Vetted Fractional Chief AI Officer Services

AI is no longer a project the CTO can absorb on the side. Model selection, applied research, and how AI shows up in the product all need executive ownership. A fractional Chief AI Officer brings that leadership without the commitment of a full-time executive hire.

The Chief AI Officers Tecla works with have led AI strategy across companies at different stages of adoption. Every engagement takes a different shape from there, calibrated to the AI maturity of the company and backed by a 90-day guarantee.

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Over 10 years placing senior leaders in US companies.
3 to 5 days
To first candidates
90 days
Replacement guarantee, no additional cost
10 to 25 hours
Per week, billed monthly

What is a fractional Chief AI Officer?

A fractional Chief AI Officer, also called a fractional CAIO, holds the same seat a full-time chief AI officer would, at part-time hours. The work covers AI strategy, model selection, applied research direction, and how AI leadership shows up across the product and the business.

We help you match with a fractional CAIO who fits the company, the moment, and the pace you need to move.

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From the teams we've worked with

Tecla is organized and provides a strong partnership experience. From hiring multiple engineers within weeks to maintaining consistent communication and feedback, they've shown real professionalism. Their follow-up and collaboration made the entire staffing process efficient and enjoyable.

Kristen Marcoe

Director @ Credo AI

I’m very happy with Tecla. Their support has improved our QA process, reduced bug reports by half, and made our onboarding process twice as fast. The team is responsive, cost-effective, and delivers high-quality candidates on time. Tecla has truly become a trusted extension of our internal hiring team.

Meit Shah

Principal PM @ Stash

It was a pleasure working with Tecla. Their team quickly understood our hiring needs and found candidates that matched our technical requirements perfectly. Communication was seamless, and they were always quick to respond and deliver results. Tecla’s attention to quality made the entire experience smooth and efficient.

Mayya Bozhilova

Manager @ Three Space Lab

Tecla successfully found candidates for our team and handled the entire process from scheduling to interviews. They were timely, responsive, and always kept communication flowing through email and messaging apps. I was really impressed with Tecla’s follow-up and thoroughness throughout the process.

Jessica Warren

Head of People @ Chowly

Tecla's business model and team set our company up with engineers that we have the real possibility of working with long-term and can grow with our business. Tecla came in highly recommended, and their pace from introduction to engagement to presenting candidates was very fast.

David Bradley

Founder @ QPilot

Internally, we're moving much faster than we were without the remote engineers Tecla recruited for us and we've been able to implement far more features. Once we brought on our first full-time designer in South America, it made the quality of our user interface, product, and marketing efforts increase substantially.

Drew Batshaw

CTO @ Waggl

When we started our recruiting initiatives for LATAM developers, it was crucial for us to rely on a company that could provide deep local expertise to help us identify the best software developers in Latin America. The teams at Tecla really go the extra mile to understand our needs, which is what has made our partnership so successful!

Douglas Santos

Lead Tech Recruiter @ HomeLight
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Trusted by leading companies

When to hire a fractional Chief AI Officer

Three moments cover most of the fractional CAIO engagements that come through Tecla.

Pilot to production

The AI proof of concept works, the path to production does not

A pilot ran successfully but scaling to production requires executive-level AI strategy the current team cannot provide alone.

Product bet on AI

AI is the product, not a feature

The company is building an AI-native product and needs senior technical leadership dedicated to model architecture, evaluation, and applied research.

Enterprise AI

AI initiatives sit across too many teams

Multiple AI projects across the organization need executive coordination, governance, and a coherent strategy that ties them to business objectives.

The right fractional CAIO depends less on the AI trends of the moment and more on the maturity of the company and where it is heading. That is where the first call starts.

What a fractional Chief AI Officer does

Executive level AI leadership varies with the stage of the company and the maturity of the AI function. Four responsibilities show up in nearly every engagement, from the AI strategy behind executive decisions to the applied research direction that shapes measurable results.

