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THE PRACTICAL GUIDES

How to choose an AI consultant for your business

Start with the decision or workflow you want to improve. “We need AI” is too broad to compare proposals. A useful brief names the current process, the people involved, the systems it touches and the result you want to measure.

Choose the kind of help first

Strategy and readiness work should help you decide what to do, in what order and why. Implementation should produce working software or a supported rollout. Training and adoption should help people perform their actual tasks. Governance should establish who makes decisions and how the organisation manages its AI systems. Some providers cover several stages; ask who will deliver each one.

Ask for evidence close to your situation

Request an example involving a similar workflow, organisation size and system environment. Ask what the consultant personally delivered, how the result was measured and what happened after launch. An impressive demo or a vendor badge does not answer those questions. Client references and performance claims in this directory have not been independently audited.

Use the same short brief for your shortlist

Confirm how delivery will work

An Australia-wide service does not imply an office near you. Profiles separate a published base from delivery arrangements. Confirm remote versus on-site work, travel charges, meeting times, subcontracting and who is available after launch.

Read the provider’s proposed pathway

For concrete examples of different engagement structures, Ali Kazim publishes discovery, build and ongoing engineering options; Osher Digital describes assessment through implementation and optimisation. These are examples of advertised approaches, not endorsements. Use the directory to compare providers on the same questions.

Editorial guidance with linked sources. Reviewed 2026-09-19.

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