AI Consulting FAQ for Australian Organisations

Yes, Solve8 works with organisations across Australia from its base in Brisbane. Most discovery, workshops and build work runs remotely over Teams, with site visits when a plant walk-down or an in-room workshop works better. See our pages for Sydney, Melbourne, Brisbane, Perth and Adelaide, and for industrial regions such as Mackay and Gladstone.

Both. Solve8 offers vendor-neutral IT consulting covering IT strategy, software selection, Microsoft 365, cloud and integration, and custom software development for internal apps, portals, workflow tools and dashboards. AI is one option inside that work, used where it earns its place. We work alongside your existing IT support provider rather than replacing it.

A first engagement starts with a free 30-minute discovery call, followed by a written scope and a fixed price for one short phase, such as an AI strategy review, a Copilot readiness assessment or a four-week proof of concept. Each phase ends with something you can use on its own, so you decide whether to fund the next one with evidence in hand. The steps are set out on our pricing page.

Choose an AI consultant who asks about your systems, data and obligations before proposing a tool, and who scopes work in phases with deliverables you can check. Ask who will actually do the work, whether your data leaves Australia, how they handle the Privacy Act and what happens after the pilot. Our AI consulting guide, how to choose an AI consultancy and AI consulting buyer's guide list the questions and red flags in detail.

Hire a consultant when you need a defined outcome or an outside view quickly, and build in-house when AI work will be continuous and central to how you operate. Many organisations do both: a consultant scopes and delivers the first use cases, then hands them to staff who run them. Recruiting AI specialists takes time, and team augmentation can bridge that gap. Our consultant vs in-house hire vs agency comparison works through the costs and trade-offs.

Our principal consultant spent 18 years on projects for BHP, Rio Tinto and Senex Energy, gained while working with previous consulting employers. These companies are not Solve8 clients. Solve8's documented client work includes carbon reporting in Power BI for a Tier 1 infrastructure contractor. The founder has also built his own products, including Carbonly for emissions reporting and SupportAgent for on-premise incident investigation.

After go-live, Solve8 offers anything from ad hoc help through to fully managed AI services, covering monitoring, prompt and model updates, troubleshooting and training for new staff. AI systems drift as data, suppliers and business rules change, so most need someone checking output quality on a schedule. The level of support is agreed at scoping, and you can step it down once your own team is confident running the system.

Solve8 works with Australian organisations in manufacturing and resources, construction, government, financial services, healthcare and professional services, among others. What qualifies a project is the problem: systems that do not talk to each other, a compliance obligation with a deadline, field operations at scale, or documents and reports rekeyed by hand. Organisation size matters less than whether one of those problems is costing you time or exposing you to risk.

AI consulting in Australia is usually priced by scope, and the cost depends on how many systems are involved, the state of your data, your compliance and security requirements, and whether the work stops at advice or includes a build. Solve8 quotes each phase at a fixed price after a discovery call, so you know the cost before work starts. Published starting points are on our pricing page, and what AI implementation actually costs covers the budget lines buyers often miss.

AI automation is software that uses machine learning or language models to complete tasks people currently do by hand, such as reading invoices, classifying documents, drafting replies and moving data between systems. Unlike fixed rules, it can handle varied formats and flag exceptions for a person to check. It usually connects to systems you already run, such as Xero, MYOB, an ERP or SharePoint. Our AI automation guide and process automation service explain how it is scoped.

AI is worth it when it targets a specific, measurable process such as invoice handling or report preparation, and much less so as an open-ended experiment. At the economy level, Deloitte Access Economics' report The AI Edge for Small Business (November 2025) estimated that wider AI adoption could add $44 billion to Australia's economy. For your own case, measure what the process costs today before choosing a tool. The AI readiness assessment and ROI calculator help with that.

Start by listing the processes that take the most staff time or carry the most risk, then pick one with usable data and a clear measure of success. A short readiness check or AI strategy phase ranks those candidates, and a proof of concept tests the top one before a larger spend. Our free AI readiness assessment is a quick first step you can take today.

An AI strategy engagement delivers a ranked list of use cases, an assessment of the data and systems each one depends on, the governance and privacy steps required, and a phased roadmap with costs and decision points. It should end in a decision your leadership team can act on, with the first use case ready to scope. See our AI strategy service and what an AI strategy consulting engagement gives you.

AI implementation time depends mainly on data quality, the number of systems to integrate and how quickly decisions get made. A focused proof of concept can run in about four weeks, while production rollouts that touch several systems take months. Solve8 gives a timeline after discovery, once the systems and data have been seen, and does not promise one before. Our process automation page sets out the delivery stages.

RPA (robotic process automation) follows fixed rules to repeat structured tasks, such as copying fields between two screens, while AI automation can read unstructured inputs like emails and varied invoice layouts and decide what to do with them. RPA breaks when a screen or format changes. AI copes with variation but needs checks on its output. Many workflows combine the two. See AI vs RPA for a side-by-side comparison.

Usually AI takes over repetitive steps inside a role, and people keep the judgement, the exceptions and the customer relationships. A bookkeeper spends less time keying invoices and more on reconciliation queries; a coordinator stops chasing paperwork. Roles do change, so plan training and communication alongside the technology and involve the people whose work is affected from the start. Change management is part of our AI strategy work.

A Copilot readiness assessment finds what Microsoft Copilot would surface in your tenant before you switch it on, then contains the risky content and designs a pilot you can measure. It covers overshared SharePoint sites, OneDrive sharing links and Teams content, sensitivity labels and Microsoft Purview, and a pilot cohort with baseline task measures. See our Copilot readiness service and the Copilot readiness permissions audit guide.