AI strategy and roadmap

AI strategy, model selection, and the executive level decisions that align AI initiatives with business objectives and long-term company goals.

Applied research and model direction

Model architecture calls, evaluation frameworks, and how the company's AI tools deliver measurable results in production.

Cross-functional AI leadership

Coordination across engineering, product, and data teams. How high level AI decisions reach the rest of the leadership teams and the organization.

Team and hiring plan

AI team structure, applied research hires, and the calls that shape how the AI function scales alongside business goals.

Fractional CAIO vs full-time CAIO

Both models deliver executive level AI leadership. The difference sits in time, cost, and how the engagement flexes. A full-time executive commits to a permanent seat. A fractional engagement is chosen for the moment, without the friction of permanent hires.

Full-time CAIO

Traditional
Hours per week
40+ hours, fully embedded
Compensation
Six-figure salary plus equity
Time commitment
Long-term, hard to unwind
time to hire
2 to 6 months, with search costs
replacement risk
On the company if the hire fails

Fractional, Interim, or Advisory: which one fits?

Three engagement shapes for three different problems. Each one fits a different moment in the company.

You are here

Fractional CAIO

Part-time ongoing leadership. 10 to 25 hours per week, month-to-month, for as long as the work requires it.

Interim CAIO

Full-time, temporary leadership. Three to six months, brought in to cover a gap or lead a transition.

AI Advisory

Board-level AI advisory. Delivered as a service for companies that need executive AI judgment without an operational role.

Calibrated to your AI maturity

No two fractional CAIO engagements look the same. A company running first pilots needs a different profile than one scaling models to production. A mid-market SaaS integrating AI into its product needs different depth than an enterprise building coherent AI strategy across units. We spend the first call understanding where the company sits on the AI adoption curve. Then we match against the network we have built for exactly that kind of work.

Industries we serve

Every sector below carries its own AI opportunity, data reality, and adoption context. We match each engagement to the AI environment behind the business.

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SaaS & Enterprise

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Fintech

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AI & Machine Learning

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HealthTech

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Cybersecurity

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E-commerce & Retail

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EdTech

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Logistics & Supply Chain

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Energy Tech

The two people you'll work with

Every Tecla engagement is supported by two roles, both included from day one.

Dedicated Account Manager

Your single point of contact across the engagement. Same person from briefing through replacement, not a ticket queue.

Success Manager

Accountable for how the engagement performs over time. Stays close to the CTO and the company to keep the work on track.

Let's start with a brief

Tell us where the company is, what AI has to solve, and the scope of the CAIO role. We come back with the shortlist that fits, in 3 to 5 business days.

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Beyond the fractional CAIO

A fractional Chief AI Officer service solves one shape of the AI leadership problem. When the AI team needs to scale, or the moment calls for a full-time CAIO, the same network covers what comes next.

Top Talent

Executive Search

Senior leadership search for full-time CAIO, CTO, VP Engineering, and other c-suite tech roles.

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AI Staffing

Engineers and specialists across the AI stack, from LLM applications to data and infrastructure.

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Staff Augmentation

Pre-vetted senior engineers added to your team in 3 to 5 business days, fully managed by Tecla.

Frequently asked questions

What is a fractional Chief AI Officer?

A fractional Chief AI Officer, also called a fractional CAIO, is a senior AI executive who joins a company part-time to lead AI strategy, model direction, and the decisions that shape how AI shows up across the business. Engagements typically run 10 to 25 hours per week, for as long as the work requires it.

How much does a fractional CAIO cost?

Fractional Chief AI Officer services through Tecla vary in cost by scope, seniority, and depth of the engagement. Pricing is all-inclusive, with no upfront fees, no fees to start the search, and no charges for interviews. The engagement runs at a fraction of the cost of a full-time chief AI officer, which is what makes the model cost effective for mid-market and enterprise companies.

What is the difference between a fractional CAIO and a full-time CAIO?

