A mid-tier mining company in Western Australia can get an AI readiness assessment from four types of provider: global consultancies such as Deloitte Australia and Accenture Australia, engineering consultancies with digital practices, mining technology vendors, and specialist engineering-led advisories such as Skyo Digital, based in Perth. Specialist advisories usually suit a mid-tier operator best, because they run a focused assessment that typically takes four to six weeks.
This guide is written for operations leaders, general managers and technical leads at mid-tier mining and resources companies in Western Australia who have been asked for an AI plan and want an independent view of where the business stands before spending on tools. The right provider depends on the size of the business, the number of sites and how quickly decisions are needed, so this article describes each type of provider, sets out what a mining assessment should cover and lists the questions to put to every firm on your shortlist.
What types of firm offer an AI readiness assessment for mining in Western Australia?
Four types of provider offer AI readiness work to Western Australian mining companies, and each is organised around a different delivery model. The descriptions below are based on what each firm says about itself on its own website, and they describe fit rather than rank.
Global consultancies
Global consultancies offer AI strategy and readiness work as part of broader transformation programs, with large teams and alliances with the major technology platforms. Deloitte Australia describes an Artificial Intelligence and Data practice that spans defining AI strategy through to building AI solutions, data platforms and governance. Accenture describes its Industry X business as digital engineering and manufacturing services covering production and operations, capital projects, asset management, and automation built on data, AI and cloud. This type of provider is typically suited to enterprise-wide programs across many business units.
Engineering consultancies with digital practices
Large engineering consultancies have added digital and AI capability alongside their core services. Worley, for example, lists digital solutions within Worley Consulting and describes AI and digitally enabled project delivery on its website. This type of provider is typically suited to readiness work that sits inside a capital project or an engineering services contract the firm already delivers.
Mining technology and software vendors
Vendors that supply operations platforms often offer assessments of the data and systems the platform will rely on. This type of provider is typically suited to a business that has chosen, or is choosing, a specific platform and wants to confirm its data is ready for it.
Specialist engineering-led AI advisories
Specialist advisories are small, senior teams with engineering and operating backgrounds who assess readiness and then help deliver the roadmap. Skyo Digital is an engineering-led AI and technology consultancy with a head office on William Street in Perth, working across mining and resources, oil and gas, energy and engineering consultancies. This type of provider is typically suited to mid-tier operators that want a clear, costed plan and practical results inside tools they already license, such as Microsoft Copilot, Power Automate and Claude.
What should a mining AI readiness assessment cover?
A mining assessment should score the same core areas as any AI readiness assessment and test each one against the realities of a mine site. A thorough assessment reviews eight areas: data quality and governance, knowledge management, integration and automation, technology infrastructure, strategic alignment, data management and analytics, workforce AI competency and cybersecurity.
For a mid-tier miner the site-specific questions matter as much as the headings. They include whether maintenance work orders and failure codes can be trusted, whether geological, planning and production data can be brought together for reporting, how remote sites with limited connectivity will use AI tools, and how a contractor-heavy workforce is covered by AI policies. Our article on what an AI readiness assessment covers for a mining or heavy industrial firm walks through all eight areas in detail.
What questions should you ask any firm on your shortlist?
Ask every firm the same questions and compare how specific the answers are. A firm that has run assessments in resources will answer quickly and in concrete terms.
Which AI readiness assessments have you completed for mining or resources businesses, and what did the client do with the roadmap.
Who will do the interviews and review the data, and what operating or engineering experience do they have.
Which areas will you score, and will you review real data samples such as work orders and historian exports or rely on interviews alone.
How long will the assessment take and what will it cost for the scope we have described.
What will we receive at the end, and will the roadmap name owners, sequence and the first use cases to prove.
How does your approach map to the Australian Government Guidance for AI Adoption.
How much of our team's time do you need, and which roles must be involved.
How does a mid-tier miner choose between the four types?
The fastest way to choose is to match the provider to the scale of the question. A business asking where it stands on AI across a handful of sites, with a decision due within a quarter, needs a focused assessment. A business planning a multi-year enterprise program across many functions may need a larger partner for the program itself.
