Most organisations we talk to have someone with a ChatGPT tab open. A few people using it every day. Nobody has talked about it. And almost everyone is still in the chatbox, typing, rephrasing, getting something that's almost right, spending twenty minutes fixing it, wondering why it feels like more work than it should.
The problem isn't the tool. It's that nobody has built anything with it yet.
We've been building websites for schools, NFPs, and service organisations for years. What you realise when you spend enough time inside how these organisations work is that the website is rarely the real problem. The problem is the ten hours a week someone spends planning communications, the grant report that gets rewritten three times for three different audiences, the inbox that's never quite under control.
Remedy builds the systems that handle that work. Not a workshop certificate. Not a policy document. A working AI system, connected to your tools, trained on your context, running the tasks that were eating hours every week.
The clearest way to explain what changes is through the person doing the work.
Content plan for the month drafted and briefed before the first staff meeting. Event listings written and scheduled. Photography briefs for the term generated from the school calendar. Enrolment enquiries responded to within the hour. Front desk calls and emails automatically collated into a weekly website improvement log. Parent newsletter outlined and ready for her words by Thursday morning.
She still writes, still decides. She just doesn't start from blank anymore.
Inbox triaged every morning, drafts waiting for review before 9am. Grant update reports produced three different ways: one for the board, one for the program team, one for the funding body, without starting again each time. Campaign content planned for the month with suggested posting times based on what performed last month.
They're not doing less. They're doing different work.
Morning brief with outstanding jobs, who's waiting, and what needs a decision today. Client update emails drafted from job notes before the principal gets to their desk. Supplier follow-ups written. Reporting generated from data that already exists in the system.
The focus goes on the actual work, not the admin around it.
The systems Remedy builds are purpose-built for the organisation using them. Custom workflows connected to the tools the team already uses: email, calendar, their website, their CRM. Outputs are delivered to a private dashboard the organisation owns and controls.
Under the hood, Remedy uses Claude as the AI layer, with Australian data sovereignty built into every build. Where workflows need automation across multiple tools, Make and Notion handle the connections. The system is configured to the organisation's specific context: its tone, its sector, its compliance obligations, its audience. A system built for a school's parent communications is configured very differently to one built for an NFP's grant reporting.
The organisation doesn't need a developer on call, a technical background, or any understanding of how it works. They need to know what they want from the output. Remedy handles everything else.
Every sector Remedy works with has specific obligations around how AI tools can be used. Schools have student data obligations under the Australian Framework for Generative AI in Schools and relevant state privacy legislation. NFPs have donor and client privacy requirements. Allied health practitioners have AHPRA guidance from 2024 that makes them personally responsible for any AI used in their practice.
Before any system is built, Remedy works through the governance requirements for the organisation's context. That means a policy that reflects how the organisation works, not a template downloaded from a government website. It means the team knows what the system can and can't do with sensitive information. And it means the organisation can demonstrate to a board, an auditor, or a regulator that they've approached AI responsibly.
Governance without a working system is just a document. A working system without governance is a liability. Remedy builds both together.
Remedy builds AI systems for schools, not-for-profits, healthcare-adjacent organisations, and service businesses in Perth and Western Australia. Organisations where a staff member is still spending hours on tasks that a well-built system could handle, and where that time has somewhere better to go.
Remedy's clients are not enterprise organisations with transformation budgets. They're a school marketing manager who needs the newsletter drafted before the week gets away from her. An NFP communications coordinator who rewrites the same grant report for three different audiences. A practice manager who spends her Friday afternoon on admin that shouldn't take Friday afternoon.
The work matters. The people doing it are stretched. A system that handles the repeatable load frees them to do the work that requires a human.
Every engagement starts with a discovery session, usually two hours with the person who will use the system most, plus whoever holds the budget. Remedy listens to what the work looks like before suggesting anything.
1–2 weeks
Remedy maps the workflows that take the most time, identifies where AI can reliably handle the load, and designs the system around what the team does, not what looks impressive in a demo. You get a clear picture of what will be built and why before anything starts.
2–4 weeks
The system is built, tested, and refined against real work. Not a prototype. Not a demo. A working system running the tasks it was designed for, connected to the tools your team already uses.
1 session before go-live
The team is trained before the system goes live. Sessions are recorded so future staff can get up to speed without starting from scratch. By the time you launch, your team already knows how to use it.
Continuous
AI tools change. Regulations evolve. Remedy stays involved, updating the system as tools improve and reviewing governance as requirements shift. The system gets better over time, not left behind.
For organisations that aren't ready to commit to a full build, Remedy runs custom training. Practical sessions where participants work with AI tools applied to their actual daily tasks, and see what a built system looks like in practice.
Most organisations that attend a training book a discovery conversation shortly after. The workshop is the moment where abstract AI possibility becomes a specific, concrete answer to a problem they already have.
ChatGPT is a general-purpose tool. What Remedy builds is purpose-built for the organisation's specific work: configured to its context, connected to its workflows, trained on its tone and requirements, and producing outputs that are ready to review rather than ready to heavily edit. The chatbox is useful. A built system is a different thing entirely.
No. The system is built so the person using it doesn't need to understand how it works, only what they want from it. Training is included in every engagement and sessions are recorded for future staff.
Yes. Trainings are available for organisations that want to understand what's possible before committing to a build. Most participants leave with a clear picture of what a system would look like for their specific work.
Every engagement is scoped to the organisation's specific situation before any cost is discussed. The discovery session is where Remedy understands the work and gives an honest picture of what a build involves. Get in touch and we'll arrange a conversation.
Sometimes directly, sometimes not at all. Where it makes sense, Remedy builds AI workflows that integrate with your website — enquiry handling, content automation, chatbot responses, or website improvement logs generated from customer contact patterns. Other clients come purely for AI systems with no web work involved. The two services are separate but built on the same understanding of how these organisations work.
No. AI systems work is completely independent of web design. If your website was built by someone else and you want AI systems built for your team, that's a straightforward engagement. The only thing Remedy needs is an understanding of your organisation and your workflows, not access to your website.
The right fit
Not the right fit
If you want to understand what a working AI system would look like for your organisation, the first step is a conversation. No pitch, no demo until we understand the work.
And if your website is already doing the right things but your team is still buried in admin, that's exactly the problem these systems are built for.