Fractional Chief AI Officer Services — AI Leadership Without the Full-Time Hire
Three structured monthly engagements that bring senior AI leadership to your business — from initial governance and policy through full implementation and innovation. Choose the tier that matches where you are.
$2,500
/month starting tier
3 mo
structured onboarding
1/10
the cost of a full-time CAIO
Most businesses know they need AI leadership but aren't ready for a full-time hire. A Fractional Chief AI Officer engagement gives you senior AI strategy, governance, and implementation expertise on a monthly retainer — at a fraction of the cost. Our three packages match the stage you're at: from setting up the basic governance every business needs, through running operational improvements with AI, to acting as your ongoing AI leader across strategy, training, ROI, and innovation.
What's Included
Monthly leadership engagement
Direct work with your leadership team on AI strategy, governance, and execution.
AI governance & risk frameworks
Clear ownership, approval processes, risk register, and company-wide usage rules.
SOPs & employee training
AI usage SOPs, department playbooks, prompt libraries, and live training sessions.
Practical AI roadmap
Prioritized AI opportunities with effort, cost, risk, and ROI estimates for your business.
Privacy & data handling
Guidance on AI-safe use of client data, internal documents, and confidential information.
ROI tracking & reporting
Estimated time savings, financial impact, and a leadership-facing AI scorecard.
Who This Is For
Packages & Pricing
Three structured monthly engagements. Pick the tier that matches where you are — switch up as your AI maturity grows.
AI Foundation & Governance Package
Structure, rules, and a practical starting point.
Month 1: AI Discovery & Governance Setup
- Conduct AI discovery session with leadership team
- Review current AI usage across the business
- Identify key operational areas where AI could improve efficiency
- Create an initial AI governance structure, including who is responsible for AI decisions
- Draft basic AI usage rules for employees
- Identify risks around privacy, data security, accuracy, and employee misuse
Month 2: SOPs & Employee Enablement
- Create a company-wide AI Usage SOP
- Define approved and unapproved AI use cases
- Create rules for using AI with client data, internal documents, and confidential information
- Develop simple prompt templates for common business tasks
- Run one employee AI training session
- Identify 3–5 practical AI tools the company can begin using
Month 3: AI Roadmap & ROI Review
- Identify 5–10 AI opportunities across operations, admin, sales, marketing, HR, or customer service
- Prioritize opportunities based on effort, risk, cost, and potential ROI
- Estimate time savings and financial impact for top AI opportunities
- Recommend quick-win AI implementations
- Create a 90-day follow-up roadmap
AI Operations & Implementation Package
Strategy, training, workflow design, and pilots.
Month 1: AI Strategy, Governance & Operational Audit
- Conduct leadership AI strategy workshop
- Review business operations, workflows, tools, and bottlenecks
- Identify AI opportunities across departments
- Establish an AI governance model with clear ownership and approval processes
- Create an AI risk register
- Define company-wide AI usage principles
Month 2: SOPs, Training & Workflow Design
- Create detailed AI SOPs for employee usage
- Create department-specific AI guidelines
- Build prompt libraries for sales, marketing, admin, operations, HR, and leadership
- Run up to two employee training sessions
- Design 2–3 AI-powered workflow improvements
- Recommend tools, automations, or custom AI solutions
Month 3: Pilot Implementation & ROI Reporting
- Support implementation of 1–2 AI workflow pilots
- Track adoption, time savings, quality improvements, and cost reduction
- Estimate financial ROI from implemented or proposed AI initiatives
- Provide recommendations for scaling successful pilots
- Introduce relevant emerging AI tools or technologies for competitive advantage
Fractional Chief AI Officer Package
Ongoing AI leadership across the whole company.
Month 1: AI Leadership, Governance & Company-Wide Audit
- Audax acts as the company's fractional Chief AI Officer
- Lead AI strategy and decision-making with the leadership team
- Conduct a company-wide AI readiness assessment
- Review operations, software tools, data, employee workflows, and current AI usage
- Establish an AI governance committee or leadership cadence
- Define AI ownership, approval processes, and risk controls
- Create an AI opportunity backlog across all major departments
Month 2: SOPs, Department Enablement & Implementation Planning
- Create full company AI policy and SOP framework
- Create department-specific AI playbooks
- Run up to three employee or leadership training sessions
- Build custom prompt libraries and workflow templates
- Select 2–4 priority AI initiatives for implementation
- Create implementation plans for each selected initiative
- Evaluate AI tools, vendors, automation platforms, or custom development options
Month 3: AI Implementation, ROI & Innovation Roadmap
- Lead implementation of 2–3 AI pilots or workflow improvements
- Monitor employee adoption and provide guidance as needed
- Track operational efficiency gains and estimated financial ROI
- Create a leadership-facing AI scorecard
- Recommend emerging technologies that could improve competitiveness
- Identify opportunities for custom AI tools, AI agents, automations, or software integrations
Ready for Senior AI Leadership?
Get an executive-level perspective on AI strategy, governance, and ROI — starting this month.
Book a Free CallFrequently Asked Questions
A CAIO operates AS an executive in your business with ongoing strategic responsibility — sitting at the leadership table, owning governance, and driving adoption. A consultant typically delivers a defined project and leaves. Our monthly engagements give you that ongoing leadership cadence at a fraction of a full-time hire's cost.
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