AI Officer (Fractional)

The Problem

AI is moving through your organization whether you're directing it or not. Tools are being adopted. Decisions are being made. Vendors are pitching.

The question your leadership team needs to answer: who owns this? Everyone assumes someone else is responsible.

Without executive-level AI oversight, organizations accumulate risk quietly. Governance gaps widen. Investments land without measurable return. Teams build capability in one department while another starts from scratch six months later. A fractional AI Officer closes that gap.

What This Engagement Delivers

AI Strategy Aligned to your Business

A roadmap built from your business goals, your current capabilities, and your risk tolerance. Grounded in NIST AI RMF and ISO 42001; the frameworks your auditors and regulators are beginning to require.

Workforce Training

AI literacy programs designed for your actual team from frontline staff to senior leadership. Built and delivered by someone who has trained municipal governments, corporate teams, and nonprofit organizations.

Independent Vendor Evaluation + Oversight

Every tool recommendation arrives without a referral agreement or preferred vendor relationship. Your organization gets an honest evaluation.

Governance That Holds

Clear ownership. Defined accountability. Documented policies your organization can defend in a board meeting, a regulatory review, or a public audit.

Workforce Training That Sticks

AI literacy programs designed for your actual team, not a generic slide deck. Built and delivered by someone who has trained municipal governments, Fortune-adjacent corporations, and nonprofit leadership.

Executive and Board Communication

Your board and your leadership team need to understand AI risk in plain language. Translating the complex into the consequential is a specific skill. It requires the same discipline as reporting a story accurately under deadline.

Ongoing Advisory + Trusted Experience

AI strategy isn't a one-time document. As your tools, your team, and your risk exposure evolve, the strategy evolves with them. I'm an an AI executive who pressure-tests vendor claims the way a journalist pressure-tests a source, communicates risk the way a crisis communicator builds public trust, and governs AI the way an institution protects its reputation.

Frequently Asked Questions

What is an AI Officer

An AI Officer serves as the primary point person responsible for overseeing the implementation of the company's AI policy and ensuring that AI initiatives are developed and deployed responsibly, ethically, and in compliance with relevant laws and regulations. This role incorporates a deep understanding of current AI technologies, ethical principles, and regulatory frameworks.

What is that person's key responsibilities?

A fractional chief AI Officers job may entail any or all of these functions:

1. AI Policy Implementation and Monitoring

Oversee the development and enforcement of the company's internal AI policy.
Monitor adherence to AI policy guidelines and ethical principles across the organization.
Regularly review and update the AI policy to align with evolving industry best practices and standards.

2. AI Ethics and Governance

Ensure that AI initiatives are developed and deployed in an ethical and responsible manner.
Promote transparency, fairness, and accountability in AI systems.
Manage the effective implementation of AI Governance and Compliance platforms (‘AI System of Record’) that enable proper AI oversight across the organization.

3. AI Risk Management

Collaborate with the AI risk management team to identify, assess, and mitigate potential AI risks.

4. Legal and Regulatory Compliance

Stay informed about evolving AI-related legal and regulatory requirements.
Ensure that AI initiatives are developed and deployed in compliance with relevant laws and regulations.
Guide AI compliance for applicable compliance standards important to the organization (ex SOC 2 compliance)

5. Cross-functional Collaboration

Work closely with various departments, such as data science, engineering, legal, marketing, sales and compliance teams, to ensure a coordinated approach to AI development and deployment.
Facilitate open communication and collaboration among stakeholders to address AI-related challenges and opportunities.
Guide the efforts of the organization’s AI Governance Board and other related entities tasked with leading the organization’s cross-functional AI policies and efforts.

6. AI Performance and Impact Evaluation

Establish metrics and benchmarks to evaluate the performance and impact of AI systems on the organization and its stakeholders.
Monitor AI system performance and identify areas for improvement or potential ethical concerns.
Communicate AI system performance and impact to senior management and relevant stakeholders.

7. External Communication and Reporting

Represent the company in external forums, such as industry events, conferences, and regulatory discussions, related to AI ethics and governance.
Communicate the company's approach to responsible AI use to external stakeholders, including customers, partners, and regulators.
Prepare and present reports on AI-related compliance, performance, and impact to senior management, boards, and external stakeholders, as required.

start with an ai audit>>

Get an honest diagnosis and a roadmap

The $389 Strategy Session

In sixty minutes, you get what most organizations spend months trying to build on their own: a clear picture of where your AI efforts stand, where the gaps are, and what needs to happen first.

You leave with a written map of every AI gap your organization is currently carrying; an independent evaluation of what your organization actually has, what it's missing, and what the exposure is.
You also leave with a prioritized action plan built around your actual operations.

The session fee credits fully toward any engagement. If you do not leave with a clear, actionable diagnosis, you pay nothing..

BOOK YOUR AI STRATEGY CALL

A fractional Chief AI Officer without the full-time salary

Leadership, Accountability, Results