AI consultants for Sydney and NSW organisations

AI Consulting and Advisory Services in Sydney

Finance teams rekeying invoices, client service teams buried in email, reports rebuilt in Excel every month, and a Microsoft 365 tenant nobody has checked before Copilot arrives. We help Sydney organisations work out which AI projects are worth funding, then build them, with governance that holds up whether your obligations come from a client contract, APRA or the NSW Government.

Some of the work Sydney firms bring us needs no AI at all. We also provide IT consulting in Sydney, covering software selection, Microsoft 365 and cloud decisions, and custom software development for the client portals and internal tools a packaged product cannot handle.

Start with our AI strategy and advisory service, or read our guide to AI advisory services in Sydney.

Who We Help in Sydney

Most Sydney enquiries start with everyday work: documents handled by hand, systems that do not share data, reports that take days, and customers waiting on a reply. Some also carry an obligation, such as a prudential standard or a client confidentiality duty, that decides what an AI project can and cannot do. These are the groups we hear from most, in every size.

Finance, admin and operations teams on disconnected systems

Invoices rekeyed into Xero or an ERP, customer emails answered from scratch, and a spreadsheet that reconciles two systems by hand each week. Common in finance, customer service, distribution and field teams across Sydney.

Law, accounting and advisory firms

Matter files, engagement letters and working papers sit in SharePoint and practice systems with years of loose permissions. Confidentiality between clients has to survive any AI tool you switch on.

Boards and executives asked for an AI position

A board wants to know what the organisation is doing about AI, what it will cost and what could go wrong. Advisory work answers those three questions in a document the board can approve or reject.

APRA-regulated entities and the firms that serve them

Banks, insurers, super trustees and the technology, claims and administration providers behind them. Any AI tool that touches a critical operation now has to sit inside the operational risk regime.

Suppliers selling into NSW Government

Agencies now register and assess their AI use cases on a central platform, and they need evidence from the vendors whose software contains the AI. Suppliers who can hand that evidence over early are easier to buy from.

Infrastructure and construction contractors

Project teams spread across sites and joint ventures, each with its own spreadsheets. Carbon, safety and progress figures need to agree before a client or an auditor asks for them.

What Sydney AI Advisory Work Produces

Many Sydney organisations already have AI in production without having decided to. A CRM vendor switched on a summarisation feature, a document platform added extraction, a team bought a chat licence on a credit card. Advisory work starts by finding what is already there, because a regulator or an agency buyer will ask about it first.

From there we rank new candidates and write the governance section a board can sign. Our article on AI advisory for Australian boards covers what directors should expect to see, and the AI business case template shows how the financial case is laid out.

Use case inventory

Every AI feature already running, including the ones vendors switched on inside software you already own, listed with an owner.

Ranked opportunities

Candidate processes scored on payback, data readiness and regulatory exposure, so the board sees the trade-offs side by side.

Regulatory mapping

Which obligations each use case touches: CPS 230 and CPS 234 for regulated entities, the NSW AI Operational Policy for agency suppliers, and the Privacy Act for everyone.

Vendor and service provider view

Where an AI vendor becomes a material service provider, and what the contract needs to say about notification, testing and exit.

Costed roadmap

Build, run and licence costs set against current effort, with a single pilot first so the case is proven on one process.

A document you own

Written so your team or another provider can execute it. We name tools we do not sell where they are the better fit.

Copilot Readiness for Sydney Firms

Microsoft 365 Copilot answers from whatever each user can already open. In a law or accounting firm, a SharePoint site created for one client and shared too widely years ago becomes a confidentiality problem the day Copilot is switched on, because a plain English question can now find it.

Microsoft's data residency documentation lists Australian data centres in Sydney and Melbourne and covers Copilot as a stored workload for tenants whose default geography is Australia. Processing of prompts is a separate question: Microsoft states that requests from customers outside the EU may be processed in other regions. If a client contract or regulator requires in-country processing, raise it before you buy.

