AI Governance Portfolio
AI Risk Management & Control Assessment Toolkit
Ask most organizations for their AI risk position and you'll get an opinion, a sense that legal reviewed something, that a control exists somewhere, that a system was probably vetted. What's usually missing is the paper trail connecting the risk that was identified, the control that was tested, and the residual risk that was formally accepted, by name and by date.
Our AI Risk Management & Control Assessment Toolkit turns that opinion into a record, linking enterprise-wide AI risk, control maturity, and individual system screening into a single, defensible workflow.
Who Is This Toolkit For?
Six different people can be asked about the same AI system's risk and give six different answers, not because they disagree, but because each is scoring against a different scale. The business owner accountable for the use case, the AI or model owner running it, legal and compliance weighing the exposure, information security reviewing access and resilience, procurement vetting the vendor, and the AI governance committee expected to sign off are often at the center of the process. Depending on the organization, risk, privacy, audit, data, product, technology, and other business stakeholders may also be involved. None of them are wrong, they're just not speaking the same language.
This toolkit gives all of these groups the same scale to work from, one likelihood-and-impact model, one control-maturity scoring method, and one dashboard that turns multiple perspectives into a single, comparable risk position instead of separate spreadsheets nobody can reconcile.
What Is Included In The Toolkit
✔ Workbook (.xlsx): AI Organization Risk & Control Assessment Workbook
✔ Workbook (.xlsx): AI System Risk Assessment Workbook
✔ User Guide (.pdf): AI Risk Management & Control Assessment Toolkit User Guide
Built Around:
✔ 18-Domain Enterprise AI Risk Register
✔ 32-Control Governance & Risk Control Assessment
✔ Regulatory & Impact Screening Engine
✔ 24 Pre-Built AI Lifecycle Risk Scenarios
✔ Integrated Remediation Tracking & Dashboard Reporting
Why Start Now?
Every AI framework in circulation right now—and every emerging AI regulation—asks a version of the same question: what did you know about this risk, when did you know it, and what did you do about it? The requirement isn't a particular format, it's having a clear, auditable record that can be demonstrated when needed.
This Toolkit builds that answer directly into the numbers. Inherent risk is calculated as likelihood multiplied by impact, control coverage is derived from the average maturity of the controls mapped to each risk, and residual risk is calculated from the two together, the same logic, applied consistently at both the enterprise level and the individual system level, so nobody has to reinvent the math case by case.
Risk that isn't documented doesn't disappear, it just surfaces at the worst possible moment, usually as a question from an auditor, a customer, or a regulator that nobody in the room is prepared to answer. Documenting the position now is what turns that moment into a routine export instead of a scramble.
Suggested Use Cases
Use the AI Risk Management & Control Assessment Toolkit to assess enterprise AI risk, evaluate control maturity, screen and score individual AI systems, and report a defensible risk position to leadership.
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Enterprise Risk Baseline: What are our organization's AI risks today, and who owns each one?
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Control Maturity Review: Are our AI controls designed adequately, and do they actually operate as intended?
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System-Level Screening: Does this AI system trigger enhanced review, and what's the residual risk once existing controls are considered?
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Governance Reporting: Can we show leadership, in one dashboard, which risks and actions need attention right now?
Learn More:
(1) AI Organization Risk & Control Assessment Workbook
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Purpose: Assesses the organization-wide AI risk and control environment by combining an enterprise AI risk register, a structured control assessment, remediation tracking, and a leadership dashboard.
This Workbook is built around:
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An 18-domain Enterprise Risk Register with likelihood, impact, and automatically calculated inherent and residual scores.
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A 32-control Control Assessment covering implementation status, design adequacy, and operating effectiveness.
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An Action Tracker that pulls owner, priority, and suggested remediation directly from control gaps.
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A Leadership Dashboard summarizing residual risk, control gaps, and open actions in one governance-ready view.
Example Use Case: Leadership asks for a consolidated view of the organization's AI risk exposure. Rather than collecting updates from multiple teams and reconciling competing assessments, the AI Governance lead uses this workbook to identify enterprise AI risks, evaluate control maturity, track remediation activities, and report a consistent risk position through a single dashboard.
Simple Artifacts to Produce: (1) a scored enterprise AI risk register with named owners; (2) a control maturity and gap assessment; and (3) a leadership dashboard for governance reporting.
(2) AI System Risk Assessment Workbook
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Purpose: Assesses one named AI system or use case, documenting the system profile, regulatory and impact screening, lifecycle risk scenarios, existing controls, residual risk, treatment decisions, and approval readiness.
This Workbook is built around:
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A System Profile and Regulatory/Impact Screening that flags prohibited-practice, high-risk, DPIA, FRIA, and agentic-AI review triggers automatically.
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24 pre-populated lifecycle risk scenarios with applicability logic tied back to the screening responses.
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Likelihood, impact, and control-effectiveness fields that calculate inherent and residual risk per scenario.
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A System Dashboard confirming approval readiness and surfacing management-attention items before deployment.
Example Use Case: An AI governance committee is asked to review a new AI use case before it goes live. Rather than relying on presentations and informal discussions, the committee uses this workbook to assess regulatory triggers, evaluate lifecycle risks, document controls, and determine whether the system is ready for approval.
Simple Artifacts to Produce: (1) a completed system profile with regulatory screening results; (2) a scored risk register for that system with treatment decisions; and (3) an approval-readiness dashboard.
How Our Toolkits Work
To obtain instant access, add the AI Risk Management & Control Assessment Toolkit to your shopping cart and proceed to our Checkout page. Upon completion of purchase, you will be able to immediately download the toolkit on your User Dashboard.
We can also separately invoice you or your organization prior to submitting payment, if desired. This allows us to add your organization’s tax-related information, purchase order numbers, or any other additional information needed by your organization onto the invoice. To find out more, please reach out to us at hello@privacybootcamp.com.
After payment, you will have three months to download your toolkit. The use of our toolkits, and any specific document contained therein, is subject to our Terms and Conditions.
How Our Toolkits Work
To obtain instant access, add the AI Risk Management & Control Assessment Toolkit to your shopping cart and proceed to our Checkout page. Upon completion of purchase, you will be able to immediately download the toolkit on your User Dashboard.
We can also separately invoice you or your organization prior to submitting payment, if desired. This allows us to add your organization’s tax-related information, purchase order numbers, or any other additional information needed by your organization onto the invoice. To find out more, please reach out to us at hello@privacybootcamp.com.
After payment, you will have three months to download your toolkit. The use of our toolkits, and any specific document contained therein, is subject to our Terms and Conditions.