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How to Compare Australian AI Consultancies for an Established Business

Compare Australian AI consultancies using a common brief, named delivery staff, verifiable evidence, data controls, handover, support, and clear scope.

By Waypoint ExponentialPublished Revised
Two different teal cubic assemblies stand on matching cream plinths behind a brass comparison beam, with an empty slot and a terracotta cube beside the right assembly

Compare AI consultancies against the same business task, delivery boundary, and evidence requirements. Meet the people proposed for the work, inspect what they personally delivered, and test how their approach handles your exceptions. Compare the complete operating commitment, including your team's effort, handover, and support, before choosing the first engagement.

Give suppliers a common decision and brief

Start by stating what your established business needs to decide or change. An opportunity assessment, configuration of existing software, and a production workflow are different assignments. Ask each consultancy to identify which assignment its proposal covers and what the receiving team will accept.

Waypoint provides AI delivery services, so apply these questions to our proposals too. The comparison method below is a practical approach for buyers to adapt to their own requirements.

Write a common brief that describes the workflow, affected staff, current systems, and operating difficulty. Include a representative exception, known access constraints, and the owner of the result. State what is already decided and which material questions the engagement needs to answer.

The National AI Centre's solution-selection guidance recommends defining the task and outcome, checking existing software, and considering integration, data use, support, and flexibility. Ask suppliers to explain why their proposed approach fits those requirements before comparing their preferred technology.

A consultancy may propose configuring software you already license, building an integration, or developing a custom application. Compare those routes against the same accepted outcome. If proposals assume different tasks or responsibilities, clarify that before treating them as comparable offers.

For an unresolved business question, request an assessment with a defined decision pack. For a sufficiently understood workflow, request a delivery scope and acceptance evidence. The assessment-versus-implementation guide explains how to choose that starting commitment.

Meet the proposed team and confirm availability

Ask to meet the people who will perform discovery, build the integration, and work with staff. Establish who makes technical decisions and who owns the delivery relationship. The people presenting the proposal may have a different role from the people assigned to the project.

Have each proposed lead explain a piece of relevant work they personally owned. Ask what they investigated, what they changed, and how the team accepted the result. Separate an individual's contribution from a firm-wide client logo or a project they observed.

Confirm allocation and replacement arrangements. A named specialist can still be unavailable when your system owner or users need them. Record who covers absences, how a proposed substitution receives approval, and which decisions require continuity.

For an Australian engagement, ask where the delivery staff actually work and when they overlap with your operating team. Confirm who attends a site visit if the work requires it, and who supports a failed process during your business hours. Location and availability need explicit commitments.

Identify the contracting entity and any subcontractors. Ask which organisation employs or engages the proposed people and which party receives access to company information. A local contact doesn't by itself describe where engineering, support, or data processing occurs.

Assess the team against the work rather than its size. A small team can fit a bounded assignment if it covers the required skills and continuity. A broader programme needs credible capacity across concurrent delivery, adoption, and support responsibilities.

Inspect delivery evidence and its limits

Ask for an account of a comparable operating problem, including the source systems, acceptance method, and receiving owner. A polished demonstration can show an interface or model capability. You also need evidence of integration, exception handling, and operation after release.

Where a supplier claims an improvement, ask what changed and how they measured it. Request the workload definition, baseline, observation period, and treatment of human review and correction. Keep a measured result separate from a forecast or an illustrative design.

Request references through the supplier's authorised process. Ask a reference about the work they commissioned, the proposed team's involvement, scope changes, handover, and support. Don't ask them to disclose confidential records or assume that their outcome predicts yours.

If confidentiality prevents a named reference or artifact, ask what alternative evidence the supplier can provide. An anonymised architecture or a controlled walkthrough may establish part of the capability. Record what you could verify and which claims still lack evidence.

Inspect a difficult case and the explanation of its failure. The team should be able to distinguish a source-data gap from a retrieval error, application defect, or unclear business rule. That diagnosis helps you judge whether their proposed people can maintain the workflow.

Check any credential or certification against its stated scope and the party that issued it. Ask how it relates to the people and service you are buying. Keep delivery evidence alongside those documents so the selection addresses the actual assignment.

Use the same workflow walkthrough

Give shortlisted suppliers the same approved or sanitised cases and discussion format. Use material you are authorised to share, with only the detail needed for the comparison. Set the expected discussion in advance so each team has the same chance to explain its approach.

For an illustrative maintenance-request workflow, include a complete request, an unclear site identifier, and a failed connection to the job system. Ask the supplier to trace the information, review, and final result for each. Identify what staff see when the workflow can't proceed.

A proposal that produces an internal summary has a different boundary from a proposal that creates a reviewed job record. Ask each supplier to show where its commitment ends and who performs the remaining work. That can reveal a scope difference hidden behind a similar description.

Ask what the team needs to learn before committing to production. A credible answer can identify unknowns and propose a bounded way to resolve them. If resolving the question requires substantive engineering or analysis, scope that work as a reviewable engagement rather than treating the comparison as free implementation.

Use the walkthrough to draft acceptance cases with your process owner. Include the expected evidence, permitted action, and route for an unresolved request. Agree which cases a later pilot will hold back from development to test the proposed workflow on unseen work.

Keep your own participation visible. Staff need to explain rules, supply representative cases, and review outputs. A proposal that assigns more of that work to your team may still fit, but it changes the capacity you must commit.

