Collective Campus vs Mindiam: which is the better fit for your team?

Choosing between Collective Campus and Mindiam comes down to a single question: are you trying to get a specific piece of AI work done, or are you trying to change how a whole team thinks, behaves and works in an AI world? Both organisations run AI training for Australian teams. They come at the problem from different directions, and the right choice depends on what you need to be true twelve months from now.

This guide compares the two fairly. Everything we say about Mindiam comes from their own public pages, and we attribute it that way. Where their site does not state something, we say so rather than guess. Where Mindiam is the better fit, we say that too.

Short answer

Mindiam is an Australian AI automation and software business that also sells fixed-scope, role-specific AI tool training on ChatGPT, Copilot and Claude. Collective Campus is a capability building company for teams, covering AI adoption, governance, design thinking, psychological safety and high-performance team culture. Choose Mindiam for automation builds and tool-focused workshops. Choose Collective Campus when behaviour change, leadership alignment and team culture matter as much as tool skills.

At a glance comparison table

Who Mindiam is

Everything in this section comes from Mindiam's own public pages at mindiam.com, and we have not independently verified it.

Mindiam describes itself as an Australian business that "builds automations and AI-powered software for Australian businesses." Their home page says they take "the repetitive jobs that eat your week (quoting, data entry, reporting, follow-ups)" and hand them to AI. They state an Australian-registered ABN and say they build and support in Australia on a fixed-scope basis with AU$ pricing.

Their site organises the business into four service pillars: Automations, Custom AI Software and Integrations, AI Consulting and Implementation, and AI Training. Training is one of four services, not the whole business. That matters when you read the rest of their site, because a good deal of the language (payback windows, hours returned, automations shipped) is oriented to the automation and software work.

What Mindiam says about its AI training

Their training page describes "hands-on, practical workshops" that get teams applying ChatGPT, Microsoft Copilot and Claude to their actual work. Their site says they train on tools a client already pays for, including GitHub Copilot, in real workflows rather than "generic theory or prompt-engineering theatre."

Their site sets out a five-step methodology:

1. Assess the team. They say they map current AI confidence, licensed tools and the weekly workflows with the most time to gain, and that they shadow real work rather than rely on a survey.
2. Design the curriculum. A plan built around the client's industry, toolset and the skill range from first-time to power users.
3. Run hands-on workshops. Their site says these run in small cohorts, in person or live remote, on real tasks and real data.
4. Build a prompt library. A shared, reusable library of prompts and helpers the team keeps extending after the workshops.
5. Support and measure. Follow-up Q&A sessions, a dedicated Slack or Teams channel, and a written report measuring adoption and time saved against a baseline.

Their site says every team leaves with a shared prompt library, and that the aim is "confident daily use, not a one-off buzz." They also state a preference for short, practical programmes over drawn-out multi-month courses.

Industries, locations and resources

Mindiam's site lists vertical pages for accountants, legal, healthcare, financial advisors, real estate, trades and construction, retail and not-for-profits. It lists locations across all eight Australian capitals plus a set of tier-2 cities. It also publishes free guides, including an automations guide, an AI tool buyer's checklist and a playbook on being cited by AI search, as well as news, reviews and a blog.

Their site features case studies and references involving Atlassian, Coles Group and CSIRO Data61. Their pages frame these as examples of AI in production and AI investment in Australia. We read them as context and illustration on their site, and we do not claim anything about the nature of Mindiam's involvement with those organisations beyond what their pages say. If that matters to your decision, ask them directly.

What their public site does not state

To keep this comparison honest, here is what we could not find stated on the pages we reviewed: who personally leads workshop sessions, any dedicated AI governance or policy programme in their training offer, and any programme focused on team culture, psychological safety or leadership behaviours. This is not a criticism. A business can do excellent work without listing every detail publicly. It simply means you should ask these questions on a call.

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, and you can read more on the about us page.

The company has worked in innovation capability since 2015 and in AI since 2022. That longer history in how teams actually learn, experiment and change their habits shapes how Collective Campus approaches AI. It does not treat AI as a standalone tool problem. It treats it as one of several capabilities a team needs to build together, alongside critical thinking, customer insight, experimentation and psychological safety.

Programme range

The programmes span AI training and adoption, design thinking, customer experience, lean startup and product sprints, agile, productivity, psychological safety, critical thinking, AI governance and high-performance teams. On the AI side that includes the AI training hub, the AI programs suite, AI champions, a leadership team AI immersion, the 90 day AI adoption sprint, AI governance, AI design sprints and online AI training.

