Solve8 helps Adelaide organisations decide where AI is worth the money, then builds it. Most of the work is business automation: the reporting, paperwork and data entry that sit between your systems and still get assembled by hand every month. We also set up Microsoft 365 Copilot safely and write the governance a board or a contract will ask for.
Adelaide organisations can also engage us for IT consulting in Adelaide. We do not resell hardware, so advice on software selection, Microsoft 365 and cloud carries no equipment margin. Where a purpose-built internal app or dashboard is the answer, we handle the custom software development too.
Every engagement is scoped in writing with a fixed fee per phase. Start with our AI strategy and advisory service or go straight to business process automation.
We start from the problem in front of you. The organisations below come in every size and share a kind of work that automation handles well. If one sounds like your week, a scoping call will tell you quickly whether there is a project worth doing.
Supplier invoices, statements and claim forms arrive as PDFs and get typed into Xero, MYOB or the ERP. Extraction with a person checking exceptions takes most of that off the team.
Law firms, accountants, engineers and consultancies spend hours on document review, file notes and client reporting. AI drafts and checks, and a qualified person signs off.
Care documentation, rostering and compliance reporting take time away from clients. Automation helps when it is built around the regulator's rules and a clinician's review.
South Australian agencies work under state guidance on generative AI tools, and suppliers are asked how their systems handle official information. We document that as we build.
Orders in one platform, finance in another, HR in a third, and a spreadsheet joining them every week. We connect them so the numbers agree without anyone retyping.
Suppliers to the defence and space programs carry security obligations and heavy evidence requirements. Manufacturers, wineries and food producers carry quality and traceability records.
Most enquiries from South Australian organisations fall into a handful of patterns. Each has a well understood fix, and sometimes the right fix involves no AI at all. Our comparison of automation and manual processes covers how to tell the difference.
A pipeline collects the data on a schedule, validates it on the way in and publishes the report, so month end becomes a review of figures that are already there.
Automated compliance reportingExtraction reads the document, checks it against purchase orders or job records and sends mismatches to a person. The rest flows into the system of record.
Multi-agent document processingRecurring submissions can be built from source records with the evidence attached and version history kept, so the next audit question has an answer on file.
Payment times reporting automationLegacy finance, practice and production systems can usually be reached through the database, scheduled exports or a supported connector. We pick the least fragile route and document it.
Integrating legacy systems with AIA governed internal assistant, with data held in an Australian region or on your own servers, gives people a sanctioned option and gives IT a log.
How the wrong AI tools leak business dataPilots stall without a reliable source of truth or a hand-off to a person. We fix both before anyone tunes a prompt.
What makes an AI pilot succeedMost monthly reporting is an export, a spreadsheet, and someone rebuilding the workbook they built last month. It takes days, it breaks when a column moves, and the person who understands the formulas eventually leaves.
Automated reporting replaces that assembly step. Data is pulled from the source systems on a schedule, validated on the way in and published to a dashboard or a formatted pack. Each number carries a trail back to its source record, which matters when a prime contractor, a funder or an auditor asks how a figure was derived.
For Seymour Whyte, a Tier 1 infrastructure contractor in the VINCI group, we replaced emailed spreadsheets with standardised templates, SharePoint and Power BI for carbon reporting. Groups with several Xero organisations can start with a product that already consolidates them. For a plain English question layer on top, see plain English dashboards with an AI agent.
Production, project and financial views that read from your systems, refreshed on a schedule.
Recurring submissions assembled from source records, with supporting evidence and version history kept.
Several Xero or MYOB organisations rolled into one set of figures, with intercompany eliminations in the pipeline.
Australian-hosted by default, or inside your own network where the information requires it.
See what this would take in your business
A free 30-minute review on Microsoft Teams. Bring the process you want fixed and leave with a clear first step.
Many Adelaide organisations have an AI budget approved and no agreed answer to what it should be spent on. Advisory work settles that with a costed document that you own whether or not you build with us. Rejected ideas are written up too, so nobody reopens them next year without new information.
Our article on AI strategy compared with AI implementation sets out when to start with advice and when to go straight to a build, and the four week proof of concept framework shows how a first pilot is structured.
Candidate processes across finance, service, HR and operations, ranked by payback and difficulty so cheap wins surface first.
Which systems connect, where the data lives, and what must change first.
Build and running costs set against current effort, written to survive a finance review.
Privacy obligations, data residency, human review points and the security conditions in your contracts.
A pilot on one process first, so the approach proves itself before budget goes to a program of work.
We name the tools that fit, including tools we do not sell. You own the document and can execute it with anyone.
Copilot answers from whatever each user can already open in SharePoint, OneDrive, Teams and Outlook. Microsoft documents this directly: Copilot only surfaces organisational data that the individual user has at least view permission to. In a firm with years of client folders, or a provider with patient and staff records, permissions that nobody has reviewed become the main risk.
