AI audit workshop

Fractional CAIO

Fractional Chief AI Officer (CAIO) Services

A part-time Chief AI Officer who sets your AI strategy and policy, then gets the use cases built.

01

What is a Chief AI Officer, and what is a fractional one?

A Chief AI Officer (CAIO), or chief artificial intelligence officer, is the executive responsible for how a company uses AI: which problems AI should solve, which tools and models to use, how data and risk are handled, and whether the AI in use is actually delivering results. Large enterprises and many governments now appoint one full time.

A fractional Chief AI Officer does the same job part time, typically a few days a month. It suits businesses that know AI matters but do not have the scale, or the certainty, to hire a full-time AI executive. Our fractional CAIO starts with an AI audit, writes an AI policy your staff can follow, and gets the first use cases live, then keeps leading as the programme grows. Because there is a build team behind the role, the use cases get built too: AI workflows, AI agents and chatbots and the data work underneath them. For wider technology leadership beyond AI, see our fractional CTO service.

A fractional Chief AI Officer's first 90 days: an AI audit and policy, the first use cases live, governance and scale, then ongoing review, measured by hours saved, adoption, error rates and AI spend.

02

What a fractional CAIO is responsible for

  • AI strategy

    A short list of AI use cases ranked by value and effort, tied to goals the leadership team already has.

    • Use case ranking
    • Business case per use case
    • Quarterly AI roadmap
  • AI policy and governance

    Clear rules on which AI tools staff may use, with what data, and who approves new ones.

    • Acceptable use policy
    • Data handling rules
    • Risk and approval process
  • Delivery of use cases

    The first AI use cases built, launched with a person in the loop, and measured against a baseline.

    • Hours saved
    • Accuracy and override rates
    • Adoption by team
  • Data readiness

    The data foundations AI depends on: where data lives, how clean it is, and what to fix first.

    • Data audit
    • Quality fixes
    • Access and security
  • Vendors and models

    Independent choices between AI tools, platforms and model providers, with costs kept in view.

    • Tool and model selection
    • Build vs buy
    • AI spend tracking
  • Training and change

    Staff taught to use AI well and safely, so the tools are used after launch, not abandoned.

    • Team workshops
    • Prompting guides
    • Champions in each team

03

Fractional CAIO vs AI consultant vs full-time Chief AI Officer

Fractional CAIOAI consultantFull-time CAIO
EngagementOngoing, a few days a monthA fixed projectFull-time executive
Owns AI outcomesYes, accountable over timeFor the project onlyYes
Policy and governanceWrites and runs itMay recommend itWrites and runs it
Builds use casesYes, through our team or yoursSometimesThrough an in-house team
CostMonthly retainerProject feeExecutive salary and benefits
Best forMid-sized businesses starting or scaling AIA defined question, such as one use caseLarge enterprises with a large AI programme

If you have a single, well-defined AI question, our AI consulting service may be the better fit.

04

The first 90 days with a fractional CAIO

Days 1-30: AI audit and policy

Where AI can carry load in your business, how ready your data is, and an AI use policy staff can follow.

Days 31-60: first use cases live

Two or three AI workflows built and measured against how the work is done today.

Days 61-90: governance and scale

Model and vendor choices, a risk review, staff training and the roadmap for the next quarters.

Ongoing: run and extend

A monthly review of results, new use cases, and reporting to leadership or the board.

05

Fractional Chief AI Officer questions

What does a Chief AI Officer do?
A Chief AI Officer decides where AI should be used in the business, sets the policy and governance for using it safely, chooses tools and vendors, leads delivery of AI projects and reports on the results to leadership.
What is a fractional Chief AI Officer?
A senior AI leader who does the Chief AI Officer job part time, usually a few days a month, for businesses that need AI leadership but not a full-time executive.
Do we need a Chief AI Officer?
If AI tools are already being used across your teams without a policy, or you have several AI ideas and no one owning which to do first, you need someone in the role. For most small and mid-sized businesses a fractional CAIO is enough.
How is a fractional CAIO different from a fractional CTO?
A fractional CTO covers all of your technology: software, infrastructure, vendors and the tech team. A fractional CAIO focuses on AI: use cases, data readiness, governance and adoption. Some businesses need both; smaller ones often start with one.
How much does a fractional Chief AI Officer cost?
It is a monthly retainer based on the days per month and the scope, well below the cost of a full-time executive. Building the use cases is scoped separately or included in a managed plan. We quote after a first call.
Is our data safe?
Data handling is one of the first things a fractional CAIO sets rules for. We use business AI offerings that do not train on your data and keep sensitive steps inside your own environment where needed.

Get AI leadership without a full-time hire

Tell us where your business is with AI today and what you want from it. We will come back with how a fractional CAIO engagement would work for you.

A reply from a consultant, usually within one working day.

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Get started

Tell us where the week goes

Two weeks, fixed scope, a costed plan at the end. No obligation after it.

  • We map your workflows and where the time actually goes
  • You get the three that cost the most, with what automating them takes
  • Delivered as a document, in 5 to 7 working days

We reply from [email protected], usually within one working day. We do not add you to a mailing list.

Tell us where the week goes

A digital audit maps your workflows, names the three that cost the most time, and prices what it takes to automate them. No obligation after it.