How workshops feel

Collective Campus workshops are known for energy and entertainment. Founder Steve Glaveski comes from a stand-up comedy and band background, and that shows up in how sessions run: lively, participatory and designed so people stay engaged rather than switching off at the second hour. The point is not entertainment for its own sake. People change what they do when they are engaged, and the programmes are built around practical tools a team can use the next morning.

Steve still leads flagship workshops. Programmes are tailored to the organisation after a scoping call, which is why we do not publish fixed formats, prices or group sizes here.

Deep comparison

1. Approach: tool skills versus capability and behaviour

The clearest difference is where each organisation starts.

Mindiam's own site frames the business around outcomes like hours returned, costs cut and a payback window. Their site says they "build to a 30-day payback" and that a single well-built automation "typically" returns more than ten hours a week to a small team. On the training page, the focus is applying ChatGPT, Copilot and Claude to the actual work, with a measured report on time saved. This is a tool-and-workflow approach, and it is a legitimate one. If the problem is that people have licences and do not use them well, hands-on tool training on real tasks addresses it directly.

Collective Campus starts one step back. The question it asks is what a team needs to be able to do, and how it needs to work together, for AI to improve outcomes rather than generate more output of mixed quality. That includes tool fluency, but it also includes how people frame problems, test assumptions, challenge AI outputs, share what works and feel safe admitting what they do not know. Those are behaviours, and behaviours change through practice, feedback and leadership example, not only through prompt techniques.

Neither approach is wrong. They answer different questions. A team that cannot yet use Copilot to summarise a meeting has a skills gap. A team where one enthusiast uses AI heavily, the rest quietly avoid it, nobody trusts the outputs and the leadership team has not agreed what it wants has a capability and culture gap. Many organisations have both, and the order in which you address them matters.

2. Breadth: one service of four versus a capability portfolio

Mindiam's training sits alongside automation building, custom software and consulting. Their site describes the four services as fixed-scope engagements, and one benefit of that mix is that training can sit next to implementation. If you want a provider who can train your team and also build the automation that removes a manual process, a single supplier is attractive. Their site says they "start with whatever pays back fastest."

Collective Campus is broader on the capability side and narrower on the build side. Beyond AI, a team can build skills in design thinking, customer experience, lean startup and product sprints, agile, productivity, psychological safety and critical thinking. This breadth matters because AI adoption rarely fails for purely technical reasons. It stalls when teams do not know which problems are worth solving, when people fear looking foolish, or when experiments never become decisions.

So the breadth question is really about what kind of breadth you need. If you want the widest range of technical delivery under one roof (workflow automation, apps, integrations), Mindiam's model is built for that. If you want the widest range of human capability building in one relationship, Collective Campus is built for that. Collective Campus is not a software build shop, and it does not pretend to be.

3. Depth of behaviour change

This is where the difference in model shows most.

Mindiam's methodology, as described on their site, includes strong practical elements: shadowing real work in the assessment, working on live tasks in the workshops, a reusable prompt library, a support channel and a written adoption report. Those are sensible mechanisms for helping tool habits stick, and the prompt library in particular is a good idea because it turns individual learning into shared team assets. Their site describes the workshop phase as typically two half-days per cohort, followed by several weeks of support. We note that detail because it is on their public site, not because it is a standard for the market.

Collective Campus designs for behaviour change as a first-order goal, not a by-product of tool training. That usually means working with the team on how decisions get made, how experiments are run and reviewed, how leaders respond when someone raises a concern about an AI output, and how learning gets shared so that one person's discovery becomes the team's practice. The 90 day AI adoption sprint and the AI champions programme are examples of structures that keep adoption going after the initial workshops, by building internal capacity rather than relying on an outside provider to remain involved.

Our honest read: if your main risk is that people never open the tool, tool-focused training with a shared prompt library will move you quickly. If your main risk is that people open the tool, produce plausible-looking work nobody checks, and the organisation never learns what is actually working, you need the deeper behavioural work. See also our thinking on what makes a high-performing team in the AI world.

4. Leadership involvement

A frequent reason AI programmes plateau is that the leadership team is not aligned. If executives disagree about what AI is for, which risks they will accept and which workflows are off limits, teams receive mixed signals and default to caution.

Mindiam's public training page describes the work at team level: assessing the team, designing the curriculum, running cohorts. Their site does not describe a dedicated leadership alignment programme, and we do not claim they lack the ability to do one. If leadership alignment is part of what you need, ask them how they handle it.

