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Azure, Microsoft 365 and AWS, with an AI focus

AI projects, designed, built and run on Azure and AWS.

AI can accelerate almost any business. If you have pain points, we are all ears. Tell us where the work piles up, and we will work out what AI can take on, build it in your own cloud accounts, and keep it running. We are a small team that moves fast and gets things done at a reasonable price.

Listen
Your pain points, mapped to what AI can do
Build
On Azure or AWS, in your own accounts
Run
Monitored, supported, governed
Private
On-premises option for sensitive data
How an AI project runs
From use case to production
  1. 01ListenYour pain points and where the work piles up, in your words
  2. 02ProveA working proof of concept on your own data
  3. 03BuildProduction build with identity, security and monitoring
  4. 04RunOperated, tuned and governed after go-live

Azure AI development, from use case to production

Start with your problem, not the technology. We design, build and operate AI workloads on Azure OpenAI and Azure AI Foundry, deployed into your own Azure subscription with Entra ID, network controls and monitoring. Cost governance is part of the build, so spend stays predictable and the architecture stays cost-effective.

Production build on Azure

Assistants, agents and retrieval over your documents, built on Azure OpenAI and Azure AI Foundry, with your data staying inside your tenancy.

Run, govern and control cost

Monitoring, evaluation and Azure cost management after go-live: budgets, alerts and right-sized resources, so the Azure invoice matches the plan.

Building on AWS too. The same delivery on AWS, built in your own accounts and operated by us. Existing Alibaba Cloud workloads are supported as well.
Your tenancy, your data. Everything is built in subscriptions you own, so the models, prompts and data never leave your control.

AI agents and automation on your own data

Most useful AI work is not a chatbot. It is an agent that reads, checks and acts on the documents and systems your firm already runs on, with a person in the loop where it matters.

Agents for internal workflows

Agentic workflows that pick up routine work across your systems: triage, lookups, drafting and follow-ups, with every action logged.

Document processing

Document automation for the paperwork that eats your week: extraction, classification, checks against your rules, and handover to whoever signs it off.

Assistants grounded in your data

Retrieval over your own content so answers cite the source document, with permissions respected so people only see what they should.

Private and on-premises AI for regulated data

When data cannot leave your premises, the AI comes to the data. We design and run local inference clusters on open-source models, then build the same agentic workloads on top.

Cluster design and sizing

Hardware sizing, deployment and operations for self-hosted inference, matched to the workloads you actually plan to run.

Open-source models, tuned

Local LLMs selected and tuned for your tasks, evaluated against the same measures we would use for a cloud build.

Data stays on your network

Suited to sensitive and regulated information, client confidentiality obligations and anything that cannot be sent to a public service.

AI readiness, governance and Microsoft 365 Copilot

Before AI touches your business data, the permissions and governance underneath it have to be right. This is where most stalled projects come unstuck.

  • ✓AI readiness review. Where your data sits, who can reach it, and which use cases are safe to start with.
  • ✓Data governance. Permissions, sensitivity labels and retention sorted with Microsoft Purview before rollout.
  • ✓Microsoft 365 Copilot readiness. Licensing and oversharing fixed first, so Copilot surfaces the right information to the right people.
  • ✓Usage and adoption. Measuring what people actually use, and retiring what they do not.
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Where AI projects usually stall
  • ✓A demo that impresses, with no route to production
  • ✓Files shared far wider than anyone realised
  • ✓No measure of whether answers are right
  • ✓Costs that arrive as a surprise on the invoice
  • ✓Nobody named to run it after launch
We work through these in the discovery stage, before the build starts.

Azure, Microsoft 365 licensing and AWS, managed

We are a reseller and managed service provider: we supply Azure, Microsoft 365 licences and AWS, and run them day to day. A small, senior team that moves fast, keeps environments tidy and keeps cloud spend cost-effective.

AWS cost optimisation

Right-sized instances, storage lifecycle, commitment planning and a Well-Architected review, so your AWS spend goes further without trading away reliability.

Microsoft 365 and Azure licensing

Business Premium, E3 or E5 supplied and right-sized as a Microsoft Cloud Solution Provider, with renewals reviewed before they roll over and seat changes handled the same day.

Correct from day one

Your tenant configured to Microsoft's security baseline, identities and devices under control, and licences matched to what people actually use. Business Premium, E3 or E5, right-sized and reviewed before renewal.

Security you already paid for, switched on

Microsoft Defender, Intune, Entra ID and Purview are already in your licences. We turn them on and tune them: MFA everywhere, conditional access, device compliance and Essential Eight alignment, so you stay audit-ready when auditors, cyber insurers and clients ask.

