AI automation, agents and workflow orchestration · Australia
Put routine work on rails. Keep judgement with your people.
OrqAIstra orchestrates AI agents and enterprise workflows to scale your human potential. We build the AI your organisation runs on, then run and improve it with you month after month. Where data cannot leave your environment, it never does.
Orchestrating intelligence to scale human potential.
Why AI has not stuck in your organisation yet?
Every organisation is being told to do something with AI. Small businesses drown in tools that never quite fit how they work. Enterprises and government agencies get stuck at the security review, because most AI products assume your data can live in someone else's cloud.
Three doors, one dead end
Too many tools, no plan
Small teams do not have spare weeks to trial AI products. Someone needs to pick the two automations that pay for themselves and build them.
Security says no
For regulated organisations, public model APIs fail the data classification test before the use case is even discussed.
Pilots never reach production
Demos are easy. Workflows that run every day, with owners, error handling and evaluation, are the actual job.
Either way
Either way, the result is the same: stalled pilots, and nothing that actually runs every day.
Plans that keep working, not one-off projects
Start with a free briefing, then move onto a plan that builds your AI and keeps it running and improving every month. Launch offer: implementation is free on a 12-month Essentials or Operations plan. Sovereign engagements get a launch discount. Plans cover implementation, management and optimisation. AI model usage, licences and any third-party tools a workflow needs are billed separately, at cost plus a small handling fee. All prices are in Australian dollars and exclude GST.
AI options briefing
15 minutes, phone · No charge
The front door. Fifteen minutes on what AI can realistically do for an organisation like yours, what it costs, and which plan fits, if any. One free call per business, no preparation needed.
A call, plus up to 3 hours onsite · $1,500, credited to your plan
For organisations weighing up AI before committing to a plan. We map your highest-value workflow end to end, put a real number on what it is worth, and hand you an implementation path with a timeframe attached, not a vague recommendation. The full fee is credited to your implementation if you start a plan within 10 calendar days.
A call, plus up to 3 hours onsite where it helps, to map your highest-value workflow
A projected return: how much capacity it frees up, in hours or dollars, whichever the workflow actually moves
An implementation path with a realistic timeframe attached
Fee credited in full if you subscribe within 10 calendar days
From $750 / month · Implementation from $4,500, free on a 12-month plan
For small business. We build two to three automations on the tools you already pay for, then keep them running and improving every month, so the work stays done instead of drifting back to manual. Each automation is chosen and measured against one test: does it scale what your team can get through in a week.
A few things we might build first: Drafting first-pass replies to routine customer enquiries; Chasing overdue invoices and reconciling them in Xero; Turning your weekly numbers into a report someone actually reads.
Two to three automations built on tools you already pay for (Microsoft 365, Xero, your CRM)
Monitoring, fixes and support included
One new automation or enhancement each quarter, scoped to fit the plan
Month to month, or 12 months with implementation free
From $2,500 / month · Implementation from $12,000, free on a 12-month plan
For growing and mid-sized organisations. A managed AI capability: a readiness review and a first production workflow, then continuous orchestration, new workflows and governance you can report on. Every workflow is measured against the same yardstick: how much more your team gets through without adding headcount.
A few things we might build first: Triaging incoming orders or claims and routing the exceptions to a person; Checking new suppliers or vendors against your risk criteria automatically; Reconciling data across two systems that were never meant to talk to each other.
Readiness review and a first production workflow
Managed orchestration and monthly optimisation
A new workflow each quarter
Governance, reporting and security posture reviews
From $6,000 / month · Implementation from $45,000, launch discount available
For government and regulated organisations. One production workflow built inside your own environment, then run and extended by a fractional AI architect, with everything aligned to your security review.
A few things we might build first: Triaging and classifying case files inside your own environment; Drafting first-pass responses to policy or compliance questions, reviewed by your team before anything goes out; A secure internal assistant for staff that never sends a document outside your tenancy.
Production workflow in your own tenancy
Fractional AI architect and fully managed run
Security documentation and governance included
A roadmap of new workflows, with the runbooks for your team to operate them
Add-on to any plan, or standalone · From $5,000 / month
Architecture authority without a full-time hire. Layer a fractional AI architect onto any plan, or engage one on its own, for governance, model lifecycle and a steady pipeline of new workflows. It is built into the Sovereign plan, and available to the others. A full-time AI leader costs several times more; this gives you the same authority at a fraction of it.
Most operational drag looks like one of the patterns below. You do not need to know which AI technique applies, and you should not have to. Bring the process and we will tell you which of these it is, or that it is none of them and does not need AI at all.