Collective Campus treats leadership alignment as part of the work. The leadership team AI immersion exists because executives need a shared, hands-on understanding of what the tools can and cannot do before they can sensibly set direction, and our guide on how to run an AI workshop for your leadership team covers the principles. For senior audiences, our writing on design thinking training for executives reflects the same belief: leaders learn best by doing the work, not by watching slides.

5. AI governance and risk

For Australian organisations in regulated or reputation-sensitive sectors, governance is not optional. Questions about data handling, acceptable use, human review, accountability and record-keeping need answers before widespread adoption, not after an incident.

On Mindiam's home page, their site mentions "human in the loop" and "Australia-resident model options" among the capabilities they list, and their consulting service covers where AI pays off. Their AI training page, as supplied to us, does not describe a dedicated AI governance or policy component. Their site does reference, in their news and resources, material on AI and the national interest, but we have not reviewed its content here and make no claims about it. If governance matters to you, ask what they cover and how.

Collective Campus offers dedicated AI governance work as its own programme area, and the AI governance programme is designed to help organisations set practical guardrails that people can actually follow, rather than a policy document that lives in a folder. This is particularly relevant for government, financial services and legal organisations, where the cost of getting it wrong is high and where adoption often stalls precisely because nobody has agreed the rules.

The practical difference: governance is a core strand at Collective Campus and can be woven into any adoption programme. Mindiam's public training page is focused on productivity and tool use. Neither of those is a flaw, but a risk-sensitive buyer should weigh it.

6. Measurement

Both organisations care about showing that something changed, which is a good sign.

Mindiam's site describes a baseline set at the start and a written report measuring adoption and time saved after the programme. Time saved against a baseline is a clear, intuitive measure and executives understand it. Their site also states a general commitment to pay-back thinking, such as building to a 30-day payback on automation work. If your sponsor wants a simple productivity figure, this is attractive. As with any time-saved metric, it is worth asking how it is measured in practice, whether it is self-reported or observed, and what is excluded.

Collective Campus approaches measurement as part of scoping rather than applying one fixed metric to every client. The right measure depends on what the programme is for. For an adoption programme it might be sustained use of tools in defined workflows. For a culture programme it might be observable behaviours such as how often assumptions are tested before a decision. For a governance programme it might be the proportion of teams working within agreed guardrails. We do not publish statistics on outcomes here, and we would rather agree measures with a client than quote headline numbers that do not apply to their situation. When comparing any two providers, ask each how they will know the programme worked and what they will show you at the end.

7. Facilitation style

Style matters more than most buyers admit. A technically perfect session that loses the room at 2pm changes nothing.

Mindiam's site describes the format as hands-on, practical and on real tasks, in small cohorts. The tone of their public pages is plain-spoken and operator-like ("No sales pitch. Just operators."). Practical, applied sessions on live work are well suited to people who want to get to the point and learn by doing.

Collective Campus is known for energetic, entertaining workshops. That reputation comes from founder Steve Glaveski's background in stand-up comedy and bands, and from a deliberate belief that adult learning sticks when people are laughing, moving and participating. The humour is in service of practical content, and the tools are ones a team can pick up the next morning. For teams that are sceptical, fatigued by training or anxious about AI, a facilitator who can lift the energy and make it safe to try things is a real asset. For teams that want a very quiet, technical working session, the style difference is worth discussing on a call.

8. Fit for Australian organisations

Both organisations are Australia-first. Mindiam states an Australian-registered business, AU$ pricing and wide coverage of capitals and tier-2 cities, with local content for each. For a small or regional business that wants a nearby provider who understands local industries, that coverage is a genuine strength, and their site lists vertical pages for sectors such as accounting, legal, healthcare, real estate, trades and retail.

Collective Campus was founded in Melbourne and delivers across Australia, with dedicated pages for Sydney, Melbourne and Brisbane high-performance team work, along with design thinking in Sydney and design thinking in Melbourne. It is well suited to mid-sized and larger organisations, including those with multiple teams and sites, where consistency of approach and leadership alignment matter. Government and regulated sectors in Canberra and the capitals often fall into this category.

Size and structure are probably the best guide. A ten-person practice that wants its admin automated and its staff confident with Copilot has different needs from a 2,000-person organisation trying to build a shared AI capability across divisions. Be honest about which one you are.

Who each suits

Choose Mindiam if...

