What Should You Look for in a Fractional Chief AI Officer?
Practical buyer questions to assess business judgement, technical depth, security, delivery accountability and team development in a fractional CAIO.
Todd Johnson
Founder, InnovateX Solutions
Published · 7 minute read
AI-created conceptual illustration.
Ask a prospective fractional Chief AI Officer to work through a business problem before asking which AI tools they prefer.
Choose something your leadership team understands. It could be slow proposal preparation, expensive customer enquiries or an internal approval process that creates repeated delays. Explain what it costs the business and let the candidate ask questions.
Listen for how they connect the commercial problem to the work required to solve it. Do they examine the process before recommending a product? Can they explain the information and systems involved? Do they ask who will use the result, who could be affected by an error and how you would know the investment had worked?
That conversation gives you a starting point for evaluating a role that spans executive judgement and technical delivery. A good presentation alone cannot show you how those capabilities will hold together during an engagement.
Test business judgement with a difficult choice
Your AI agenda needs priorities. Your organisation has limited money and staff capacity, and some improvements will depend on work that isn’t especially visible.
Give the candidate two competing opportunities. One could offer a large theoretical benefit but rely on inconsistent records. The other might deliver a smaller improvement to a process with an accountable owner and reliable information. Ask what they would investigate, what they would recommend doing first and what evidence could change their recommendation.
There isn’t one correct answer without knowing your business. You’re assessing whether they recognise the constraints and can make a decision without disguising assumptions as facts.
They should also be willing to consider an ordinary process change or existing software capability. If a revised approval rule removes the delay, you may not need AI in that part of the process. The leader’s responsibility is to improve the business, including making decisions that reduce the amount of technology required.
Ask them to separate possible value from value the organisation could realise. Reducing drafting time may free staff for other work. It won’t necessarily reduce expenditure, and it won’t create revenue unless the business can use that capacity in a way that produces it.
Test technical judgement
You don’t need to conduct a model engineering interview. You do need confidence that the person leading the agenda can challenge technical recommendations and recognise when specialist help is required.
Ask them to explain how information would move through your example process. Which systems would the AI read? Would it produce a suggestion or be allowed to change a record? Where would a person check the result? What happens when the source information conflicts, the service is unavailable or the system gives an answer it cannot support?
Ask the candidate to explain the design to the executive team, then have your technology leaders question it. They should explain how the system will behave, including where it can fail. For example, an assistant searching company documents needs access controls that match the user and a way to distinguish current policies from superseded versions.
Then ask how they would test it. A polished demonstration may use clean inputs and familiar questions. Your evaluation needs representative work, including exceptions and unsuccessful cases. Look for an ability to explain what the test establishes and what it leaves uncertain.
Technical depth also includes knowing when not to improvise. Ask how they would involve security specialists, domain experts or engineers for work beyond their own competence. Breadth of leadership doesn’t mean claiming expertise in every discipline.
Bring security and governance into the buying discussion
Security and governance affect whether an approach is suitable, how much it will cost and how long it may take. They belong in the candidate assessment alongside commercial judgement.
For your example, ask what information could enter the system, who could access it and what the supplier might retain. Ask who can approve a new use and whether the candidate would distinguish an assistant drafting text from one allowed to send it or update business records.
Ask how these decisions would be made with your existing teams. Have the candidate explain how they would adapt a policy to the process and check that its controls work.
Australia’s National AI Centre recommends defining accountable people’s authority and capabilities as part of governing AI. Apply that to the role itself by checking whether the person has the resources to meet the proposed responsibilities. National AI Centre implementation guidance.
Ask for evidence of delivery and people development
Request a walkthrough of relevant work the candidate is permitted to discuss. Ask what they were personally responsible for, which other people contributed and how the result was assessed. Ask for redacted documents that show the decisions and results.
The walkthrough should explain the starting situation, the decisions taken and the implementation difficulties. It should distinguish something demonstrated in a trial from something used in normal operations. Ask what changed after users started working with it and what the team could manage themselves when the engagement ended.
Respect confidentiality. A candidate may not be able to identify a client or share commercial figures. They should still be able to describe their method and offer suitable evidence within those limits. Check references only through an agreed process.
Training deserves its own questions. Ask how staff would practise on the workflow being introduced, how mistakes would be discussed and how managers would learn to supervise the changed process. A library of recorded lessons may support that work. It doesn’t establish whether people can judge an output under ordinary work pressure.
A buyer assessment you can use
Use the same questions with each candidate. Record the evidence and unresolved gaps before comparing price.
| Area | Ask to see or discuss | What the evidence should help establish |
|---|---|---|
| Business judgement | A prioritisation decision with competing options | How commercial value, constraints and opportunity cost were weighed |
| Technical depth | A plain language walkthrough of a relevant system | Whether they can examine integration, access, failure and testing |
| Security and governance | A decision about a proposed AI use | How controls affected the design and who retained approval authority |
| Delivery ownership | A redacted plan and an account of a difficult implementation | What they owned, how dependencies were resolved and how completion was judged |
| Training and coaching | An example learning plan tied to an actual workflow | How users and managers learned to perform and supervise the work |
| Results | A baseline and an outcome report, where disclosure is permitted | Whether benefits, costs and limitations were reported honestly |
| Capacity and continuity | The proposed working arrangement | Who will do the work, how decisions are handled and how knowledge stays with your business |
| Commercial independence | Supplier relationships and implementation responsibilities | Whether incentives could influence recommendations and how that will be managed |
Don’t turn this into an arbitrary numerical ranking. A candidate who cannot meet a critical requirement shouldn’t compensate for it by scoring well elsewhere. Decide which capabilities are essential for your circumstances and which can be supplied by the wider delivery team.
Make the engagement match the role
Before signing, compare the proposed agreement with the leadership you expect. It should describe ownership of the AI agenda, responsibility for agreed delivery and the contribution expected from your people. Agree availability, escalation arrangements and who will supply any other specialists before planning the work.
Discuss how priorities can change, how progress will be reviewed and what happens when a proposed use doesn’t justify further investment. Ask how your organisation will retain access to its documentation and working knowledge if the engagement ends.
Bring the assessment table into your selection discussion and ask each candidate to work through the same business problem. Keep the evidence beside the proposal so the final decision reflects what the person can substantiate, as well as what they say they will do.
Questions
Does a fractional CAIO need to write all the code?
What evidence can I ask for without breaching client confidentiality?
How do I assess the training and coaching component?
Written by Todd Johnson
Founder of InnovateX Solutions. Todd provides fractional CIO, CTO and Chief AI Officer leadership for Australian businesses and government, and wrote the XAF Connected Architecture framework.
Todd on LinkedIn