Executive AI Leadership to Turn AI Ambition into Governed, Production-Ready Outcomes

Most organizations now have AI activity in every function and AI leadership in none. Pilots multiply, vendors pitch, boards ask for an "AI strategy," and regulators publish new expectations faster than teams can read them — but no single executive owns the outcome. A Fractional Chief AI Officer (also called a fractional CAIO or interim Head of AI) gives you that owner: one accountable leader who sets AI strategy, stands up governance, and makes sure the AI you ship is safe, compliant, and actually tied to business value — on a part-time, retained basis that scales with your ambition.

At SNM Consulting Inc., Aruneesh Salhotra serves as a Fractional Chief AI Officer for organizations that need executive AI leadership now — bringing hands-on experience from AI security standards work with the OWASP AI Exchange and OWASP AIBOM, and from advising boards on AI risk.

Why You Need a Fractional Chief AI Officer

AI has moved from experiment to expectation, and the gap between the two is where the risk lives:

• AI Sprawl Without Ownership — Teams adopt copilots, agents, and third-party models independently. No one has a full inventory, a shared risk view, or the authority to say yes or no.
• The Board Is Asking — Directors, investors, and audit committees want a credible AI strategy, a named owner, and evidence that AI risk is being managed — not a deck of demos.
• Regulation Is Arriving Fast — The EU AI Act, NIST AI RMF, ISO/IEC 42001, and sector rules all assume a defined owner for AI risk decisions, documentation, and accountability.
• Pilots Stall Before Production — Promising prototypes never ship because security, legal, data, and procurement questions surface late and no one is empowered to resolve them.
• A Full-Time CAIO Is Premature — You need the judgment of a senior AI executive, but not yet the cost or the org-chart commitment of a permanent hire.

A Fractional Chief AI Officer closes that gap immediately, at a cost and time commitment matched to where your AI program actually is.

Our Fractional Chief AI Officer Services

AI Strategy & Roadmap

We define where AI creates real advantage for your business and sequence the work to get there.

AI Vision & Business Alignment

• Translate business objectives into a focused set of AI use cases with clear value hypotheses and owners.
• Separate genuine differentiation from undifferentiated "me too" AI spend.

Prioritized AI Roadmap

• Build a 6–12 month roadmap with sequencing, dependencies, build-vs-buy calls, and rough cost ranges.
• Align investment with data readiness, risk appetite, and regulatory timelines — not vendor roadmaps.

AI Investment & Portfolio Planning

• Establish a portfolio view across experiments, pilots, and production systems with stage gates and kill criteria.
• Defend the AI budget in terms the CFO and board understand, and reallocate as evidence comes in.

AI Governance, Risk & Compliance

We stand up practical governance and carry the named-owner responsibility for the frameworks your customers and regulators expect.

AI Governance Program

• Create an AI policy, acceptable-use standards, and an intake and review process that fit how your organization actually works.
• Establish an AI governance committee with clear decision rights, escalation paths, and review cadence.

AI Inventory & Risk Register

• Build and maintain an inventory of AI systems, models, and material third-party AI features.
• Assess each system for impact, autonomy, and data sensitivity, and maintain a plain-language AI risk register leadership can act on.

Regulatory Readiness

• Map obligations under the EU AI Act, NIST AI RMF, ISO/IEC 42001, and sector-specific rules to your systems.
• Own risk classification, technical documentation, and conformity evidence, and represent the organization in audits and customer due diligence.

Responsible & Secure AI

We make sure the AI you deploy behaves as intended and holds up under adversarial pressure.

AI Security Controls

• Set requirements for model and data supply chain integrity, prompt-injection and jailbreak resistance, access control, logging, and human oversight.
• Coordinate red-teaming and pre-deployment evaluation for high-impact systems, drawing on OWASP AI security guidance.

Model & Data Supply Chain Transparency

• Introduce AI Bill of Materials (AIBOM) practices so you know the models, datasets, and dependencies behind each system.
• Fold AI vendor and model risk into your existing third-party risk process rather than tracking it separately.

Fairness, Reliability & Monitoring

• Define acceptable-use boundaries, evaluation metrics, and monitoring for drift, degradation, and misuse in production.
• Establish incident handling for AI-specific failures and a path to disable or roll back systems quickly.

AI Delivery & Operating Model

We help your teams move pilots into production without cutting the corners that create liability.

Path-to-Production Standards

• Define the checklist every AI system clears before launch: data rights, evaluation, security review, human oversight, and rollback.
• Unblock stalled pilots by resolving the cross-functional questions — legal, security, data, procurement — that stop them.

AI Operating Model & Roles

• Clarify who owns models, prompts, evaluations, and monitoring across data, engineering, product, security, and legal.
• Recommend platform, tooling, and MLOps/LLMOps investments that reduce duplicated effort and shadow AI.

Vendor & Platform Strategy

• Evaluate foundation model providers, AI platforms, and application vendors against security, cost, and lock-in criteria.
• Negotiate the AI-specific terms that matter: data use, training rights, indemnification, and audit access.

Talent, Culture & Enablement

We build AI literacy and safe adoption instead of relying on policy alone.

Workforce AI Enablement

• Design role-based AI training so employees understand both the capability and the limits of the tools they use.
• Publish clear, practical guidance on approved tools, sanctioned data, and when to involve a human.

AI Champions & Community

• Identify and support AI champions across business and technical teams to spread good practice.
• Give leadership plain-language updates on adoption, value delivered, and open risks — not just model metrics.

Board & Executive Reporting

We translate AI posture into language the board and executive team can use to make decisions.

Board-Ready AI Reporting

• Deliver quarterly readouts on AI strategy progress, portfolio status, risk posture, and decisions needed.
• Brief the audit committee and represent AI risk in M&A, insurance, and customer due diligence.

Executive Advisory

• Act as the named point of contact for AI matters with regulators, customers, and partners.
• Advise leadership on the AI implications of new products, markets, acquisitions, and vendor relationships.

How SNM Consulting Inc. Helps You Succeed with AI

Partnering with SNM Consulting Inc. for Fractional Chief AI Officer services gives you:

• Executive AI Leadership, Fractional Cost — Senior AI strategy and decision-making without a full-time executive salary or a premature org commitment.
• A Named Owner — One accountable leader for AI strategy, governance, and risk that boards, auditors, customers, and regulators can point to.
• Governance That Enables, Not Blocks — A path to production that lets teams ship AI faster because the hard questions are answered once, up front.
• Security and Standards Depth — Direct experience from the OWASP AI Exchange, OWASP AIBOM, NIST AI RMF, and EU AI Act readiness work.
• Flexibility That Matches Your Stage — Scope and hours that scale up for board cycles, audits, and major launches, and back down for steady-state operation.

By partnering with SNM Consulting Inc., you get the AI leadership of a seasoned Chief AI Officer exactly when — and only as much as — your organization needs it.