AI audit
How much does an AI audit cost in Australia?
By Alex Sidhu · Whitehorse AI · 15 October 2026
The direct answer
Whitehorse AI publishes an AI audit range of A$5,000–A$10,000. The audit maps processes, interviews the team and prioritises workflows using hours, costs and implementation effort. A discovery call and a full operational audit are different scopes.
What are you paying for?
An operational AI audit should explain how work moves through your business and which changes are worth funding. The deliverables matter more than the label. At Whitehorse AI, the published scope includes process mapping, team interviews, an estimate of hours and dollars saved per workflow, and a prioritised build roadmap. Our published delivery window is 10 business days. Confirm the final scope, availability and tax treatment in your proposal.
A discovery call is different from an audit
A short conversation can establish whether there is a useful problem to solve. It cannot establish a defensible business case across a whole company. Before comparing a free audit with a paid audit, ask whether the provider will interview your people, inspect your systems, document the current process, test assumptions and leave you with a roadmap you can use. Compare the work delivered, rather than the name of the offer.
Keep implementation and ongoing costs separate
Whitehorse AI publishes custom builds at A$5,000–A$15,000 per workflow, with ongoing retainers from A$500 per workflow per month. Those are separate from the audit. Your proposal should also identify software subscriptions, model usage, integrations, support, ownership and any exclusions. A workflow involving several systems, unreliable source data or many exceptions needs a different scope from a simple routing task.
Work out whether the business case holds
Start with a measured baseline: how often does the task happen, how long does it take, and what does a missed or incorrect result cost? As an illustration, saving five hours a week at A$50 an hour creates A$13,000 of annual capacity across 52 weeks. This is an example, not a client result or a cash saving guarantee. Subtract software, support and review time, and recognise that recovered capacity becomes financial value only when the business uses it.
Questions to ask before commissioning an audit
Ask what you receive, who will be interviewed, which workflows are in scope, what evidence supports the savings estimate, and whether implementation is optional. Ask who owns the documentation and how handover works. The strongest output is a short list of buildable opportunities with clear assumptions and an accountable owner, including an explanation of what should stay manual.
When to begin
An audit is useful when several teams are experimenting with AI but nobody can explain what should be built first. If you already have one well-documented workflow, an agreed baseline and usable system access, you may be ready to scope a build directly. Bring examples of the work and exceptions to your first conversation.
Source for our service scope and published pricing: Whitehorse AI. Pricing is indicative and the proposal confirms scope and tax treatment. This guide describes our perspective, not an independent ranking of providers.