Accountable service, not a ticket queue

New starters, leavers, licence changes, renewals and questions handled the same day by people who already know your setup. A managed service, not a helpdesk queue.

Why buy your cloud through a Microsoft CSP partner and AWS reseller?

Microsoft sells its subscriptions directly and through Cloud Solution Provider (CSP) partners. AWS sells directly and through resellers. Buying through Harbour Cloud puts one Australian team between you and both platforms: licences supplied, accounts and environments managed, projects delivered.

Buying directThrough Harbour Cloud
AI and cloud projectsYour team, or a separate consultantDesigned, built and run by us
AWS accounts and billingSeparate accounts, separate invoicesConsolidated, with one Australian invoice
Who runs your tenant and accountsYou doHarbour Cloud, as a managed service
Security baselineUp to youApplied and kept tuned
Starters, leavers and licence changesSelf-service portalHandled the same day
Renewals and cloud spendUp to you to trackReviewed, right-sized and kept cost-effective

Moving across is an administrative change, not a rebuild. Taking over AWS accounts moves billing and management while your workloads stay exactly where they are, and Microsoft 365 needs no tenant migration.

AI for financial services and regulated firms

Australian firms that run on Microsoft 365, hold sensitive client information, and want AI adopted carefully rather than loudly. Many work in regulated, security-conscious sectors where an AI mistake is a compliance problem, not just an embarrassment.

Financial services Trading and brokerage Fintech Professional services Other regulated sectors

Not sure where AI fits, or whether it fits at all? That is a normal place to start. Tell us what slows your people down, and we will tell you honestly what is worth building and what is not.

Harbour Cloud, Microsoft CSP partner in Sydney

Harbour Cloud is an Australian reseller and managed service provider based in Sydney. We supply and manage Azure, Microsoft 365 licensing and AWS as a Microsoft Cloud Solution Provider, and we build AI projects on top of them.

We are a small, senior team, which is the point: we move fast, get things done at a reasonable price, and you deal directly with the people doing the work. Our clients include financial services and trading firms, where security, compliance and uptime are not optional.

Australian company, Sydney based
Senior, hands-on Azure, AWS and Microsoft 365 expertise
Small team, fast turnaround, reasonable price
Financial services and trading clients
Australian time zone

Our Office

In Sydney's financial district and available for in-person meetings.

Three International Towers
Level 24, 300 Barangaroo Avenue
Barangaroo NSW 2000
Australia

Questions we get asked

The practical ones, answered plainly. If yours is not here, ask us.

Can you take over our existing AWS accounts?

Yes. It is an administrative change, not a rebuild. Billing moves under AWS Organizations and management moves to us, while your workloads, data and architecture stay exactly where they are. No downtime, nothing to re-deploy.

What changes if we buy Microsoft licences through you?

We become the Cloud Solution Provider on your subscriptions, so licences, renewals and seat changes come through one Australian team. Your tenant, data and users stay where they are, and we take on administration and the security baseline.

Do we need to migrate our Microsoft 365 tenant?

No. Moving to Harbour Cloud transfers billing and administration only. Nothing is rebuilt, no mailboxes move, and your people notice nothing on the day it happens.

Which Microsoft 365 plan do we need, Business Premium, E3 or E5?

It depends on how your people actually work. Business Premium already includes Defender, Intune, Entra ID and Purview for most smaller firms, while E3 and E5 suit larger tenants and stricter compliance obligations. We review what you own against what you use, then right-size it before renewal.

How do you keep Azure and AWS costs under control?

Cost governance is part of the build rather than an afterthought: budgets, alerts, tagging, right-sized resources and commitment planning, plus a Well-Architected review on AWS. You can see where the spend goes and why.

Are we ready for Microsoft 365 Copilot?

Copilot surfaces whatever a person can already reach, so oversharing and stale permissions are the usual blockers. We run a readiness review across permissions, sensitivity labels and licensing first, then switch it on.

Can AI run on our own infrastructure instead of a public cloud?

Yes. For data that cannot leave your premises we design and run private, on-premises inference clusters on open-source models, then build the same agentic workloads on top. Everything stays on your network.

How quickly can you start?

Quickly. We are a small senior team, so discovery usually starts within days, and a proof of concept on your own data follows in weeks rather than quarters.

Talk to an AI and Azure expert

Tell us about the work that piles up, the pain points your people complain about, or the AI idea you are weighing up. We are all ears. You will hear back from a senior specialist, not a sales team, usually within one business day.

Helpful to include

  • ✓Your name and company
  • ✓Staff count
  • ✓Your current Microsoft setup, for example Business Premium, E3 or E5
  • ✓What's on your mind, or the problem you would like AI to take on

Or write directly to [email protected]