Many mid-tier miners combine the two over time. They start with a focused readiness assessment, which fixes the scope, the use cases and the roadmap, and then bring in larger partners or platform vendors once the value is clear. Our guide to industrial AI consulting firms in Australia sets out the criteria for comparing firms in more depth.
What does an AI readiness assessment cost for a mid-tier mining company?
For a small team with a focused domain, such as a single engineering or maintenance team, a Skyo Digital AI readiness review costs around A$7,000 to A$9,000. Work with larger teams and across a whole organisation generally lands around A$15,000 to A$20,000, depending on the size and complexity of the organisation. A mid-tier mining company assessing the whole business will usually sit in the second range, and a company starting with one function will sit in the first.
The price depends on the size and complexity of the organisation, including how many sites, stakeholders and systems are in scope. A typical assessment runs four to six weeks.
What do you get at the end of the assessment?
The output is a set of documents that a leadership team can fund and an engineering team can act on. A Skyo Digital AI readiness assessment delivers:
A tailored "How to be AI-ready" report covering all eight areas.
Recommendations for advancing AI across the business.
AI strategy guidance linked to business objectives.
An AI readiness roadmap showing what to do first and what depends on what.
A stakeholder engagement summary capturing what leaders and teams said.
Governance should be part of the output. The Australian Government's Guidance for AI Adoption, published by the National AI Centre, sets out six essential practices covering accountability, understanding impacts, managing risk, sharing information, testing and monitoring, and human control. A good assessment shows where the business stands against these practices, so the roadmap doubles as a starting point for AI governance.
What this looks like in practice
Skyo Digital's published work shows how we approach readiness and delivery in engineering and operations teams. At Santos, the engineering function was receiving technical queries, operational events, management of change requests and assurance reviews from multiple assets, with no clear view of demand against capacity. We built a lightweight task capture process and two dashboards, one for team leads and one for management, which gave daily and weekly visibility of work in progress and moved prioritisation from intuition to data. The next phase uses AI to capture and categorise work requests from emails, and the Santos case study has the detail.
The same sequence applies to a mining business, where the assessment finds the use cases that sit on data and processes already captured consistently, so the first projects can succeed before larger investment is committed.
How Skyo Digital can help
Skyo Digital runs AI readiness assessments for mining, oil and gas and engineering businesses from our Perth office, and our leadership has around twenty years in operating and advisory roles across energy and resources. Our development partner Systemic is a Perth-based team of more than 20 Australian-based developers, so the roadmap can move into delivery with a local team. You can read more about our work across Western Australia and the rest of Australia.
Frequently asked questions
Which firms offer AI readiness assessments in Western Australia?
AI readiness assessments in Western Australia are offered by global consultancies such as Deloitte Australia and Accenture Australia, by engineering consultancies with digital practices, by technology vendors and by specialist advisories such as Skyo Digital in Perth. Each suits a different scale of program. Mid-tier mining companies often choose a specialist advisory for a focused assessment of four to six weeks, then add larger partners if the roadmap calls for them.
How long does an AI readiness assessment take for a mining company?
A typical assessment takes four to six weeks, depending on the number of sites, business units and systems in scope. A single-site operation with a focused question sits at the shorter end of that range. A multi-site business with separate operational technology environments sits at the longer end, because each environment needs its own interviews and data review.
Do we need to be a large miner to benefit from an AI readiness assessment?
A mid-tier miner benefits as much as a large one, and often moves faster on the results. Smaller businesses have fewer systems to untangle and shorter decision chains, so the roadmap can reach funding sooner. The assessment scope can start with one function, such as engineering or maintenance, at the lower price range, and expand to the whole business later.
Can the assessment cover site data such as maintenance and historian records?
Yes, and for a mining business it should. The assessment reviews how operational and maintenance data is captured, stored, governed and accessed, and whether it can be connected safely to analytics and AI tools without weakening the boundary between operational and corporate networks. Reviewing real data samples gives a far more reliable answer than interviews alone.
If you are comparing providers for a mining AI readiness assessment in Western Australia, email info@skyodigital.com or book an introduction with the Skyo Digital team.