Work that arrives and has to be sorted
Enquiries, orders, claims, applications, tickets, referrals. Anything that lands in a queue and waits for a person to read it, categorise it and decide where it goes.
Read what arrives, classify it, and route it to the right team with the context already attached
Draft a first-pass reply for a person to approve, so the work starts at review rather than at a blank page
Flag the ones that are urgent, unusual or a complaint, and leave the routine ones to flow through
Documents somebody has to read
Contracts, invoices, forms, reports, case files, policy documents. The work is not writing anything, it is extracting what matters and checking it against a rule.
Pull the fields you actually need out of documents that arrive in twelve different formats
Check a document against your own policy or criteria and surface only what fails
Summarise a long file into the two paragraphs the next person needs, with the source passages attached
Questions your team keeps re-answering
The knowledge exists. It is in a policy document, a past case, someone's inbox, or a system nobody outside one team knows how to query.
An internal assistant that answers from your own documents and shows you where each answer came from
Answers that respect who is allowed to see what, so a person only ever gets what their access already permits
Where the data cannot leave your environment, the whole thing runs inside it and nothing goes to a public service
Data living in two systems that were never meant to talk
The reconciliation, the re-keying, the export to a spreadsheet and back. Usually the least glamorous work in the organisation and often the most expensive.
Match records across systems and surface only the ones that disagree
Move the work between systems automatically instead of a person keying it twice
Turn what is in those systems into the weekly numbers, without anyone rebuilding a spreadsheet
Checks that happen because a rule says so
Onboarding a supplier, verifying a claim, screening an application, confirming something is compliant before it proceeds. Repetitive, rule-driven, and painful when it is missed.
Run new suppliers, vendors or customers against your risk criteria as they arrive
Assemble the evidence a review needs so the reviewer decides instead of hunting
Keep a full record of what was checked, what was decided and who approved it
Processes that need judgement partway through
Where full automation would be reckless but full manual is wasteful. Most of the valuable work sits here, and it is the pattern we spend the most time on.
Agents that plan and act across your systems, stopping at the point where a person should decide
Approval steps placed where being wrong actually costs something, not sprinkled everywhere
A complete trace of every run: what triggered it, what it saw, what it decided and who signed it off
The steps nobody else does the way you do
Every organisation has them: the extra check, the person who always gets copied in, the record that has to be updated because of something that happened in 2019. This is usually where packaged software stops fitting.
Add a step anywhere in a workflow without rebuilding the rest of it
Your own wording, your own thresholds, your own escalation path, not a vendor's defaults
Change it when the process changes, as part of the plan rather than as a new project
What every one of them looks like underneath
Different problems, same shape. Work arrives, the workflow understands it and gathers
what it needs, then either acts or stops for a person. The dashed line is the part that
matters most to regulated buyers: the understanding and the deciding happen inside your
environment, not somebody else's.
scroll sideways to follow the whole path →
The same shape underneath every workflow we build. When something needs judgement it is
held safely, the approver is told, and it is acted on exactly once. Whatever happens, the
right people are notified the way that suits them, and every step is logged.
What that looks like for a small business
Take the shared inbox that everything arrives in. One workflow reads what comes in,
works out what each one actually is, and handles the five cases differently. This is a
typical first build on the Essentials plan. It is also not the finished article, and it
is not meant to be: the steps shown are a starting point, and yours will differ.
scroll sideways to see all five cases →
Look at the complaint row. It acknowledges straight away from your own wording, because
every organisation owes somebody that, then it stops and puts a person in the loop. It
does not attempt an answer. The dashed steps are the other half of the point: steps go in
wherever your process needs one, without rebuilding the workflow around them. And where a
step waits for you to approve, it does not wait in silence: while something sits with you,
we message you on your dashboard, phone or email, so nothing stalls just because it was not
seen.
The same discipline underneath all of it
Steps go in wherever your process needs one, and come out again when it changes, without rebuilding the workflow around them
Where your data is allowed to live decides how each step is built, and that is settled before anything is written
Private AI models inside your environment wherever your data cannot reach a public service
Human approval designed into the workflow at the points where being wrong is expensive
Every run traced and auditable, with the record kept in your own systems
Quality measured continuously against a set of real cases, not assumed from a demo
Workflows that run in your own environment, or can be moved to it, with the runbooks your team needs to operate them
It starts with one, and it compounds
Nobody should begin by automating their whole operation. You begin with one process, prove it on your actual work, then keep going. What makes it worth doing is that the second workflow costs less than the first, and the tenth costs less again.
