Anyone can talk about AI. Far fewer can walk into a business, find the expensive manual process, and ship something that removes it. CAO Partners assesses for the second group — and places them into Australian businesses as employees.
Brisbane-based. Searching Sydney, Melbourne, Perth, Adelaide, Canberra and remote.
The hard part
This is the single biggest risk in hiring AI talent right now. The vocabulary is freely available, the tools demo beautifully, and a confident candidate can hold an hour-long conversation without ever having built anything that survived contact with real data.
Fluency without delivery. Candidates who can name every model and framework but cannot describe a system they built, what broke, and what they did about it.
Evidence of shipped work, judgement about where AI is and isn't worth applying, and the ability to explain it to a non-technical business owner who has to trust them.
Our method
Every candidate in our pool has been through a structured interview that is recorded, transcribed and scored against a fixed rubric — practical capability, business judgement, and communication. The score is stored against their record and travels with them.
That matters for one reason: it makes shortlists comparable. When we tell you a candidate is stronger, that reflects the same assessment applied the same way, rather than which recruiter happened to take the call or how well the candidate presented that morning.
It also means a search doesn't start from zero. We match your brief against people who have already been assessed, then source further where the brief demands it.
Where they work
Follow-up that never happens, lead qualification, proposal generation, CRM data that no one maintains.
Reconciliation, invoice handling, reporting packs assembled by hand every month.
Triage, routing, first-response drafting, and the internal reporting nobody has time to produce.
Questions
In practice, an AI expert is someone who can take a business problem and deliver a working system that solves it using AI tooling — not someone who can only describe what AI could theoretically do. The distinction matters because the second group is far larger and interviews just as well.
Most capable AI operators are already employed and aren't applying to advertised roles, so job boards surface a small and unrepresentative slice of the market. Specialist AI recruiters maintain a pre-assessed pool, which is why a shortlist can be produced without running a public advertising campaign.
A consultant is appropriate for a defined one-off project. An employee is appropriate when AI is going to be an ongoing part of how the business runs, because the systems need continuous maintenance and the knowledge needs to stay in the business when the work is done.
Because candidates are assessed before a brief exists, timelines depend mainly on how quickly the brief is defined and how specific the requirements are. A search begins with a discovery call, after which we match against the existing assessed pool before sourcing further.
Yes — on-site, hybrid and remote. Some clients require on-site presence, particularly early on when the operator is still learning how the business works. We scope that in the discovery call.
Describe the problem, not the job title. We'll work out what the role actually needs to be.