The Digital Transformation Agency's evaluation of the Australian Government Copilot trial reported that participants saw Copilot surface sensitive information that had never been stored or permissioned properly.
So readiness work happens before the licences are bought: audit, fix or contain, then pilot.
Sites open to everyone, anonymous links, broken inheritance and ownerless sites, from SharePoint Advanced Management reports.
Where payroll, HR, client, patient and board material lives, and whether Purview sensitivity labels cover it.
Restricted Content Discovery keeps risky sites out of Copilot answers while the clean-up finishes.
A group with clean access, measured tasks, and an agreed rule for buying more licences.
Most Adelaide organisations already own Power Automate through their Microsoft licences. Often a flow is the right tool, and we will say so in the scoping call. This is the test we apply.
Many good designs use both: a flow moves data between systems and a model handles the one step that needs reading or judgement. For the wider tool choice, see our comparisons of AI and RPA and of Zapier, Make and n8n. Where the job needs something no platform offers, we take it on as custom AI development.
The South Australian Government's guideline on the use of large language model AI tools tells public sector staff not to enter personal information, or official information unsuitable for public release, into publicly available AI tools. It recommends that agencies set an AI strategy, a usage policy and a governance framework.
Health, aged care and disability providers carry their own obligations on top of the Privacy Act. We design for a clinician or care manager reviewing every output that affects a person, and we keep records of what the system did and who approved it.
A data flow diagram, the hosting location, vendor training terms and a list of every automated step and the person who reviews it.
Guides on the rules that shape AI use in clinical, aged care and NDIS settings.
See what this would take in your business
A free 30-minute review on Microsoft Teams. Bring the process you want fixed and leave with a clear first step.
Adelaide's defence industry centres on naval shipbuilding at Osborne and the suppliers around it, and the Australian Space Agency is headquartered at Lot Fourteen. Any Australian entity can apply for the Defence Industry Security Program. Members appoint a Chief Security Officer and a Security Officer, hold personnel clearances to suit their membership level and declare any foreign ownership, control or influence. Those conditions decide what an AI system may touch, so for that work we default to models running inside your own environment.
For manufacturers, wineries and food producers the common starting points are visual quality inspection, demand forecasting and getting plant data into the ERP without a full MES.
South Australian organisations handle personal information under the Privacy Act 1988, and many also under sector or contract rules. AI raises questions those rules did not anticipate: where a prompt is processed, whether a vendor trains on it, and who can explain an automated decision.
We default to Australian cloud regions. For sensitive workloads we deploy open models on your own servers or private cloud. See Australian compared with offshore AI development.
Private AI infrastructureFrom 10 December 2026, amendments to the Privacy Act require privacy policies to describe substantially automated decisions that significantly affect individuals.
Privacy Act rules for automated decisionsThe systems we build log inputs, outputs and the person who approved each exception, so an auditor can trace a figure back to its source.
AI agent governance and human overrideThe Cyber Security Act 2024 introduced ransomware payment reporting, and any AI system adds a new path into your data that needs the same controls as the rest.
Engagements are scoped and fixed per phase, so stopping after discovery is a legitimate outcome.
A free 30 minute call, then a written scope with a fixed fee for the first phase. You decide before any work starts.
Workshops in the room with the people who do the work, and the rest over Microsoft Teams. We map the process, pull sample data and recheck the business case.
Short build cycles against your real data, in your environment or an Australian cloud region. One process is piloted before any rollout.
Documentation, training and admin access stay with you. Your team runs it from there, or we look after it under a managed service.
After handover, some organisations keep us on through managed AI services, and teams with their own developers sometimes prefer team augmentation. Our AI consulting buyer's guide and how to choose an AI consultancy list the questions to ask any firm, including us. For a quick read on where you stand, try the AI readiness assessment.
We tell you when a candidate project will not pay for itself, we write governance in from the start, and the person who scopes the work also does it.
Each phase has a written scope and a fixed fee, so you approve the cost before work starts and can stop after any phase.
The consultant who scopes the job also builds it, with no account manager in between and no handoff to a junior team after the sale.
We build and operate our own software, including Carbonly for emissions data and SupportAgent for on-premise incident investigation. Both are the founder's own products.
Australian business, working nationally
Australian regions or your own servers
Governance written into every scope
Registered Australian business
Our principal consultant brings 18 years of enterprise delivery experience from projects for BHP, Rio Tinto and Senex Energy, delivered with previous consulting employers. These companies are not Solve8 clients. You work directly with senior people, not a sales team handing you off to juniors.
Practical guides on the questions that come up most in South Australian scoping calls
Common questions about AI consulting and business automation for Adelaide and South Australian organisations
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