AI is changing how Australian business works. The ones who do it properly will compound the advantage.
We pick the right AI for the job. We build it inside Microsoft 365 and Azure. MacOS endpoints welcome.
On AI Builds, we earn margin on the engagement — the engineering work — not on the AI vendor's licence. That changes the answer when you ask us what tool you should use. Vendor-neutrality is the operating principle that sits across both departments.
"On AI Builds, our margin is in the engineering,
not in the AI vendor's licence."
Three principles. Concrete behaviours.
"Vendor-neutral" is one of the most overused words on MSP websites. The principles below are the specific behaviours that make our claim real — and the ones a sharp buyer can check.
01
AI-vendor agnostic — for real.
We build with Anthropic Claude, Microsoft Copilot, Copilot Studio, Power Automate, and Azure AI services. We govern AI from any vendor your team is using — ChatGPT, Gemini, Perplexity, whatever's there. We pick tools per project, for fit, not for partner margin.
- We have the right to tell you Copilot isn't the right answer for your use case.
- No contract makes us biased toward the answer being yes.
- We've delivered Copilot rollouts and Claude integrations side by side, in the same quarter.
- Our SoWs name the tool selected and the alternatives considered — every time.
02
Built inside Microsoft 365 and Azure — honestly.
We build inside Microsoft 365 and Azure. We don't deliver AWS-native or GCP-native infrastructure work. We have deep expertise in one stack, and that's where our work lives. The trade-off: you get genuine depth in a Microsoft environment, rather than shallow breadth across three clouds.
- Microsoft 365 — managed since 2017. Tenant operations, security, M365 Copilot.
- Microsoft Defender, Purview, Intune — full security stack management.
- Azure infrastructure — our default build environment.
- MacOS endpoints fully supported. Mixed-fleet environments are normal.
03
Anti-lock-in as a stated discipline.
Most AI engagements quietly create lock-in: bespoke prompts in vendor-locked tooling, data pipelines that don't export cleanly, governance structures assuming one vendor's posture. We architect against this by default. The buyer should always be able to leave.
- Your automations run in your tenant, on infrastructure you control.
- Data flows documented end-to-end, with substitute-vendor paths noted where realistic.
- Every Build includes 6 months of mandatory support — so we can tune outputs, catch edge cases, and make sure the automation is healthy and stable in your environment. It's for you, not us.
- Continuing past 6 months is highly recommended — but not locked in.
Named vendors. Honest depth statements.
Every tool below is on this list because it's in active delivery. We don't list partnerships to look more impressive. If we wouldn't pitch up to a client with this tool today, it isn't on this page.
| Tool | Depth | How we use it |
|---|---|---|
| Microsoft 365 | Deep | Managed since 2017. Tenant operations, security, identity, M365 Copilot configuration, licensing advice. |
| Microsoft Defender / Purview / Intune | Deep | Full security stack management — endpoint, DLP, MDM. |
| Microsoft Copilot (M365) | Deep | Deployed across client environments and configured to Essential Eight / Purview standards. |
| Microsoft Copilot Studio | Working | Custom agent builds in active delivery. |
| Power Automate | Deep | Workflow automation across client environments. |
| Anthropic Claude (API + Enterprise) | Deep | Our preferred model family for reasoning-heavy work, Builds, and internal operations. |
| Azure-hosted models | Deep | Selected when Microsoft-stack alignment, data-residency control, or regulated-industry constraints make Azure-hosted models the right call. |
| Azure infrastructure | Deep | Our default build environment. |
| ChatGPT / Gemini / Perplexity / others | Govern only | Awareness, not deployment. |
"DEEP" = ACTIVE DELIVERY ACROSS MULTIPLE CLIENTS · "WORKING" = ACTIVE DELIVERY OR LIVE PILOTS · "GOVERN ONLY" = COVERED BY OUR GOVERNANCE LAYER WITHOUT EVISENT DEPLOYMENT
One build is a project. Multiple builds are a program. Programs need a dashboard.
Most engagements start with a single Build. The second and third follow once the first one is paying for itself. By Build 3 the question is no longer "is this working" — it's "is the whole AI program paying off, and can we prove it to the board?"
01
Cost & ROI
Every dollar of AI spend reconciled against the hours it returned. ROI multiplier on the front page. Not a slide we prep at QBR time — a number that updates monthly, automatically.
02
Adoption
Drill into any automation to see active users and run counts. The build nobody uses is the worst kind of build — adoption visibility is how we catch it early.
03
Risk register
Named risks, residual ratings, named owners, last review dates, controls. Maintained continuously — not assembled the week before the board paper. Ready for external assurance.
The structural reason.
Every major Australian MSP pitching AI has channel-partner-aligned answers baked into their margin model. Microsoft margin. AWS margin.
The trade-off we made
On AI Build engagements we don't take licence margin on the AI vendor — Claude, Copilot, GPT. Our Build margin comes from the engineering — the Sprint and the Build hours.