AI Strategy & Implementation
Executive Overview

The Fractional Chief AI Officer

Why Mid-Market Companies Don't Need a Full-Time AI Team

The Problem

Every mid-market CEO knows AI matters. The board is asking about it. Competitors are announcing AI initiatives. But the path from "we need AI" to "we're using AI" is expensive and uncertain.

$250-400K
Year One Cost of In-House AI Team
6-12
Months Before Productive Delivery

Building an in-house AI team means hiring a head of AI ($200K-$350K salary), ML engineers ($150K-$250K each), and data engineers ($130K-$200K each) -- plus benefits, tools, infrastructure, and the 6-12 months it takes before that team ships anything useful. For a mid-market company without proven AI use cases, that's a quarter-million-dollar bet on an unvalidated hypothesis.


The Solution: Fractional CAIO

A Fractional Chief AI Officer gives you senior AI leadership at a fraction of the cost -- without the overhead of building a full-time team. You get the strategic thinking, vendor evaluation, team coaching, and roadmap execution of an experienced AI leader, scoped to 10-20 hours per week.

Think of it this way: You wouldn't hire a full-time CFO before your company had revenue. A Fractional CAIO gives you the expertise to prove AI value first -- then helps you build the right team to scale it.

Strategic, Not Theoretical

Your Fractional CAIO has built and scaled AI systems at multiple companies. They know what works, what doesn't, and how to avoid the expensive mistakes that kill most AI initiatives.

Embedded, Not External

Unlike a consultant who delivers a report, your Fractional CAIO joins your leadership meetings, coaches your team, and stays accountable for results quarter after quarter.

What a Fractional CAIO Does

Monthly Strategy Sessions

Regular sessions with your leadership team to align AI initiatives with business objectives, review progress, and adjust priorities based on real-world results.

Vendor Evaluation

Cut through the noise. Your CAIO evaluates AI tools, platforms, and vendors so you invest in solutions that actually fit your needs -- not the ones with the best sales team.

Team Coaching & Upskilling

Your existing developers and analysts learn to work with AI tools effectively. Your CAIO builds internal capability so you aren't dependent on external expertise forever.

AI Roadmap Execution

Not just planning -- doing. Your CAIO oversees implementation, manages technical vendors, reviews architecture decisions, and ensures projects ship on time and on budget.

Typical Engagement: 10-20 Hours/Week


Cost Comparison

Full-Time CAIO + Team Fractional CAIO
Leadership $300K+ salary + benefits $10K-$20K/month
Engineering $150K-$250K per ML engineer Included or scoped as-needed
Time to Value 6-12 months to first delivery 4-8 weeks to first results
Year One Cost $400K-$800K+ $120K-$240K
Risk High -- large fixed cost before validation Low -- scale up only after proving value
Flexibility Difficult to adjust headcount Scale hours up or down monthly

Who This Is For

AI Pilots That Died

You tried an AI project that stalled or never reached production. You need someone who can diagnose what went wrong and build a path forward that actually ships.

Unfillable AI Roles

You've had an AI/ML job posting open for months. Top talent goes to Big Tech or well-funded startups. A Fractional CAIO gives you senior expertise without competing in that hiring market.

PE-Backed, Post-Acquisition

You're in the first 90 days after acquisition. The value creation plan calls for operational efficiency and AI-driven growth. You need an AI leader who can move fast and deliver board-ready results.


How the Engagement Works

1

Discovery (Weeks 1-4)

We assess your current state: data, systems, team capabilities, and business objectives. We identify quick wins and build a 90-day AI roadmap.

2

First Wins (Months 2-3)

We execute on the highest-impact opportunity. Your team sees AI deliver measurable results, building confidence and organizational momentum.

3

Scale (Months 4+)

With proven results, we expand to additional use cases, coach your internal team, and help you decide when (and whether) to build an in-house AI function.

"The goal of a Fractional CAIO is not to create a permanent dependency. It's to prove AI value, build internal capability, and eventually make the role unnecessary."

Start the Conversation

A 30-minute call to discuss where AI fits in your business -- and whether a Fractional CAIO is the right next step.

Book a Consultation -- lastrev.com/ai-services
Last Rev -- AI Strategy & Implementation for the Mid-Market