No. Microsoft states that Copilot only surfaces organisational data the user already has at least view permission to. The exposure comes from access people hold without realising, such as sites shared with "Everyone except external users", organisation-wide sharing links and folders broken out of inheritance. Copilot makes that content far easier to find, which is why Copilot readiness work starts with a permissions audit.

For tenants with an Australian default geography, Microsoft's data residency commitments cover Copilot along with Exchange, SharePoint, OneDrive and Teams, using data centres in Sydney and Melbourne. Microsoft also states that language model processing can be routed to other regions when capacity requires it. If a contract or board policy requires in-country processing as well as storage, raise it with Microsoft before you buy. Our Copilot readiness work flags this early.

AI can comply with the Privacy Act 1988, and whether it does depends on how each use case collects, uses, discloses and secures personal information. APP 11 requires reasonable steps to protect personal information, and the OAIC's October 2024 guidance expects due diligence before adopting commercial AI products. Serious interferences with privacy can attract penalties up to the greater of $50 million, three times the benefit obtained, or 30% of adjusted turnover. See Privacy Act compliance for AI.

From 10 December 2026, organisations covered by the Privacy Act must say in their privacy policy when a computer program uses personal information to make, or substantially and directly support, decisions that could significantly affect an individual's rights or interests. Under the new APP 1.7, the policy must describe the kinds of personal information used and the kinds of decisions made. Read AI automated decisions: 2026 privacy rules and updating your privacy policy for automated decisions.

The NSW AI Assessment Framework (AIAF) is a mandatory risk self-assessment that NSW Government agencies apply when they design, develop, deploy, procure or use systems containing AI. From 30 September 2026 agencies must register new AI use cases and assessments on the AIAF Platform, and use cases assessed as high or critical risk are referred to the NSW AI Review Committee. Suppliers selling AI into NSW agencies should be ready to support that assessment. Our NSW AI Assessment Framework guide covers both sides.

Australia has no standalone AI Act, so AI use is governed by existing laws such as the Privacy Act, the Australian Consumer Law and sector regulation. For governance, the Department of Industry, Science and Resources' Guidance for AI Adoption sets out six essential practices, building on the earlier Voluntary AI Safety Standard, and AS ISO/IEC 42001 provides a certifiable management system. See ISO 42001 in Australia, our AI governance framework and governing AI agents.

Your data is as safe as the provider's storage location, retention settings and training policy allow, so check them before any rollout. Ask where prompts and outputs are stored and processed, whether they are used to train models and who can access them. Keep sensitive information out of consumer AI tools, run a privacy impact assessment for new use cases and prefer business plans with written data terms. Read how the wrong AI tools leak business data.

Yes. AI models can run on servers you control, on-premise or in an Australian cloud region, so prompts, documents and outputs stay onshore. Open-weight language models now handle many document, search and summarisation tasks without sending data to an overseas API. The trade-off is that you own the hardware, patching and monitoring, or pay someone to. Our private AI infrastructure service sets this up, and where your AI data goes explains the options.

Data sovereignty means your data stays under Australian law because it is stored and processed in Australia by parties you can hold to account. For AI, that covers the documents you upload, the prompts staff type, the model's outputs and any logs a vendor keeps. It matters most for health, government, financial services and critical infrastructure data. Our data sovereignty guide and AI data sovereignty for regulated industries go deeper.

Yes. The reliable pattern is to let the historian calculate time-weighted averages, totals and interpolated values at the interval a report needs, and store only those summaries in Power BI or an analytics layer. Pulling raw one-second tags straight into Power BI is slow and fragile. Solve8 designs that layer for AVEVA PI System, SCADA and other historians. See getting historian data into Power BI, Power BI vs PI Vision and our manufacturing and industrial work.

They disagree because each system was built to answer a different question. SCADA keeps live running totals from weightometers and flow meters that drift and reset, the historian integrates compressed tags whose total depends on deadband and interpolation settings, and the ERP infers production from despatches, invoices and stockpile surveys. Fixing it means agreeing one definition per measure and building a reconciliation layer between them. Read when SCADA and your ERP disagree on tonnes.

Plant data is ready for AI when tags follow a consistent naming standard, units and timestamps are reliable, downtime and quality events carry reason codes, and someone owns each data source. AI pilots in operations commonly stall on these foundations, so an OT data readiness review checks them before any model is chosen. See OT tag naming and data standards and why agentic AI needs a real data foundation.

An AI phone receptionist is software that answers business calls with a natural voice, holds a conversation, captures the caller's details and books the job or texts it to you, at any hour. Unlike voicemail or a phone menu, it responds to what the caller actually says. Solve8's CallMate uses Australian voices and starts at $49 a month. Compare the options in AI vs virtual vs human receptionist.

CallMate answers forwarded calls using your business name, captures the caller's name, number, job type and urgency, then books the job into your calendar or texts you the details to confirm. Every call is recorded and transcribed. Setup means forwarding calls to your CallMate number, which takes minutes, and plans run month to month at $49, $99 or $199 with a 14-day free trial. See CallMate for plan details.

CallMate uses a natural Australian voice and conversational language, and if a caller asks whether they are talking to a person, it says it is an automated assistant. Being honest when asked matters under the Australian Consumer Law, which prohibits misleading conduct. For most callers the bigger change is getting an answer straight away instead of a voicemail prompt. Read why callers hang up on voicemail.

Yes. Xero and MYOB both publish APIs that AI tools use for invoice capture, bank reconciliation suggestions, expense coding, cash flow forecasting and reporting. Solve8's ReportingMate consolidates reporting across multiple Xero organisations, and our system integration service connects accounting platforms to CRMs, ERPs and job systems. Read consolidating multiple Xero organisations for the detail.