Fractional Chief AI Officer with Mobile Reality Leaders for Your Business
Turn AI experiments into production systems with executive AI leadership from Mobile Reality. Our fractional Chief AI Officer services set your AI strategy, prioritise use cases by ROI, and put governance in place, without a full-time executive hire.
What Is a Fractional Chief AI Officer?
A Fractional Chief AI Officer (CAIO), also called a fractional CAIO, virtual Chief AI Officer, or outsourced AI leader, is a flexible engagement model where an experienced AI executive joins your team on a part-time basis. Instead of hiring a full-time Chief AI Officer, you get strategic AI leadership scaled to your current needs and budget.
A fractional CAIO handles the same responsibilities as an in-house Chief AI Officer: defining the AI strategy, prioritising the use-case portfolio by ROI, choosing models and vendors, designing data and evaluation pipelines, setting up AI governance and risk controls, and upskilling your teams. The difference is that you engage only the hours you need, from 20 hours per month for companies running their first pilots to 100+ hours for enterprise-wide AI transformations.
They do everything as expected and go above and beyond at times.
Founder, Leadnamic Systems Ltd
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Who Should Leverage Our Fractional CAIO Service?
Our fractional AI leadership is designed for decision-makers who are accountable for AI outcomes but don't need, or can't yet justify, a full-time Chief AI Officer.
Founder / CEO (Non-Technical)
Profile: Owns the AI narrative for customers, board, and investors, and needs a trusted AI partner.
Goals: Separate real opportunities from hype, fund the use cases that pay back, and ship something customers notice.
Engagement: Free intro and discovery, then an AI opportunity map with expected ROI, budget, and milestones. We run vendor and model selection, govern delivery, and provide board-ready reporting.
Best fits: Starter (first pilots) or Growth (scaling what worked).
CTO / VP Engineering (Over Capacity)
Profile: Already runs the platform and now owns AI on top of it.
Goals: Pick the right model and RAG or agent architecture, get evaluation and observability in place, and stop pilots dying at the demo stage.
Engagement: We set architecture guardrails, LLMOps and CI/CD for prompts and models, cost controls per token and per workflow, plus technical reviews and team upskilling. Result: fewer dead-end experiments, faster path to production.
Best fit: Growth.
Head of Product / COO
Profile: Accountable for the outcomes AI is supposed to improve.
Goals: Pick the workflows worth automating, get honest quality measurement, and prove value in the P&L.
Engagement: We run use-case discovery and scoring, define acceptance criteria and offline and online evaluation sets, design the human-in-the-loop workflow, and track adoption and unit economics. Result: fewer demos that never ship, clearer trade-offs.
Best fit: Growth.
CIO / Compliance & Risk Leader
Profile: Leads AI adoption without breaking security, privacy, or regulation.
Goals: An approved-use policy, defensible model choices, and cost control, without blocking the business.
Engagement: AI governance frameworks, EU AI Act and GDPR readiness, data residency and PII handling, model and vendor risk assessment, audit trails, and FinOps dashboards for inference spend. We start read-only, move to writes after approval, and log all actions.
Best fit: Enterprise.
Which AI Leadership Model Fits Your Stage?
Choosing the right AI leadership model depends on your maturity, budget, and risk profile. Here's how a Fractional Chief AI Officer, a Full-Time CAIO hire, and an AI consultancy's delivery team compare.