• You want automation or custom software built, not only training, and prefer one provider for both.
• Your goal is quick, tangible time savings on defined, repetitive tasks such as quoting, reporting, data entry and follow-ups.
• You are a small or mid-sized business that wants a fixed-scope, AU$ priced engagement (their site says services are fixed-scope and AU$ priced).
• Your team mainly needs tool fluency in ChatGPT, Copilot or Claude on real work, with a prompt library to keep.
• You value a local provider in a regional centre or tier-2 city and want vertical content for your sector.
• You want a written adoption and time-saved report at the end.
• You prefer a plain, operator style and short, practical programmes.

Choose Collective Campus if...

• You want AI adoption tied to team behaviour, culture and leadership alignment, not only tool skills.
• Your leadership team needs a shared, hands-on understanding of AI before setting direction.
• Governance, risk and acceptable use are central, particularly in government, financial services or legal contexts.
• You want to build several capabilities together, such as AI plus design thinking, critical thinking, psychological safety or product experimentation.
• You want to build internal capacity (champions, sprints) so adoption continues without ongoing outside support.
• Your team is sceptical, fatigued or anxious about AI and would benefit from an energetic, engaging facilitation style.
• You want programmes tailored after a scoping conversation rather than picked from a fixed menu.
• You are a mid-sized or larger organisation with multiple teams that need a consistent approach.

When you might use both

These are not mutually exclusive. A reasonable pattern for some organisations is to use a build-focused provider for specific automations and a capability-building provider to prepare the people who will use, review and govern them. If you go this way, make sure the governance and the training are consistent with what is being built.

Alternatives to Mindiam in Australia

No single provider suits every buyer, and the market has several types worth knowing about. We describe these generally and do not make claims about specific competitors.

• AI automation and software studios. Smaller Australian firms that build automations and apps and sometimes include training. They suit buyers who want a specific system built.
• Capability building and workshop providers. Organisations focused on training teams and leaders, including AI, innovation and ways-of-working programmes. Collective Campus sits in this category.
• Large consultancies and the major advisory firms. Suited to enterprise-wide transformation, strategy and technology programmes, usually at a different scale and cost structure.
• Technology vendor training and partner programmes. Training offered by the makers of specific tools, useful for product depth but narrower on organisational change.
• Universities and institutes. Short courses and executive education, often strong on foundations and credentials, less tailored to a single team's workflows.
• Online course platforms. Self-paced learning that is cheap to start and difficult to turn into team behaviour change without internal facilitation.
• Internal programmes. Some organisations build their own with an internal champions network, which can work well when there is genuine capacity.

Our advice: shortlist three providers, ideally from different categories, and run the same scoping questions past each of them. The differences become obvious quickly. For more on this process, see how to choose an AI training provider in Australia and our roundup on the best AI training for teams in Australia.

Decision checklist

Work through this before you commit to any provider, including us.

• We have written down the specific outcome we want twelve months from now, not just "AI training".
• We know whether our main gap is tool skills, team behaviour, leadership alignment, governance, or a mix.
• We have decided whether we need something built (automation, software) or someone's capability developed.
• Our leadership team agrees on why we are doing this and what is off limits.
• We have checked what data our people may and may not put into AI tools, and the provider's approach to this.
• We know which tools we are licensed for and want the training to cover.
• We have identified who in the organisation will own adoption after the provider leaves.
• We have asked who actually leads the sessions, not just who sells the engagement.
• We have asked how the programme is tailored to our workflows, not delivered off the shelf.
• We have asked how success will be measured and what evidence we will see at the end.
• We have asked what follow-up support exists and what it covers.
• We have asked how governance, risk and accountability are addressed.
• We have asked how the provider handles sceptical or resistant participants.
• We have checked that the provider has experience in our sector or similar ones.
• We have asked for references or examples we can speak to directly.
• We have compared at least three providers using the same questions.
• We have confirmed delivery format (in person, online) suits our locations and schedules.
• We have confirmed in writing what is in and out of scope, including prices and timeframes, before signing.

Questions to ask any provider on a scoping call

How a scoping call with Collective Campus works

The scoping call is a conversation, not a pitch. It is where we find out whether Collective Campus is the right fit, and sometimes we conclude it is not.

Typically the conversation covers:

1. What you are trying to achieve. The business outcome, the team or teams involved and what success would look like to you and your sponsor.
2. Where the team is today. Current tool use, attitudes to AI, past training attempts and what has and has not worked.
3. Constraints and context. Sector, regulation, data sensitivity, locations, existing policies and anything leadership has already decided.
4. Where the gaps are. Whether the priority is tool skills, behaviours, leadership alignment, governance or some combination.
5. Possible shapes of a programme. Based on what we hear, a proposed approach drawing on the relevant programme areas.

