Collective Campus vs ExpandIQ: which fits your team?

Choosing between Collective Campus and ExpandIQ is less a question of which is "better" and more a question of what problem your organisation is actually trying to solve. The two companies overlap in the area of AI upskilling, but they come from different places and are built for different jobs. This guide compares them fairly, using ExpandIQ's own public pages for every claim about ExpandIQ, and explains who each one suits.

Short answer

ExpandIQ presents itself as an AI strategy, implementation and engineering partner, with AI upskilling as one service among several, plus its own TeamHiiv platform. Collective Campus is a capability building company for teams, covering AI training and adoption alongside design thinking, customer experience, agile, psychological safety, critical thinking, AI governance and high-performance teams. Choose ExpandIQ to plan, build and embed AI systems. Choose Collective Campus to build the skills and team behaviours that make AI stick.

At a glance comparison table

Who ExpandIQ is

Everything in this section is drawn from ExpandIQ's own public pages and attributed to them.

ExpandIQ's homepage tagline is "Grow profit. Shrink waste. Work Smarter." Their site describes the company as helping Australian businesses "lift margins, reduce effort and make better decisions with AI, data and technology." It also says they work with organisations in Melbourne and across Australia.

What they offer

Their site lists a broad service menu that covers what it calls "the full lifecycle of practical AI adoption":

• AI Strategy Consulting
• AI Implementation
• AI Governance Consulting
• AI Transformation and Embedded Delivery
• AI Engineering
• AI Upskilling and Training
• Forecasting and Business Planning
• Applied Data and Analytics

They also promote a platform called TeamHiiv, which their site describes as "the operating system for AI in your organisation," bringing structure, security and governance to how AI is adopted and used.

How they describe their approach

ExpandIQ's pages frame the core problem as AI experiments that stall when they meet day-to-day operations. Their site says they help organisations "move from ideas to working systems, from scoping and prioritisation through build and rollout, with governance and enablement in place." They describe themselves as a partner who can "plan, build and embed the work alongside your team."

Their site puts the emphasis on outcomes such as working solutions in 30 to 90 days, productivity improvements for individuals and for redesigned workflows, standardised quality, and governed adoption. The site notes that results vary by scope, baseline and adoption. We do not repeat their specific figures here, and any buyer interested in them should ask ExpandIQ directly how they are measured.

Their AI training offer

The ExpandIQ upskilling page is where the closest overlap with Collective Campus sits. Their site says the programmes "combine live training, hands-on application, coaching and reinforcement so people move beyond experimentation and start using AI in useful, safe and repeatable ways." It says they deliver training for organisations across Australia, in person and online, covering tools such as Microsoft Copilot, ChatGPT, Claude, Google Gemini and TeamHiiv.

The page describes a five-stage programme. Based on the stages their public page sets out:

1. Discovery and training design. Mapping the workflows and repeated tasks causing friction, which teams are already experimenting with AI, which tools and systems are available, role-specific use cases, and current governance, privacy and security expectations. Their site says this may include a discovery workshop with team leaders, subject matter experts and internal AI champions.
2. Live skills-building sessions. Interactive sessions in person or online, with their site mentioning formats such as short weekly learning cycles, half-day workshops or a broader organisation-wide programme. Sessions can be recorded for revision and future onboarding.
3. Applied workplace tasks. After each session, learners apply the techniques to a relevant task such as improving a recurring report or preparing a client communication.
4. Coaching and reinforcement. Structured group coaching sessions where people review practice tasks and improve their approaches. Their site says this also helps early adopters support colleagues.
5. A fifth stage. Their public page describes five stages, but the research text available for this article cuts off after the fourth, so the fifth stage is not described here.

Their site also says they build responsible AI judgement into the learning, covering sensitive information, output quality, hallucinations, verification and review and approval processes, rather than treating it as a separate compliance exercise.

What their public site does not say

To keep this comparison fair, it is worth noting what we could not find stated on their public pages: named facilitators or who leads sessions, session counts and cohort sizes, a list of Australian cities beyond Melbourne, and coverage of areas like psychological safety, design thinking or agile as services. That is not a criticism. It simply means a buyer should ask about these directly.