The scope of the work is similar, senior AI leadership. The difference is in hours, cost structure, and commitment. A full-time CAIO works 40+ hours per week with a six-figure salary and equity. A fractional chief AI officer works 10 to 25 hours per week on a monthly retainer, with no equity required and flexibility to scale up or down.

What is the difference between a fractional CAIO and a fractional CTO?

A fractional CTO owns broad technology strategy, engineering leadership, and architecture across the company. A fractional CAIO owns AI strategy specifically: model selection, applied research, evaluation, and how AI leadership shows up in the product. Companies with meaningful AI investment often need both, particularly when AI is core to what the product does.

What is the difference between a fractional CAIO and a fractional CIO?

A fractional chief information officer, or fractional CIO, owns IT strategy, infrastructure, and vendor decisions across the business. Where a fractional CIO evaluates the systems that run the company, a fractional CAIO evaluates the AI initiatives that transform it. Fractional CIOs and fractional CAIOs cover different scopes: the CIO seat covers what a full-time CIO would run, the CAIO seat covers the AI function specifically.

What is the difference between a fractional CAIO and an AI consultant?

An AI consultant advises from the outside, delivering assessments and recommendations before handing it off. A fractional CAIO joins the leadership team, owns AI strategy, and is accountable for outcomes. When a company needs an executive to run the AI function, not just review it, the fractional model fits better.

When should a company hire a fractional Chief AI Officer?

Common triggers include: moving an AI pilot into production, building an AI-native product, coordinating multiple AI initiatives across teams, preparing an AI strategy for the board, or adding executive level AI oversight when the current team lacks it.

What does a fractional Chief AI Officer do?

A fractional CAIO delivers AI strategy for the company. Common responsibilities include AI roadmap, model selection, applied research direction, evaluation frameworks, AI hiring plans, and coordination across engineering, product, and data teams. The fractional CAIO runs the AI function the way a full-time CAIO would, at part-time hours.

What are the benefits of hiring a fractional Chief AI Officer?

Companies that hire fractional Chief AI Officer leadership get access to executive level AI expertise without a full-time salary, flexibility to scale hours up or down as the AI function matures, faster hiring cycles, and pattern recognition across pilot-to-production transitions. For mid-market companies moving AI from experimentation to production, a fractional CAIO often brings depth that a first-time hire would not have.

How to hire a fractional CAIO for mid market companies?

Most mid-market companies work with specialized fractional CAIO firms or executive search networks rather than running an independent search. When companies hire fractional CAIO leadership, they typically want fractional CAIO services delivered end-to-end, from AI roadmap to hiring. Fractional Chief AI Officer companies in this space either operate as consulting firms on retainer, or as matching networks like Tecla, with pre-vetted CAIO executives ready to place within days.

What should we look for in a fractional CAIO?

Track record matters more than credentials on paper. Look for prior experience taking AI initiatives from pilot to production, depth in model selection and evaluation, familiarity with the AI tools and frameworks your team uses, and a communication style that fits your leadership teams. For companies building AI-native products, prior experience running applied research is often the strongest predictor of fit.

Does the 90-day replacement guarantee apply to fractional CAIO engagements?

Yes. If the fractional Chief AI Officer engagement does not work within the first 90 days, we replace the leader at no additional cost. The guarantee is standard across every engagement we run.

How does a fractional Chief AI Officer work with the existing team?

A fractional CAIO delivers executive judgment while the internal team continues to run day-to-day AI operations. The CAIO owns the strategy, connects to engineering, product, and data teams, and reports to the leadership team and the board. Cadence varies by engagement, but weekly leadership meetings and monthly reviews are typical.

Does the fractional CAIO join the team full time later?

Sometimes. In many engagements, the fractional CAIO transitions to a full-time role once the AI function reaches the scale that justifies it. When that is not the right fit, Tecla runs the executive search for the permanent CAIO alongside the fractional engagement.

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