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Proof pointRecruitmentEducate, with Savage Recruitment Academy

AI without the regret: risk, privacy and governance for recruitment agencies

Recruitment agencies sit on candidate personal information all day, and from 10 December 2026 Australian privacy law requires them to explain any automated decision that touches a candidate. Alvo built the education module agency owners needed before buying anything, delivered through the Savage Recruitment Academy, and turned its governance framework into the working model below.

39 minpre-recorded module in eight sections, for owners and directors, not recruiters
3downloadable tools: adoption thesis, vendor question checklist, governance starter framework
10 Dec 2026automated decision-making transparency obligations start under the Privacy Act
$28,800a year per tool at $60 a seat across 40 staff, the number that surprises most owners
The governance model, as a working screen

The one-page policy, the tool register and the human-in-the-loop log, running.

Demonstration environment with an invented agency. The five-part framework from the module (policy, register, human review, data rules, quarterly rhythm) becomes a set of records in the agency's own systems rather than a document in a drawer. Nothing here screens or scores a candidate; it governs the tools that might.

NR
Northgate RecruitmentDemonstration · sample data
AI governance Tool register Use policy Human review log Candidate data map Vendor checklist Quarterly review
JS
John SmithManaging Director
AI governance, October11 tools registered · 2 unregistered tools found this month · 3 tools touch candidate decisions · 57 days to the 10 December transparency obligations
Policy signed: 38 of 40 staff
Tool registerOwner · data touched · candidate decisions · renewal
ATS, built-in candidate rankingOwner: Ops lead · Candidate PI · Ranks shortlists · Renews Mar
Needs privacy policy wording
Meeting note-taker (sales team)Owner: Sales director · Client and candidate calls · No decisions · Renews Jan
Contract excludes training
Meeting note-taker (delivery team)Owner: none · Same job as above · Found in expense claims
Unregistered, duplicate
Browser CV formatterOwner: none · Candidate CVs leaving the agency · No contract, no deletion terms
Banned under policy
General assistant, business subscriptionOwner: MD · Approved data classes only · No candidate decisions · Renews Jul
Approved
Human review logThis week
No AI output that affects a candidate or client decision is actioned without a named reviewer, and the review is logged.
ATS shortlist · Finance Manager, ParramattaReviewed, P. Nair
ATS shortlist · Payroll Officer, contractReviewed, M. Lin
ATS shortlist · Site Supervisor, NewcastleAwaiting review
Candidate data map57 days
Where automation touches a candidate decision, including features buried inside the ATS, and what the privacy policy must say about each.
Screening and ranking1 tool
Matching and search2 tools
Privacy policy wording drafted1 of 3
Data rules by classThree lines
Public marketing copyAny approved tool
Candidate personal informationContracted tools only
Client commercial termsNever in consumer tools
Cost and consolidationAnnualised
Registered tools, per year$61,400
Duplicates and unused seats$19,200
Tied to a 90-day measure6 of 11
Sample figures for the demonstration.
Next tender question we can answer same-dayReady
"Describe your controls over AI use in service delivery." The one-page policy, the register and the review log answer it from existing records. The agency without them bluffs or stalls.
The problem

The risks that hurt a recruitment agency are legal and reputational, not technical.

The candidate database is both the asset and the exposure. Candidate records are personal information under the Privacy Act, and pasting them into an unapproved consumer AI tool is a disclosure that cannot be taken back. It happens in agencies every week, usually with good intentions: a free CV formatter, a note-taker dropped into every client call, a consultant's personal chatbot account.

Bias attracts liability regardless of intent, the Fair Work Act is technology-neutral, and from 10 December 2026 the agency must explain any automated decision-making that touches a candidate, including features already buried inside the ATS. No new legislation is needed for an agency to be exposed today. Owners were hearing about AI weekly and had no structured way to move from awareness to a decision they could defend.

What Alvo delivered

An owner's playbook, delivered where agency leaders already learn.

1

The module: Implementing AI in Your Recruitment Agency

A 39-minute session for owners and directors, in eight standalone sections: the five questions before you spend a dollar, the recruitment-specific risk map, ten questions for any vendor, governance that speeds you up, the cost disciplines, and a first 90 days. Delivered through the Savage Recruitment Academy, in the industry's own language. Nothing in it teaches recruiter craft; that stays with the Academy.

2

Three tools an owner can install in a week

The AI Governance Starter Framework (one-page policy, tool register, human-in-the-loop rule, data rules by class, quarterly review), the AI Vendor Question Checklist with good-answer guidance, and the Adoption Thesis. ANZ and international variants, ungated.

3

The research behind it

Alvo's own report, The State of AI in Australian Recruitment: adoption, use cases, and the gap between agencies that use it and those that don't. Named because it is ours.

4

The framework as a working model

The screen above is the governance framework built as records in an agency's own systems: register, policy sign-off, review log, data map and cost roll-up, with the December deadline counting down. It is the Assess and first Build milestone for an agency that has watched the module and wants it running rather than filed.

Where the line sits

Governance is the operating system, not the paperwork.

Built on the published floor

The framework sits on the National AI Centre's guidance and the Voluntary AI Safety Standard as the floor, ISO/IEC 42001 as the anchor when an enterprise or government client asks, and the RCSA Code of Professional Conduct as the industry overlay.

Not legal advice

Alvo does not give legal advice. The module and the framework draw on legally reviewed research into the AI obligations on Australian recruiters, and the privacy policy wording for automated decisions is drafted with the agency's own adviser.

Governance wins work

The commercial frame is simple: enterprise and government clients now ask about AI controls in tenders. The agency that answers in one page wins the work from the agency that goes quiet for a week.

Run a recruitment agency with tools nobody has registered?

Start with the module and the free framework. If you want it running in your systems before 10 December, the Assess baselines every tool in use, including the unofficial ones, and the first milestone installs the register and the policy.

Get the governance frameworkData, pricing and who does the work