Who Collective Campus is

Collective Campus is a capability building company for teams. Its positioning is "Building high-performance culture and teams for the AI world." It was founded in Melbourne by Steve Glaveski and Sean Qian. Its innovation work dates from 2015 and its AI work from 2022, and it serves organisations across Australia, including Sydney, Melbourne, Brisbane and Canberra. You can read more on the about us page.

What Collective Campus covers

The programme range is deliberately broader than AI alone, because high-performing teams in an AI-enabled workplace need more than tool skills. Areas include:

• AI training and adoption, including AI programmes such as a 90-day AI adoption sprint, AI champions and a leadership team AI immersion
• AI governance and AI governance programmes
• Design thinking, customer experience and lean startup and product sprints
• Agile and productivity
• Psychological safety and critical thinking
• High-performance teams

How the workshops feel

Collective Campus workshops are known for energy and entertainment. Founder Steve Glaveski has a background in stand-up comedy and bands, and that shapes the facilitation: sessions are lively, people stay engaged, and the content is built around practical tools that participants use the next morning. Steve Glaveski still leads flagship workshops.

What Collective Campus is not

Collective Campus is a capability building company, not a software house. It does not build and run production AI systems or sell a proprietary AI platform. If the main thing a buyer needs is engineering, system integration or a platform, that is a different job, and the honest answer is that a specialist engineering partner may fit better.

Deep comparison across eight dimensions

1. Approach: build the system versus build the people

The clearest difference is the centre of gravity. ExpandIQ's public site is organised around delivering AI outcomes: strategy, implementation, engineering, governance and a platform, with training as one of the services in the lifecycle. Their homepage language, such as "working systems, not slide decks" and "internal tools, shipped sooner," points to a build-and-embed partner.

Collective Campus is organised around capability. The starting question is not "what should we build?" but "what do our people need to be able to do, and how do they need to work together, for AI to deliver value?" The output is a team that can use AI well, make good judgements about it, collaborate effectively and keep improving after the programme ends.

Neither approach is superior in the abstract. An organisation that already has the skills internally but needs a system built is better served by a build partner. An organisation that has tools in place but low, uneven or unsafe usage is more likely to need capability and behaviour change. Many organisations need both at different moments, which is why the shortlist advice later in this article matters.

2. Breadth of capability

ExpandIQ's breadth is technical and commercial: strategy, implementation, engineering, forecasting, analytics and governance, all oriented around AI, data and technology. That is a coherent offer for a business that wants one partner across planning, build and rollout.

Collective Campus's breadth is human and organisational. Alongside AI training, it covers the capabilities that determine whether people can do something useful with AI: how they think critically about outputs, how they run structured experiments, how they design for customers, how they work in short cycles, and whether it feels safe to raise concerns or admit mistakes.

This matters because AI adoption problems are often not tool problems. A team that does not feel psychologically safe will not surface the risky use case or the hallucinated output. A team without critical thinking habits will over-trust a confident answer. A team without a method for testing ideas will run pilots that never connect to customer value. Collective Campus's wider programme range exists to address these conditions. Our guide to what makes a high-performing team in the AI world goes deeper on this.

3. Depth of behaviour change

Both providers say they care about practice and reinforcement, and it is worth being fair about that. ExpandIQ's upskilling page describes applied workplace tasks, group coaching, peer discussion and feedback, with the aim of turning techniques into habits and giving early adopters a way to support colleagues. That is a sound design for AI skill development, and it is clearly built around the day-to-day work of each group.

Collective Campus approaches behaviour change from a slightly wider angle. The goal is not only that people apply an AI technique to a task, but that team norms shift: how decisions get made with AI input, how disagreement is handled, how experiments are run and shared, and how leaders model the behaviour they want. This is why psychological safety, critical thinking and high-performance team work sit next to the AI programmes rather than in a separate silo.

A practical way to test depth with any provider is to ask what will be different in how the team works six months later, and how they would know. We cover this in the scoping questions table below.

4. Leadership involvement

ExpandIQ's public site says that executives may need to understand AI strategy, governance and delegation, and that programmes are tailored by role. Their strategy and governance services also speak directly to leadership. Specific leadership-immersion formats are not described on their public pages.

Collective Campus treats leadership alignment as a core part of adoption. The leadership team AI immersion exists because adoption stalls when senior leaders are unsure what they are asking their teams to do, or are sending mixed signals about risk and permission. Steve Glaveski still leads flagship workshops, which means senior participants get a facilitator with real credibility in the room. For a practical template, see how to run an AI workshop for your leadership team.

