Skip to content
TRAC-Logo
 

Frustration-Free Risk Management

Simplify cybersecurity risk management and tackle your cybersecurity challenges with ease. TRAC is a powerful GRC tool that automates the tedious risk assessment process and delivers customized results aligned with regulations, best practices, and your strategic goals.

Virtual Chief AI Officer vCAIO

SBS’s vCAIO program helps your organization harness AI confidently. We build an executive-level AI strategy, establish governance and risk management, train your people, validate vendors, and guide AI pilot projects that deliver measurable outcomes. Our approach is grounded in the NIST AI Risk Management Framework and the NIST Cybersecurity Framework.
Header_vCAIO

Is Your AI Program Intentional or Accidental?

AI is already in your environment: employees experiment, vendors embed AI into products, and customers interact with AI-driven services. Without governance, that introduces compliance, security, and reputational risk. A vCAIO brings the structure and oversight needed to manage these risks and turn AI into a strategic advantage.

Icons_DocumentT Governance and Risk Management Leverage our expertise across privacy, security, ethics, data quality, and AI oversight.  
Icon_FlowG Structure, Accountability, Momentum Your dedicated SBS vCAIO aligns AI with your strategy — ensuring progress without surprises.  
Icons_LightBulbY Continuous Oversight and Value

We monitor trends, refine controls, and expand AI’s impact across your organization.

 

Leading AI Strategy Across Your Organization

Your dedicated virtual chief AI officer provides leadership and guidance to ensure you’re using AI safely, responsibly, and securely.

1
Develop AI Strategy

Define clear business objectives and identify how AI can drive value across your organization.

2
Create an AI Team
Assemble a cross-functional team of stakeholders, experts, and project managers to lead and champion AI initiatives.
3
AI Risk Assessment
Evaluate potential risks, including data privacy, model bias, and operational vulnerabilities associated with AI deployment.
4
Compliance and Regulations
Ensure all AI solutions and usage adhere to relevant legal, regulatory, and industry standards, including data protection laws.
5
Ethical Principles
Establish guidelines to ensure AI systems are transparent, fair, accountable, and aligned with organizational values.
6
AI Risk Mitigation
Implement safeguards such as robust data governance, model validation protocols, and contingency plans to address identified risks.
7
Proof of Concept
Launch pilot projects or AI experiments to validate feasibility, measure impact, and refine approaches before full-scale implementation.
8
Long-Term Vision
Develop a roadmap for scaling AI capabilities, maintaining infrastructure, and evolving with technological advancements.
9
Deliverables
Document and communicate key outcomes, performance metrics, and lessons learned to inform future AI initiatives.

START YOUR vCAIO PROGRAM

Experience a structured, secure path to AI value — without sacrificing compliance or control.

Our Approach to vCAIO

We take a transparent, programmatic approach that blends strategy, risk, and enablement — delivered remotely by default, with on‑site support approved as needed.

Scope

Co-create a business-aligned AI strategy with clear goals, ROI, and milestones for adoption.
Define your AI strategic team of stakeholders, champions, ambassadors, and adopters.
Implement an AI governance framework covering asset inventory, threat modeling, data governance, privacy, vendor management, and risk mitigation.
Establish acceptable use guidelines with clear approvals and boundaries that enable productivity while preventing data leakage and unethical use of AI.
Evaluate vendor management practices to ensure AI usage is properly assessed using standardized question sets or deeper evaluation for AI-heavy vendors.

Deliverables

The AI strategy document includes timelines and milestones that will act as your strategic foundation for artificial intelligence at your organization.
The AI risk assessment report highlights challenges and opportunities, serving as a roadmap for establishing a culture of safe and informed AI use.
Business-specific AI pilot projects offer high-impact, low-complexity proofs of concept that optimize AI deployment with minimal risk and resources.
The AI compliance framework includes policies and procedures, guidance on monitoring and best practices, and training for key staff on Microsoft Copilot, ethical AI use, and practical implementation across your organization.

Frequently Asked Questions

What’s the difference between a vCAIO and a vCISO? A vCISO focuses on cybersecurity strategy and risk, while a vCAIO focuses on AI strategy, governance, training, vendors, and value delivery in close partnership with security and compliance. Many clients leverage both roles to accelerate safe AI adoption.
Do we need a specific AI platform to start? No. We begin with business goals and governance, then evaluate tools and vendors based on risk, value, and fit.
Will you train our team on Microsoft Copilot?

Yes. We deliver train-the-trainer Copilot enablement across Microsoft 365, with safe-use guardrails and practical use cases.

How do you handle compliance and evolving regulations?

We map your AI activities to regulatory expectations and implement policies, training, and monitoring for ongoing alignment.

Can you vet AI vendors? Yes. We provide AI-specific question sets and perform detailed assessments for high-impact solutions, especially those that handle sensitive data or are integrated into core processes.
Is this remote or on‑site? Our vCAIO service is remote-first. On-site visits are approved jointly, and the client covers expenses and any additional consulting hours.