01
One process, running
The inbox, or whatever costs you most. Live in weeks, on your real work, so you find out whether this pays before committing to anything bigger.
02
The next two, cheaper
The connections to your systems, the approval steps, the monitoring and the audit trail already exist. The next workflow reuses all of it and only pays for what is genuinely new.
03
An operation that runs
Enough of the routine work handled that growth stops meaning another hire. Your team spends its time on the work that actually needs a person.
scroll sideways to see all three stages →
The dark bar is why this gets cheaper rather than more expensive. Most of the cost of the
first workflow is the foundation underneath it, and you only pay to build that once.
Where the money actually comes from
Cost stops tracking headcount
A workflow costs the same whether five people or fifty rely on it. Grow, and the cost of doing the work does not grow with you.
Each one is cheaper than the last
The integrations, guardrails and monitoring are built once and shared. Most of the cost of the first workflow is not repeated.
Capacity moves to work that earns
Nobody is freed up to do nothing. The hours come back and go into the work only your people can do, which is where the margin is.
Mistakes get caught before they cost
The review step exists precisely for this. Catching a wrong invoice or a missed complaint is worth more than the time saved processing it.
What we will not do is quote you an industry average return. Every one of these depends on your volumes and your margins, so we work the number out with you on the strategy session, using your figures, before you commit to a plan.
How we build
Four movements, every time: audit, architect, build, run. We already know the platforms and the models, so what changes from client to client is your data and your constraints, not our approach. Private models where the data cannot leave your environment. Commercial models where it can. Either way, the workflow ends up somewhere you control. Essentials and Operations clients usually see a first workflow live within six to eight weeks of the audit. Sovereign timelines follow your security review, not a marketing deadline.
scroll sideways to see the whole loop →
Run does not exit to "finished". It flows back into Architect, which is why the
subscription is continuous improvement rather than lock-in: on a month-to-month
plan you own everything built and can leave at any time.
01
Audit
Two weeks to map use cases, data classification and security posture. Ends with a roadmap, not a sales pitch.
02
Architect
About a week to turn the audit into a reference architecture for your tenancy: model hosting, orchestration, integration points, guardrails and evaluation.
03
Build
Your first workflow live in four to six weeks on Essentials and Operations, longer where a security review sets the pace on Sovereign. One workflow at a time, shipped to production with CI/CD, tests and an evaluation harness, not a big bang program.
04
Run
Your team runs it from the runbooks we leave behind. We stay on as fractional architect if you want the momentum to keep going, and step back if you do not.
Where your data lives decides everything
For government and regulated organisations, every engagement starts from where your data is allowed to live and works backwards. That constraint drives the model choice, the hosting and the integration pattern. Small businesses get the same discipline at their scale: your customer data stays in your systems, and you get a straight answer on which AI tools are safe to use.
All processing inside your own environment, hosted in Australia
Private AI models where your data is not allowed to reach public services
Architecture and controls aligned to Australian government and financial-sector security standards
Built on government-accredited cloud services where accreditation matters
Delivery documentation written for your security review, not around it
Workflows that keep running whether or not you stay with us, with the runbooks to operate them
Who you are working with
OrqAIstra is led by a group of C-level executives whose backgrounds sit in different disciplines: strategy and executive management, finance, technology, and information security. Over their careers, they have worked in and delivered to large-scale enterprise systems and digital platforms globally, for Fortune 500 companies and government organisations.
That mix is deliberate. An AI problem is rarely only a technical problem. It arrives attached to a budget, a risk register, a regulator and somebody's operating model, and those are questions the people leading your engagement have already owned somewhere else. So you get an answer that covers the build, the business case and the governance question behind it, rather than one of the three and a referral for the rest.
Why OrqAIstra?
01
Senior only, no graduate account team
You deal directly with the C-level executives who lead the practice, including the one whose domain your problem touches. Nobody on your account is learning the job on your invoice.
02
Australian data, by default
Hosted in Australia, on infrastructure aligned to Australian government and financial sector security standards from the first conversation. For regulated buyers that is not an add-on quoted separately. It is the starting point.
03
Priced for what a small business actually spends
Published prices, not a quote you have to chase down. Essentials starts where a five-person firm's budget sits, and there is no minimum deal size before someone senior will look at your problem.
04
The workflow is yours, not ours
Wherever the plan allows it, your workflows run inside your own environment. Anything running on our infrastructure can be moved across to yours, and your team gets the runbooks and the training to operate it from there. Leave whenever you like on a month to month plan. The subscription pays us to keep improving your AI, not to keep hold of it.