Readiness work comes first: audit, fix or contain, then a measured pilot.

Matter and client separation

Check that SharePoint sites holding one client's files are not readable by staff walled off from that client.

Everyone-level access

Find sites shared with every internal account, anonymous links and broken inheritance using SharePoint data access governance reports.

Labels on regulated content

Map where customer, claims and HR records live, and whether Purview sensitivity labels cover them before Copilot can read them.

A pilot with clean access

Start with a team whose permissions are already tidy, measure the work Copilot helps with, then decide on more licences.

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.

Book your free review

AI Under APRA's Prudential Standards

Two of APRA's cross-industry standards shape almost every AI conversation we have with a bank, insurer or super fund. CPS 230 Operational Risk Management came into force on 1 July 2025 and requires an entity to manage its operational risks, keep critical operations running through disruption and manage the risks that come from service providers. APRA released targeted amendments on 30 April 2026, and the updated standard commenced on 1 July 2026.

CPS 234 Information Security has applied since 1 July 2019. It requires an entity to notify APRA no later than 72 hours after becoming aware of a material information security incident, and within 10 business days of a material control weakness it cannot fix in time. An AI system that reads customer records is an information asset under that standard like any other.

In practice this means an AI vendor supporting a critical operation may be a material service provider, with a place on the register, contract terms and ongoing monitoring. Our guide to CPS 230 and AI service providers covers where AI helps with the evidence load and where a named person has to make the call.

What we build into a regulated AI project

  • A service provider assessment for each AI vendor before it is connected.
  • Logging of inputs, outputs and the person who approved each exception.
  • Tolerance-aware fallbacks, so a critical operation keeps running if the model is unavailable.
  • Information asset classification for the data each model can read.
  • An evidence pack your risk team can file without rewriting it.

Selling AI Into NSW Government

The NSW Government has run an AI assurance framework since 2022, and this year it became an operating requirement. Department of Customer Service Circular DCS-2026-02, issued on 30 July 2026, makes the NSW AI Operational Policy mandatory for agencies and replaces the older AI Ethics Policy. From 30 September 2026, agencies must use the AIAF Platform for every new AI use case registration and assessment, according to Digital NSW. The first signed annual attestation is due by 31 October 2027.

The policy states it is not mandatory for third-party suppliers. Agencies are still required to manage supplier AI risk through procurement and contracts, and contracts must let suppliers disclose AI use and notify material changes. The buyer's obligation becomes the supplier's paperwork.

Our detailed guide to the NSW AI Assessment Framework for agencies and suppliers sets out the registration questions, risk bands and dates. For the wider bid picture across Commonwealth and state buyers, see AI compliance requirements for government contracts.

Map your product to the questions

Work out in advance which features are likely to trigger a full assessment, so a buying team is not surprised halfway through procurement.

Build one evidence pack

Data sources, testing, human oversight and change control in a single pack. The same pack largely serves Commonwealth buyers under the DTA policy.

Commit to change notification

Write model and vendor change notification into your standard terms before an agency asks. See our notes on AI tender compliance for contractors.

Professional Services and Infrastructure Work

Outside financial services, the Sydney projects that pay back fastest tend to involve documents: engagement letters, contracts, working papers, site reports and claims. The common thread is a person retyping something a machine can read, with a reviewer checking the result.

Law and accounting practices

Document review, time capture and client onboarding, including the identity and risk checks that AML/CTF Tranche 2 brings to lawyers and accountants.

Documented client work

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. The same pattern applies to contractors on transport and utility projects across New South Wales.

Climate and infrastructure obligations

Sydney-listed groups preparing AASB S2 climate disclosures, and operators of assets covered by the Security of Critical Infrastructure Act, both need figures and controls that trace to a source.

Configure What You Own, or Build Something New?