After the call, we tailor a proposal. Because every engagement is shaped to the organisation, we do not publish prices, durations or group sizes on this page, and the proposal is where those details are set. If we think another provider, including Mindiam, would serve you better, we will say so.

You can explore programme areas beforehand in our guides and case studies, or read about how we approach innovation capability and high-performance teams. If intrapreneurship is on your agenda, see how to run an intrapreneurship programme in a large Australian organisation.

FAQ

Is Mindiam an AI training company?

Mindiam describes itself as an Australian business that builds AI automations and custom software, with AI consulting and AI training as additional services. Their site lists training as one of four service pillars. If your priority is training alone, check whether it fits; if you also want things built, the combined offer may suit you.

What does Mindiam's AI training cover?

Their site says it covers hands-on workshops applying ChatGPT, Microsoft Copilot, Claude and GitHub Copilot to a team's real work. It describes assessing the team, designing the curriculum, running small-cohort workshops, building a shared prompt library, and providing follow-up support and a measurement report.

How is Collective Campus different from Mindiam?

Collective Campus is a capability building company focused on team culture, behaviour and leadership alongside AI adoption, with programmes in governance, design thinking, psychological safety and more. Mindiam's public site centres on automation, software and tool-focused training. They overlap on AI training but differ in breadth, emphasis and facilitation style.

Which is better for AI governance and risk?

Collective Campus offers dedicated AI governance programmes, which suits regulated and risk-sensitive organisations. Mindiam's AI training page, as published, does not describe a governance component, though their site mentions human-in-the-loop and Australia-resident model options. If governance matters, ask both providers exactly what they cover and how.

Does Collective Campus build automations or software?

No. Collective Campus is a capability building company, not a software or automation build studio. It helps teams develop the skills, behaviours and governance needed to adopt AI well. If you need a specific automation built, a provider such as Mindiam, whose site describes automation and software services, may be a better fit.

Can an organisation use both providers together?

Yes, some organisations pair a build-focused provider for specific automations with a capability-building provider to prepare the people who will use, review and govern them. The key is making sure training, governance and what is being built stay consistent with each other and with your own policies.

Who leads Collective Campus workshops?

Steve Glaveski, a co-founder, still leads flagship workshops. The company was founded in Melbourne by Steve Glaveski and Sean Qian. Workshops are known for their energy and entertainment, drawing on founder Steve Glaveski's background in stand-up comedy and bands, combined with practical tools teams can use the next morning.

What does Collective Campus training cost?

Collective Campus programmes are tailored to each organisation after a scoping call, so we do not publish fixed prices, durations or group sizes. The proposal that follows the call sets those details. We suggest comparing proposals from at least three providers on scope and outcomes, not only on price.

Which Australian cities do the providers cover?

Mindiam's site lists Sydney, Melbourne, Brisbane, Perth, Adelaide, Canberra, Hobart, Darwin and several tier-2 cities. Collective Campus is Australia-first with dedicated Sydney, Melbourne and Brisbane pages and delivery to other centres by arrangement. Confirm in-person availability for your location on a scoping call.

How does a buyer choose between AI training providers?

Define the outcome you want first, then decide whether your gap is tool skills, behaviours, leadership alignment, governance or a mix. Shortlist three providers and ask each the same questions about who leads sessions, tailoring, measurement, follow-up and governance. Our checklist above sets out the questions to ask.

Is Mindiam or Collective Campus better for a small business?

It depends on the need. Their site says Mindiam offers fixed-scope, AU$ priced engagements across many Australian cities, which may suit a small business wanting quick, defined wins. Collective Campus suits organisations seeking deeper team capability, culture and governance work. A small business with a narrow goal may prefer a narrower scope.

Does Mindiam's training include leadership or culture work?

Their public training page does not describe a leadership alignment or culture programme, focusing instead on team-level tool use. That may simply reflect how they present the offer rather than what they can do. If leadership alignment or culture matters to you, ask them directly how they would approach it.

Next step

If you are weighing up Mindiam, Collective Campus and one or two other options, the most useful thing you can do is get specific about the outcome you want and put the same questions to each provider. If you would like to see whether Collective Campus is the right fit, book a scoping call. We will talk through your goals, your teams and your constraints, and tailor a proposal from there. If another provider is a better match, we will tell you.

Sources

• https://mindiam.com
• https://mindiam.com (AI Training page, "AI Training for Australian Teams")