05
C-level experience, not just engineering hours
The group leading OrqAIstra carried C-level responsibility in their previous roles, across strategy, finance, security and technology, on enterprise systems deployed globally for Fortune 500 companies and government organisations. When something needs a board-level answer instead of a technical one, that is already covered.
Questions security and technology teams ask
Can you build AI workflows if our data cannot leave our environment?
Yes. This is the OrqAIstra specialty, and it is what the Sovereign plan is built for. We run private AI models inside your own environment, so your documents, prompts and data never touch a public AI service.
We are a small business, not a bank. Is OrqAIstra for us?
Yes. Start with the free briefing, then the Essentials plan from $750 a month builds two to three automations on the tools you already pay for and keeps them running for you. It needs no security team, just processes that eat more of your week than they should. Month to month, or 12 months with the implementation free.
Do you build AI agents and agentic workflows?
Yes. Orchestration is the OrqAIstra core: AI agents that plan and act across your systems, and automated workflows with guardrails, human approval steps and evaluation built in. We use agents where judgement is needed and plain automation where it is not, so every step stays predictable and auditable. An accuracy number on its own does not mean much. What makes it trustworthy is the review step that catches what it gets wrong before that reaches a customer or a case file, and building that review step in is the actual point of orchestrating a workflow rather than just calling a model and hoping.
We already have Microsoft 365 Copilot. Do we need this too?
They do different jobs. Copilot makes each person faster inside the apps they are already in. We build the workflows that run the process itself, across every system, including the ones no AI product reaches, and where your data cannot leave your environment. Most organisations end up with both. There is a side-by-side comparison here if you want the detail.
Why a subscription instead of a one-off project?
Because a workflow that is built once and left alone drifts: models change, your processes change, and edge cases surface in month three that no demo would show. The plan pays for us to run it, watch it, fix it and keep adding to it, so the AI stays useful instead of becoming another stalled pilot.
What exactly does the monthly subscription cover?
Monitoring, fixes and support for everything we have already built you. A fix means something that used to work and now does not: a broken integration, a model that started behaving oddly, a step that silently stopped running. That is on us, at no extra charge, with a response the same business day during Australian hours. A new capability, or a real change to what an automation does, is new work: it either comes out of your quarterly addition or gets scoped and quoted before we touch it. Every automation is written down when we build it, so which side of that line something falls on is rarely a debate.
Are AI model and tool costs included in the plan?
No, and that is deliberate. Plans cover implementation, management and optimisation. AI model usage, licences and any third-party tools a workflow needs are billed separately, at cost plus a small handling fee. You only pay for what you actually use, and nothing variable is hidden inside a flat fee. Where it suits you, we set these services up in your own accounts so you hold them directly.
How does the free implementation offer work?
Launch offer: implementation is free on a 12-month Essentials or Operations plan. Sovereign engagements get a launch discount. On a 12-month Essentials or Operations plan we waive the implementation fee, so you start with just the monthly subscription. Prefer no commitment? Pay the implementation fee and run month to month. 12-month term when the implementation fee is waived, otherwise month to month. Annual prepay saves two months.
Do we end up locked in to OrqAIstra?
No, and it is worth being precise about why. Where a workflow runs inside your own environment, it simply keeps running whether or not you stay with us. Where it runs on our infrastructure, you can move it across to your own and your team maintains it from there. Either way you have the runbooks and the training to operate what we have built. On a month to month plan you can leave at any time, and the 12-month term applies only when we have waived the implementation fee. The subscription pays for us to run and improve your AI, not to keep custody of it.
Which AI platforms and models do you use?
Whatever fits your environment and your data rules. Where policy permits, we use leading commercial AI services hosted in Australia. Where it does not, we run a private model dedicated to you: either inside your own environment, or on infrastructure stood up for you and nobody else. That option needs its own server capacity, which is a genuine cost and is quoted separately rather than folded into the plan, so you see it before you commit to anything. Either way the architecture keeps models swappable, so you are never tied to a single vendor.
How do you handle security accreditation and compliance?
Architectures are aligned to the Australian government and financial-sector security standards that apply to your organisation, built on accredited cloud services where accreditation matters, and every deliverable includes documentation written for your security review. We design for the review from day one rather than retrofitting.
What does it cost?
Full pricing for every plan, from the free briefing through to Sovereign, sits in the plans above rather than repeated here. Worth a look before you book a call: everything is published, nothing is quote-only.
Start with a call
Bring one process that eats your time, or one use case and your data constraints. Whether you run a five-person firm or a federal agency, you will leave with a straight answer on whether it is buildable and roughly what it would take.