| Criteria | Fractional CAIO | Full-Time CAIO | AI Consultancy |
|---|---|---|---|
| Commitment | Part-time (20 to 100+ hrs/month), flexible terms | Full-time executive, long-term commitment | Defined scope with a dedicated team for the duration of the project |
| Monthly Cost | Fraction of a full-time salary, scales with hours | $20,000 to $45,000+/month (salary + equity + benefits) | Scoped engagement budget with transparent milestones |
| Availability | Dedicated hours weekly, async support between sessions | Full-time, always available | Dedicated delivery team focused on your AI project goals |
| Company Knowledge | Deep: embedded in your team, learns your data, product, and culture | Deepest: fully immersed daily | Focused: onboarded to project context, data, and stakeholders |
| Scalability | Scale hours up during rollout, down once AI operations stabilise | Fixed cost regardless of workload | Scale team size to match project phases and milestones |
| Breadth of Expertise | Cross-industry AI experience from multiple deployments | Deep in one company, may lack outside perspective | Full delivery team: ML engineers, data engineers, MLOps, and PMs working together |
| Risk Level | Low: no long-term commitment, easy to adjust as the AI market shifts | High: a scarce, expensive hire that is costly to get wrong | Predictable: clear scope, deliverables, and acceptance criteria |
| Best For | Companies moving from AI pilots to production without full-time executive overhead | Mature organisations where AI is the core product and a permanent P&L line | Companies ready to build or rebuild a specific AI system with a proven delivery partner |
Our Fractional CAIO Process
Explore how our structured fractional Chief AI Officer process moves you from scattered AI experiments to governed, production AI, tailored to your business growth goals.
01
Intro Meeting (Free)
We begin with a free introductory meeting to get to know your business, your data landscape, and what you expect AI to change. It's your opportunity to explore fit, value, and expectations, with zero commitment.
02
AI Discovery Phase (Free)
In two additional free discovery sessions, we review your current AI initiatives, data readiness, tooling, and constraints. This helps us shape a precise AI engagement roadmap and a shortlist of use cases worth funding first.
03
Setting Up Cooperation Rules
We define a clear engagement framework, covering roles, communication flow, timelines, deliverables, and the guardrails for what AI may touch. Transparency and structure at this stage set the tone for a productive partnership.
04
Ongoing CAIO Support
We launch ongoing AI leadership, driving strategy, architecture decisions, evaluation, governance, and vendor alignment as your portfolio grows. You get a trusted executive keeping AI investment tied to measurable business value.
Starter Package: 20 hours/month
Who is it for?
Perfect for companies running their first AI pilots who need light but senior AI direction. Includes weekly strategy calls, use-case scoping, model and tooling guidance, and flexible advisory support. Best fit for: Founder / CEO (Non-Technical).When to choose this package?
- You're starting your first AI initiatives and need part-time executive direction. Best fit for: Founder / CEO.
- You want senior AI guidance without the cost of a full-time Chief AI Officer.
- You benefit from weekly check-ins and targeted advice on models, tools, and scope.
- You need a flexible, on-demand AI executive as your plans evolve.
- You need help choosing the right use cases and avoiding pilots that never ship. Best fit for: Founder / CEO.
Growth Package: 40 to 60 hours/month
Who is it for?
Designed for companies scaling AI from pilot to production. Includes AI architecture oversight, evaluation and LLMOps setup, roadmap ownership, team enablement, and vendor collaboration. Best fit for: CTO / VP Engineering; Head of Product / COO.When to choose this package?
- You're scaling from one working pilot to a portfolio of AI use cases. Best fit for: Head of Product / COO.
- You need consistent strategic and technical oversight of AI delivery.
- You want help defining RAG, agent, and evaluation architecture. Best fit for: CTO / VP Engineering.
- You need support hiring AI engineers or upskilling your current team. Best fit for: CTO / VP Engineering.
- You want support selecting models, AI platforms, and controlling inference spend.
Enterprise/Scale Package: 80 to 100+ hours/month
Who is it for?
Best for enterprise AI transformations needing deep integration. The Chief AI Officer becomes embedded, contributing at leadership, delivery, and governance levels. Best fit for: CIO / Compliance & Risk Leader.When to choose this package?
- You need an executive-level AI leader embedded into your leadership team. Best fit for: CIO / Compliance Leader.
- You expect participation in strategic board-level decisions on AI investment.
- You're rolling AI out across multiple departments or regulated workflows. Best fit for: CIO / Compliance Leader.
- You run multiple teams shipping AI features and need central leadership.
- You require AI governance, EU AI Act readiness, model risk assessment, and audit trails. Best fit for: CIO / Compliance Leader.
What Our Fractional CAIO Service Delivers
Executive AI leadership across every dimension that decides whether AI works in your company, from strategy and use-case selection to architecture, governance, and team enablement.
