How to Choose an AI Consultant in Australia

The AI consulting market has exploded in Australia, and the quality varies enormously. Choosing the wrong partner is expensive — not just the direct cost, but the opportunity cost of a failed or underwhelming implementation. Here's how to evaluate your options systematically.

Key Questions to Ask Any AI Consultant

Can you show me examples of similar work you've delivered?

Ask for specific case studies in businesses similar to yours — same industry, similar size, similar problem. Be sceptical of firms that can only offer anonymised examples or theoretical case studies.

How do you approach the discovery phase?

Good AI consultants invest significant time understanding your business before proposing a solution. If a consultant is ready to propose a solution after a 30-minute call, they're not doing discovery — they're fitting your business to a pre-packaged solution.

What does your implementation methodology look like?

Ask them to walk you through how a typical engagement is structured, what deliverables you'll receive at each phase, how change management is handled and what ongoing support looks like after go-live.

Who specifically will be working on my project?

Some consultancies sell with senior people and deliver with juniors. Make sure you know who will actually be doing the work, and that they have the skills the project requires.

How do you handle data privacy and security?

Your business data is valuable and sensitive. Ask specifically about data handling practices, whether data leaves Australia, what security certifications the firm holds and how they handle confidentiality.

Red Flags to Watch For

• Promises of specific outcomes without first understanding your business
• Heavy focus on technology and tools before understanding the business problem
• Inability to clearly explain how success will be measured
• Vague answers about data privacy and security practices
• No evidence of working with businesses similar to yours
• Excessive use of jargon without practical substance

Evaluating Proposals

A good proposal should clearly define scope, success metrics, methodology, team, timeline, pricing (including ongoing costs) and what happens if things don't go to plan. If any of these are missing or vague, ask for clarification before signing.