align AI governance practices with emerging regulatory expectations and internal audit standards.
Run AI governance reviews
Evaluate AI systems using structured governance assessment methods.
I risk into control language
Translate AI risk into control language
Communicate AI risk clearly to executives, risk committees and auditors.
Governance decides - Operations deliver - Assurance proves
Governance Capabilities You Will Build
Prakash Thirugnana Sambandham
VP — Global SOX | MUFG Cloud | Cybersecurity | Technology Risk
CISSP | CISA | CISM | CCSP | TOGAF
Prakash is a technology risk and security professional
with nearly 25 years of experience in IT controls, cybersecurity, and governance
within regulated financial institutions.
He currently works in Global SOX oversight, focusing on cloud security, technology risk,
and operational control environments where systems must withstand
internal audit review and regulatory scrutiny.
The AI Governance Spine framework introduced in this program reflects lessons from
real governance environments where AI systems must satisfy risk management,
control validation, and audit evidence requirements.
The goal is simple:
Move AI governance from theory to operational practice.
About The Author
Built for CISA, CISM, and CISSP holders who are now responsible for governing
AI systems in regulated organisations.
• IT Audit Professionals • Internal Audit Teams
• Technology Risk Managers • Governance & Compliance Officers
• Cybersecurity Leaders • AI Governance Managers
Who This Program Is For
Standard
$24.99
Video Course
Governance Artifacts
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Professional
$49.00
Full Course
Editable Artefacts
Exam Prep - Q&A Engine
Enroll - Professional
Not ready to enrol? Download the free Governance Readiness Diagnostic
30-day satisfaction guarantee. If this course does not meet professional
expectations, full refund."
AAISM provides a structured framework and practical artifacts
for governing AI systems in real environments.
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