AI Strategy & Use-Case Portfolio
Our fractional Chief AI Officer builds an AI strategy tied to your business objectives, not to model hype. We map candidate use cases across your workflows, score them by value, feasibility, and data readiness, and turn the winners into a funded roadmap with expected payback.
AI Architecture & Model Selection
We design the AI architecture behind the roadmap, RAG pipelines, agentic workflows, fine-tuning versus prompting, self-hosted versus API models, and set the evaluation and observability layer that tells you whether quality is holding up in production.
AI Team Leadership & Enablement
We help you build the AI capability you'll keep: hiring profiles for ML and data engineers, mentoring your existing developers into AI delivery, working practices for prompt and model iteration, and enablement so business teams actually adopt what gets shipped.
AI Governance, Risk & Cost Control
We put AI governance in place, acceptable-use policy, human-in-the-loop rules, EU AI Act and GDPR readiness, vendor and model risk assessment, alongside FinOps discipline for inference spend so AI costs stay predictable as usage grows.
Reviews as a testament of our qualityThey already trusted us
What are the advantages of a Fractional Chief AI Officer?
Our Fractional CAIO service delivers executive AI leadership for startups, scaleups, and enterprises, providing strategic direction without the overhead of a full-time Chief AI Officer. Gartner projects that at least 30% of generative AI projects are abandoned after proof of concept, most often over unclear business value and poor data readiness. We make sure yours is not one of them.
- AI Strategy & RoadmapWe work with your leadership to define where AI creates real advantage and where it doesn't. McKinsey finds that companies seeing meaningful EBIT impact from AI are the ones with executive-level ownership and a clear roadmap. Best fit for: Founder / CEO; Head of Product / COO.
- Use-Case Discovery & PrioritisationWe map candidate use cases across your workflows and score them on value, feasibility, data readiness, and risk, so budget goes to the few that pay back rather than the many that demo well. Best fit for: Founder / CEO; Head of Product / COO.
- AI Architecture & Model SelectionWe design RAG pipelines, agentic workflows, and integration patterns, and decide prompting versus fine-tuning and API versus self-hosted models against your privacy, latency, and cost constraints. Best fit for: CTO / VP Engineering; CIO / Compliance Leader.
- Data Readiness for AIMost stalled AI programmes are data problems in disguise. We assess data quality, access, and lineage, then design the ingestion, chunking, and retrieval layer your use cases actually need. Best fit for: CTO / VP Engineering; CIO / Compliance Leader.
- AI Team Leadership & EnablementWe help recruit, structure, and lead AI-capable teams, upskilling your existing engineers, defining hiring profiles, and establishing delivery practices for prompt, model, and evaluation work. Best fit for: CTO / VP Engineering; Head of Product / COO.
- Vendor, Model & Build-vs-Buy DecisionsWe assess model providers, AI platforms, and off-the-shelf tools against your requirements, reducing lock-in, keeping exit options open, and making the build-versus-buy call explicit. Best fit for: Founder / CEO; CIO / Compliance Leader.
- Evaluation, Monitoring & Cost ControlWe put evaluation sets, quality monitoring, and inference-cost dashboards in place so you can prove AI quality is holding and see exactly what each workflow costs to run. Best fit for: CIO / Compliance Leader; CTO / VP Engineering.
- AI Governance & ComplianceWe implement AI governance, acceptable-use policy, human-in-the-loop rules, model risk assessment, audit trails, and EU AI Act and GDPR readiness, tailored to your industry and risk appetite. Best fit for: CIO / Compliance Leader; Head of Product / COO.
Ready to Put an AI Executive Behind Your Roadmap?
Let's discuss how our Fractional Chief AI Officer service can shape your AI strategy, move pilots into production, and keep governance and costs under control. Schedule a free consultation to explore the possibilities.
Matt Sadowski
CEO of Mobile Reality
Understanding Fractional AI Leadership
Discover how fractional executive leadership can shape your AI strategy, move pilots into production, and provide executive-level guidance without the full-time commitment. Learn about the benefits, engagement models, and when to bring in a fractional AI officer.
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