Check data handling and system access

Ask for a source-to-destination map covering the development environment and the operating service. Identify which company records reach the consultancy, model provider, hosting service, and any subcontractor. Include diagnostic copies and access used during support.

The OAIC's commercial-AI guidance recommends assessing suitability for the intended use, testing, oversight, privacy and security risks, and who can access personal information. Have your responsible advisers apply those questions to the proposed design and handling arrangements.

Ask which settings and supplier commitments govern retention and further use of inputs. Verify the proposed service and configuration rather than relying on a general product description. An Australian consultancy can still use services or delivery personnel elsewhere, so establish the actual arrangement.

Review permissions by phase. A discovery sample, a test integration, and a production connector can need different access. The source owner should be able to trace each requested read or write to the task and see how temporary access ends.

Ask for evidence of denied access and recovery, including a request outside the permitted population. Check that a failed lookup doesn't trigger a broader credential or unrestricted tool. The partner-access guide provides a detailed brief for those decisions.

Assign the continuing owner for supplier changes and data-handling reviews. The initial selection establishes a proposed boundary; the operating team needs a way to review it when the model service, source collection, or support arrangement changes.

Compare the complete commitment

Put proposals into a common scope schedule. Identify who supplies discovery, source preparation, engineering, acceptance testing, staff adoption, release, and ongoing operation. Mark exclusions and dependencies rather than assuming that an omitted activity is included.

Compare the commercial commitment against that schedule. Include third-party services, internal staff effort, continuing support, and the work needed to leave or change the solution. Have the responsible commercial and legal reviewers check the engagement arrangements.

Ask how changes affect the commitment. A new source system, different transaction, or broader user population can require more work. Specify who approves that change and how the supplier explains its effect before proceeding.

Clarify the treatment of a failed requirement separately from a request for new capability. Use examples from your workflow so the receiving team and supplier share an interpretation. Keep acceptance criteria and the agreed delivery boundary available when resolving a dispute.

Check ownership and permitted use of code, configuration, evaluation cases, and reusable components. Identify dependencies on supplier-owned software and what access your team receives. Ownership of a document doesn't establish the right or practical ability to maintain every component it describes.

For a PE portfolio, compare company-specific work packages alongside shared programme work. Local source access and operating acceptance still need owners. A common supplier relationship shouldn't obscure which company receives which deliverable.

Require an operating handover and support boundary

A discussion about handover in AI integration projects asks who handles the first request a system can't resolve. It frames a practical acceptance exercise: can the receiving business handle the exception without asking the developer to make its operating decision? Treat the discussion as a question to test, not a performance benchmark.

Ask the supplier to demonstrate handover with a failed case. The receiving operator should identify the problem, follow the recovery instructions, and know when to escalate. Have your technical owner verify deployment, account recovery, and access withdrawal using the agreed company-controlled arrangements.

Define support in operational terms. Record the hours covered, reporting route, response expectations, and responsibility for diagnosis and correction. Identify who responds to a source-system change, a model-service outage, and an error in a company rule.

Keep continuing maintenance distinct from new delivery. Agree how the supplier reports service performance and requests a scope change. If your company relies on the supplier to operate part of the system, make that dependency explicit and define continuity arrangements.

Identify specialist boundaries. An implementation team may need support from privacy, legal, security, or domain specialists. Ask which work the proposal includes, who is qualified to perform it, and where a separate engagement or independent reviewer is required.

For assurance work, ask about independence as well as competence. Testing performed by the team that built a system provides evidence about its delivery. If you require an independent opinion, establish who can provide it and which work they will examine.

Record the comparison, conflicts, and next decision

Use a decision record that preserves evidence and unanswered questions. Set mandatory requirements before deciding how to compare strengths. A missing source-access decision or unresolved ownership term shouldn't disappear inside an overall score.

Compare the same evidence for each shortlisted proposal.
CriterionEvidence to requestQuestion to resolve
Delivery scope.Review the accepted output and exclusions.Who completes the remaining workflow?
Proposed people.Meet the named leads and confirm allocation.Who does the work and covers absences?
Delivery proof.Inspect references and relevant artifacts.Which claims could you verify?
Data and access.Review destinations, permissions, and handling arrangements.Who authorises and maintains the boundary?
Handover and support.Demonstrate a failed case and the recovery route.Can the receiving team operate the result?
Complete commitment.Compare responsibilities, dependencies, and ongoing obligations.What work and exposure stay with your company?
Conflicts and specialist work.Record affiliations, incentives, and review boundaries.Who evaluates a potential conflict or missing expertise?

Ask about referral arrangements, reseller incentives, and relevant affiliations. Have the responsible buyer assess whether they affect the recommendation and how the engagement handles them. Record a proposed later delivery role when the same supplier also advises on the initial choice.

Select a first commitment that resolves the next material decision. It may be a bounded assessment, a test of an uncertain integration, or a defined production release. Agree the acceptance evidence and the review point before authorising expansion.

Our service catalogue explains the work we cover, and the AI implementation guide describes the production-delivery scope. Use your own decision record to compare a proposed engagement, then ask the named team to close the specific gaps that could change your selection.

Put the work into practice

AI implementation, agents and production deployment

We help SMEs and scale-ups put AI into a specific business workflow. We define the problem, prepare the data, build the software, and help your team operate it in production.