If your sponsor is a CEO or executive team that wants to build a shared understanding before committing to a build, a leadership-first programme is a natural starting point. If your sponsor is an operations or technology lead who already has a clear mandate and wants delivery, a build partner may be the quicker path.

5. AI, governance and risk

Both providers take governance seriously. ExpandIQ offers a dedicated AI Governance Consulting service, which their site describes as helping organisations "set guardrails, reduce risk and scale AI with confidence." Their TeamHiiv platform is also positioned as bringing structure, security and governance to AI use, and their implementation pages talk about controls for access, oversight and auditability. In training, their site says responsible AI use is built into the learning.

Collective Campus approaches governance through two routes. First, AI governance work helps leadership teams and risk owners set sensible guardrails. Second, responsible use is built into the AI training itself, so that people know what information they can share, how to verify outputs and when human review is required.

The difference lies in what governance is attached to. ExpandIQ's governance is tied closely to their implementation and platform work, which suits organisations wanting technical controls and auditability. Collective Campus's governance is tied closely to people and decision-making, which suits organisations whose main risk is inconsistent judgement and unclear permission. Regulated sectors often need both layers. If that is you, see our sector pages for government, financial services and legal teams.

6. Measurement

ExpandIQ's public site is explicit about measurement in a commercial sense: it lists categories such as time to value, individual productivity, workflow productivity, standardised quality and governed adoption, and notes that results vary by scope, baseline and adoption and that they track these measures on each engagement. That is a transparent framing. We do not reproduce their figures because we cannot verify them and they depend on engagement specifics, but it is reasonable to ask how each measure is baselined.

Collective Campus does not publish invented statistics, and it would be wrong to claim precise uplift numbers here. What it offers is a measurement conversation during scoping. Together with the client it identifies what a good outcome looks like for the team, such as use cases adopted, quality of AI-assisted work, confidence and willingness to raise issues, or experiments completed, and how that will be observed.

Whichever provider you consider, a useful test is whether the measures are agreed before the work starts, whether there is a baseline, and whether the measures include behaviour as well as output. Be cautious of any provider, including us, who offers a headline percentage without a method behind it.

7. Facilitation style

ExpandIQ's site describes sessions as combining clear instruction, demonstrations and guided exercises using examples that reflect the work of the group. It does not describe the personality or style of facilitation, and it does not name facilitators, so we cannot compare on that dimension from public information.

Collective Campus is open about its style. Sessions are high energy and entertaining, shaped by a founder with a stand-up comedy and band background, and always grounded in tools participants can use the next morning. For many teams this matters more than it sounds. Training on a topic as anxiety-provoking as AI works better when people are engaged, laughing and willing to try things, rather than sitting through a slide-heavy briefing. Some organisations prefer a quieter, more technical style, and that is a legitimate preference to raise on a scoping call with any provider.

8. Fit for Australian organisations

Both companies work with Australian organisations. ExpandIQ's site says they work with organisations in Melbourne and across Australia, and that their training is available in person and online across the country. Their public pages do not list other cities by name.

Collective Campus was founded in Melbourne and delivers in Sydney, Melbourne, Brisbane, Canberra and beyond, with city pages for high-performance teams in Sydney, Melbourne and Brisbane, and design thinking in Sydney and Melbourne. Online options are covered on the online AI training page.

For Australian buyers the practical questions are local: can the provider run in person in your city, do they understand the Australian regulatory and privacy context, and can they work with distributed teams across states? Ask both directly rather than assuming.

Who each suits

Choose ExpandIQ if...

• You want a single partner to plan, build and embed AI systems, not only train people.
• You need engineering capability, workflow automation, forecasting or data and analytics work alongside training.
• You are interested in a governed AI platform such as the TeamHiiv product their site describes.
• Your sponsor is looking for delivery of working solutions and a roadmap tied to business outcomes.
• Your main gap is the technical build and integration, not team behaviours or culture.
• You value an offer organised around margin, waste reduction and measurable operational outcomes, as their homepage frames it.
• You want AI training connected tightly to a broader implementation programme with the same provider.

Choose Collective Campus if...