Sydney organisations often hold more licences than they use. Before proposing a custom build we check whether Power Automate, Copilot or a feature in your existing platform already covers the job, because a configured tool is easier for a risk team to approve and cheaper to run.

Configure first when

  • The work happens inside Microsoft 365 and the data is already structured.
  • A licence you already pay for, such as Power Automate or Copilot, covers the task.
  • The steps are fixed and a compliance team can read the flow and approve it.
  • A business analyst on your side can maintain it after go-live.

A custom build earns its cost when

  • Documents arrive as PDFs, scans or emails in many layouts.
  • A step needs judgement, such as reading a policy wording against a claim.
  • The process crosses a core banking, policy admin or practice system with no connector.
  • You need prompts and documents processed inside your own environment.

Our AI and RPA comparison and the total cost of ownership guide for build or buy go deeper on the choice. Where the answer is a build, it becomes custom AI development or process automation, and where old platforms need connecting we follow our approach to integrating legacy systems with AI.

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.

Book your free review

Privacy, Governance and Where Data Lives

Every Sydney project we scope answers the same governance questions in writing: where prompts are processed, whether a vendor may train on them, who reviews an automated output, and how a decision is explained to the person it affected.

Data residency and private AI

We default to Australian cloud regions. For work a regulator or client contract treats as sensitive, open models run on your own servers or private cloud.

Automated decisions

From 10 December 2026, Privacy Act amendments require privacy policies to describe substantially automated decisions that significantly affect individuals. Credit, claims and onboarding workflows are the obvious candidates.

Privacy Act rules for automated decisions

Human oversight

Each system logs what it read, what it produced and who approved an exception, so an internal auditor can follow a figure back to its source.

AI agent governance and human override

A governance framework to hang it on

Use case approval, data access rules and incident handling written once and applied to every project, whether or not we build it.

How a Sydney Engagement Runs

Each phase is scoped and priced before it starts, so stopping after discovery is a normal outcome.

After handover, some organisations keep us on under managed AI services, and teams with their own developers often prefer team augmentation. Our AI consulting buyer's guide lists the questions to put to any firm you are comparing, including us.

Where we work in New South Wales

Sydney CBD and Barangaroo
North Sydney and Macquarie Park
Parramatta and Western Sydney
Eastern Suburbs and Inner West
Norwest and the Hills District
Liverpool and South West Sydney
Newcastle and the Hunter
Wollongong and the Illawarra

Regional NSW manufacturers and processors can read about our manufacturing and processing work.

1

Scoping call

A free 30 minute video call. If there is a project, you receive a written scope with a fixed fee for the first phase.

2

Discovery in Sydney

Workshops in the room with the people who do the work, usually one or two days, and the rest over Microsoft Teams.

3

Build and pilot

Built in your tenancy or an Australian cloud region under the access controls your security team sets. One process is piloted first.

4

Handover

Documentation, runbooks and admin rights stay with you, along with the evidence your risk or audit team will ask for.

Why Sydney Organisations Talk to Solve8

We are a small consultancy, and that shapes how we work.

The person who scopes it builds it

You deal with the consultant doing the work, with no account manager or offshore team in between.

Regulated delivery background

Our principal consultant spent 18 years on data and systems projects for BHP, Rio Tinto and Senex Energy, gained while working with previous consulting employers. These companies are not Solve8 clients.

We run AI ourselves

The founder's own products include Carbonly for emissions data and SupportAgent for on-premise investigation.

Australian Owned

Australian business, working nationally

Data in Australia

Australian regions or your own servers

Governance in Every Scope

Privacy Act and sector rules addressed in writing

ABN 84 615 983 732

Registered Australian business

Enterprise Experience, Direct Access

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.

18 Years Enterprise DeliveryProven SaaS Track Record

AI Advisory in Sydney: Frequently Asked Questions

Questions Sydney organisations ask about AI advisory, regulation and delivery

Have a question about AI for your Sydney organisation that is not covered here?

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