AI Strategy
Fractional CAIO Led Programs & Workshops
AI Strategy on a Page
What your Fractional CAIO Will Deliver in a Strategy Package
1. Vision & Objectives
The big-picture reason for using AI:
e.g., “Improve customer experience,” “Automate repetitive tasks,” or “Gain competitive insights from data.”
The big-picture reason for using AI:
e.g., “Improve customer experience,” “Automate repetitive tasks,” or “Gain competitive insights from data.”
2. Ethics & Governance
Policies for privacy, fairness, transparency, and regulatory compliance.
Risk management and responsible AI principles.
Policies for privacy, fairness, transparency, and regulatory compliance.
Risk management and responsible AI principles.
3. Use-Case Identification
Which processes or products will benefit most from AI.
Example: predictive maintenance, fraud detection, personalized recommendations.
Which processes or products will benefit most from AI.
Example: predictive maintenance, fraud detection, personalized recommendations.
4. Data & Infrastructure
Plans for collecting, cleaning, and managing data (the fuel for AI).
Cloud vs. on-premise computing, storage, and AI tools.
Plans for collecting, cleaning, and managing data (the fuel for AI).
Cloud vs. on-premise computing, storage, and AI tools.
5. Talent & Skills
Hiring or training data scientists, engineers, and product teams.
Upskilling current staff to work with AI systems.
Hiring or training data scientists, engineers, and product teams.
Upskilling current staff to work with AI systems.
6. Implementation Roadmap
Timeline, budgets, and milestones.
Pilot projects, scaling strategy, and success metrics (KPIs).
Timeline, budgets, and milestones.
Pilot projects, scaling strategy, and success metrics (KPIs).
7. Partnerships & Ecosystem
Collaboration with universities, startups, or technology vendors.
Collaboration with universities, startups, or technology vendors.
PAYG AI Leadership
AI Strategy & Governance
Build clear frameworks so every AI decision advances business strategy, manages risk, and reinforces trust with internally and externally.
Stakeholder Management
Bring together researchers, vendors, internal teams, and customers so AI efforts stay practical, valuable, and widely adopted.
Use Case Development
Identify, validate, and prioritize AI opportunities where investment creates measurable impact, instead of chasing hype or shiny distractions.
Design Thinking for AI
Apply human-centered methods to shape AI around real problems and outcomes, ensuring adoption, trust, and tangible business value.
For us, bringing in a CAIO was the responsible thing to do. It’s not about chasing the latest shiny object, it’s about staying competitive, protecting company culture, and making sure AI is used with purpose. It was important for us that AI was represented in the C-Suite as an interdepartmental role that reported directly to the CEO so that all stakeholders were consulted and represented. CEO - Manufacturing Company, Abu Dhabi
“We know publishing is being disrupted in a big way by AI. Digital transformation has always been a challenge for us and, as the Red Queen said, sometimes you have to run as fast as you can just to stay in the same place. We chose to get out in front of what’s coming—that’s why we brought in a Fractional CAIO." Editor in Chief, Trade Publication, London
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