• Your main challenge is capability and behaviour: uneven AI use, low confidence, over-trust or fear of using AI.
• You want AI training that sits alongside critical thinking, psychological safety, design thinking and agile, so teams can use AI inside better ways of working.
• You want leadership alignment through something like a leadership team AI immersion before committing to larger spend.
• You want an energetic, entertaining facilitation style with practical tools people can use the next morning, led by a founder-facilitator for flagship workshops.
• You need AI governance framed around people, decisions and permission, not only technical controls.
• You want a provider whose breadth covers innovation methods and customer experience as well as AI.
• You are happy to do the technical build separately, or already have it covered.

When you might want both

It is common for organisations to need a build or platform partner and a capability partner at different points. A team that has just invested in a platform and implementation may discover that tool access has not translated into confident, consistent use. A team that has invested in capability may discover it now needs engineering support to productionise its best ideas. Treating the two as complementary, rather than rival, is often the most realistic view.

Alternatives to ExpandIQ in Australia

If you are searching for ExpandIQ alternatives, it helps to think in categories rather than a single list, because providers differ in what they actually do.

• Capability and training specialists. Providers focused on workshops, programmes and coaching that build skills and team behaviours. Collective Campus sits here, with a wider scope than AI alone. See our guides on how to choose an AI training provider in Australia and the best AI training for teams in Australia.
• AI strategy and implementation consultancies. Firms that plan and build AI systems and may include training as part of a wider engagement. ExpandIQ is positioned in this category on its own site.
• Large professional services firms. Global advisory firms with AI and transformation practices, typically suited to large, complex enterprise programmes.
• Technology vendor training. Training offered by tool vendors, useful for product-specific skills but usually not tailored to your workflows or team behaviours.
• Online course libraries. Self-paced courses that suit individual learning but rarely change how a team works together.
• Internal builds. Some organisations develop capability internally with a champions network. Our AI champions programme is designed to support that model.

Whatever you decide, shortlist three providers rather than two, and make sure at least two come from different categories. Comparing a build partner, a capability specialist and a large advisory firm side by side usually clarifies what you actually need faster than comparing similar providers.

Decision checklist

Use this checklist before you commit to any provider, including Collective Campus.

• We can state the problem in one sentence: skills, behaviours, systems, governance or all of these.
• We know whether our biggest gap is people capability or technical build.
• We have agreed who the executive sponsor is and what they expect.
• We have identified three to five real workflows or use cases the programme should address.
• We know which AI tools are approved for use and what data can and cannot be shared.
• We have a view on our risk and compliance obligations in our sector.
• We know what success looks like and how we would observe it six months after the work.
• We have asked each provider how they baseline and measure outcomes.
• We have asked who actually leads the sessions and whether they are the people we met in the sales conversation.
• We have confirmed in-person availability in our city or a credible online option.
• We have asked how the programme is tailored to our roles and tools, not a generic curriculum.
• We have asked what reinforcement happens after the main sessions.
• We have checked how the provider handles responsible AI, privacy and verification.
• We have asked what the provider will not do, and where they would refer us elsewhere.
• We have considered whether leadership needs its own session before wider rollout.
• We have seen examples of materials, formats or case studies relevant to our context, such as those on the case studies page.
• We have shortlisted three providers and compared them against the same questions.
• We have agreed internally who owns adoption after the provider leaves.

Questions to ask any provider on a scoping call

How a scoping call with Collective Campus works

A scoping call with Collective Campus is a conversation, not a sales presentation. It is designed to work out whether Collective Campus is the right fit, and if it is, what the right programme looks like. Programmes are tailored after the call, so there is no standard package to select from.

A typical scoping conversation covers:

1. The outcome you want. What should be different about how your people work, think and collaborate? This might be AI confidence, safer use, better decisions, stronger leadership alignment or faster experimentation.
2. Who is involved. The sponsor, the participants, any champions and the leaders whose behaviour will shape adoption.
3. Your current state. Which tools are approved, where usage is strong or weak, what governance exists and what the main concerns are.
4. Context and constraints. Your sector, your regulatory environment, your cities and whether you need in-person, online or both.
5. How success will be recognised. What you would expect to see change, and how that would be observed.
6. Fit and alternatives. If your need is primarily technical build or platform work, we will say so, and suggest you look at a specialist engineering partner. If your need is a mix, we can discuss how a capability programme could complement what you already have.

After the call, Collective Campus proposes a tailored programme and the conversation continues from there. There is no obligation, and the call is a good place to test the questions in the table above, including on us. If you want to prepare, our guides and the article on how to choose an AI training provider in Australia are useful starting points.

FAQ

Is ExpandIQ the same kind of company as Collective Campus?

Not quite. ExpandIQ's public site presents it as an AI strategy, implementation and engineering partner, with AI upskilling as one of several services and its own platform, TeamHiiv. Collective Campus is a capability building company for teams, covering AI training and adoption alongside design thinking, agile, psychological safety, critical thinking and high-performance teams. They overlap on AI training but are built for different jobs.

What are the best ExpandIQ alternatives in Australia?

It depends on what you need. If you want capability and team behaviour change, Collective Campus is an option. If you want strategy and implementation, look at AI consultancies. Large advisory firms suit complex enterprise programmes, and vendor training suits tool-specific skills. Whatever you choose, shortlist three providers from at least two categories before deciding.

Does ExpandIQ offer AI training?

Yes. Their site lists AI Upskilling and Training as a service and describes tailored programmes combining live training, applied tasks, coaching and reinforcement. They say training covers tools such as Microsoft Copilot, ChatGPT, Claude and Google Gemini, in person and online across Australia. Details such as facilitators, session counts and group sizes are not stated on their public site.

Does Collective Campus build AI software or platforms?

No. Collective Campus builds capability, meaning the skills, judgement and team behaviours people need to use AI well. It is not a software house or engineering firm and does not sell a proprietary AI platform. If your main need is system build or integration, a specialist engineering partner will fit better, and we will say so on a scoping call.

Which is better for AI governance, Collective Campus or ExpandIQ?

They approach governance differently. ExpandIQ offers a dedicated governance consulting service and ties controls to its implementation and platform work, according to its site. Collective Campus focuses on governance that shapes people and decisions, including permission, verification and review habits, and builds responsible use into training. Regulated organisations often need both technical controls and strong human judgement.

Can Collective Campus train teams in Sydney, Melbourne, Brisbane and Canberra?

Yes. Collective Campus was founded in Melbourne and delivers programmes across Australian cities, including Sydney, Brisbane and Canberra, in person and online. There are dedicated pages for high-performance teams in Sydney, Melbourne and Brisbane, and for design thinking in Sydney and Melbourne. Delivery format is agreed during the scoping call based on your teams and locations.

How much does Collective Campus cost compared with ExpandIQ?

Collective Campus does not publish prices because every programme is tailored after a scoping call, and we do not repeat any other provider's pricing here. The most reliable way to compare cost is to scope the same outcome with each provider, ask what is included, and compare the proposals against the same checklist of questions.

Who leads Collective Campus workshops?

Collective Campus was founded by Steve Glaveski and Sean Qian, and Steve still leads flagship workshops. Facilitation is known for being energetic and entertaining, drawing on founder Steve Glaveski's background in stand-up comedy and bands, and focused on practical tools teams can use the next morning. Who leads a specific programme is confirmed during scoping.

Should we hire both a build partner and a capability partner?

Sometimes. Organisations that invest in systems often find tool access does not automatically create confident, consistent use, which is where capability work helps. Organisations that invest in capability may later need engineering to productionise ideas. If your needs are mixed, ask each provider where their scope ends and how they would work alongside another partner.

How do we know if AI training is actually working?

Agree the measures before the work starts. Good measures include behaviour as well as output: adoption of specific use cases, quality of AI-assisted work, confidence, willingness to raise concerns and experiments completed. Establish a baseline, then check at set intervals. Be cautious of any provider offering headline percentage uplifts without explaining how they are baselined and measured.

Where should we start if we are not sure what we need?

Start with a clear one-sentence statement of the problem, then talk to two or three providers from different categories. A scoping conversation should help you work out whether you need skills, behaviours, systems, governance or a combination. Our article on how to choose an AI training provider in Australia walks through this process step by step.

Next step

If you are weighing up Collective Campus and ExpandIQ, the most useful thing you can do is run the same scoping conversation with both and compare what you hear. If you would like to include Collective Campus in that shortlist, book a scoping call. There is no obligation, programmes are tailored to your team after the call, and if your need turns out to be a technical build, we will tell you plainly and point you in the right direction.

Sources

• https://www.expandiq.io
• https://www.expandiq.io (AI Upskilling and Training service page, as supplied in the research text)