AI Agents for Australian businesses · Built in Victoria
AI agents that do real work.
On infrastructure
you control.
Built into the tools your team already uses, and measured against a baseline we agree first.
pilots, fixed scope
One workflow, an agreed baseline, a decision at the end.
What the pilot includesAustralian
hosting available
Your environment or ours, in Australia, decided during design.
How it is securedFounder-led
delivery, every engagement
Liam or Nick on the call, and on the build behind it.
What supervised actually means
The agent prepares the work. A person releases it.
One conveyancing referral, from the moment it arrives to the line it leaves in the audit log.
A referral email lands in the shared inbox.
Contract and section 32 attached, 60 day settlement, two documents not supplied. Nobody has read it yet.
It reads, checks, drafts the reply, and holds it.
Six fields extracted with their sources, a conflict check run, both missing items identified with a plan for each. Nothing sent.
Waits for a person
You approve, and only then does anything leave.
Matter opened, reply sent, follow-up scheduled. Every action logged against the approval that let it run.
What we have delivered
Two results, and the working behind both.
Both come from legal and conveyancing work, measured against a metric the firm was already tracking before we started. That is the domain we built and run MatterFirst in, which is how we knew what was worth measuring. The clients are anonymous. The method is not.
Conveyancing
faster intake to instruction
Referrals routed automatically, every stakeholder given a live view, milestone updates sent without anyone triggering them.
Measured against the operating KPI the firm already tracked
Legal
per contract reviewed
A private agent reads each land sale agreement, extracts the clauses, flags the risks and pre-fills the review template. The reviewer validates instead of building.
Measured through the team's existing time tracking
The first paid step
The first paid step is designed, not negotiated.
Six weeks, one workflow, a fixed price, and a recommendation at the end that can be to stop. You can read the whole scope, including what it deliberately excludes, before you speak to anyone.
- One workflow, chosen together in the scoping call and named in the scope document.
- A baseline agreed in writing in week one, before anything is built.
- A supervised run on live work, with the approval gates your team controls.
- A measurement report, a written deploy or stop recommendation, and the code handed over either way.
How we help
Start where the work already is.
Deploy an agent if you already know which workflow. Pilot one first if you want the number before the commitment.
AI agent deployment
We scope one role, connect an agent to the tools your team already uses, and run it with guardrails, approvals and monitoring around it.
- Connectors into your daily tools
- Autonomous or human-approved, per task
- Live monitoring, audit trail and reporting
Outcome
An agent doing real work within weeks, measured against a baseline
Fixed-scope pilot
Not sure where an agent pays best? We find the highest-return work in your business, then prove it on one workflow before any bigger commitment.
- Free 30-minute call with a founder
- Fixed scope, from $5,000
- A keep-or-kill decision, backed by your numbers
Outcome
Proof in your own numbers before you commit further
Workflow and document automation
Where we come from: workflow, document and matter automation for document-heavy and compliance-sensitive teams. It is still core work, and the agents sit on top of it.
- Deep legal and matter-based expertise
- Document, intake and billing workflows
- Private and onshore deployment options
Outcome
Specialist delivery for document-heavy operations
How an agent joins the team
From scoping call to measured return.
No rip-and-replace. The agent plugs into the tools you already run, starts supervised, and earns autonomy as its accuracy is proven.
Pick the work
A free scoping call with Liam or Nick. We find the tasks with the clearest return: repetitive, rules-plus-judgement work an agent can carry from day one.
30 minutes
A shortlist of agent opportunities with expected returns
Wire it in
We connect the agent to your tools (inbox, documents, CRM, ticketing, practice systems) and set the guardrails: what it may do alone, what waits for sign-off.
Days, not months
An agent embedded in your stack, approvals configured
Run it supervised
The agent starts human-in-the-loop. Your team approves its work from a queue until proven accuracy earns more autonomy. Every action is logged.
First weeks
Monitoring dashboard, audit trail, human escalation
Measure the return
Hours saved, turnaround and cost per task, reported against the baseline we agreed. Keep it, expand it, or switch it off. The numbers decide.
Ongoing
An ROI report you can hold us to
Private by design
The part most AI vendors cannot offer you.
The first question a document-heavy business asks is not what the agent can do. It is where the data goes. Because we build and run the infrastructure ourselves, that is a decision you make rather than a limitation you accept.
We own the stack underneath
Much of what is sold as AI implementation is a thin layer over somebody else's API. We build and run the infrastructure, so private and self-hosted deployment is a configuration choice rather than a special request.
Australian hosting, if you need it
Hosting region is decided during solution design, not assumed afterwards. Australian hosting is available across the deployment options, including running inside your own tenancy or on your own hardware.
Your boundary, set by you
The agent reaches only the systems you connect, with the permissions you grant. Which models it uses, what is retained and what it may do alone are all configured with you, and written into the engagement.
Where we work
Six sectors, and what an agent does in each.
The workflow varies, the method does not. Each page names the concrete workflows, where the human gate sits, and the obligations the sector already carries that a deployment has to respect.
Legal teams
Matter intake, contract review and the chasing in between, inside the supervision obligations the work already carries.
See the workflowsDocument heavy teams
Reading, extracting and checking at volume, so the reviewer validates a filled template instead of building one.
See the workflowsMelbourne businesses
An implementation partner who can sit in the room, across Melbourne and south-west Victoria.
See the workflowsProfessional services
Client onboarding, engagement letters and the administrative tail that sits behind billable work.
See the workflowsCustomer support
Triage on arrival and replies drafted from your own documented answers, with a person releasing every one.
See the workflowsFinance teams
Invoice coding, purchase order matching and reconciliation, with approval and segregation of duties left intact.
See the workflowsWhat this work is worth
Three jobs we build agents for.
These are published results from other organisations, not ours. Each is a job we can build an agent to do. What it would be worth in your business still has to come from your own baseline.
Answering customers
76% resolved without a human
Fin publishes an average 76% resolution rate across more than 12,000 customers, and handles around 2 million resolutions a week. Klarna's assistant carries the workload of 700 people and cut resolution from 11 minutes to under 2.
Fin by Intercom, vendor published · Klarna/OpenAI, 2024
Processing the paperwork
$13 to $3 per invoice
Agents cut invoice processing costs by roughly three quarters and cycle times by up to 80%. Finance leaders rank accounts payable the most practical place to start, because the volume is high and the rules are clear.
Basware / FT Longitude, 2025
Reading the documents
40 hours to minutes
Moody's cut credit memo preparation from 40 hours to minutes. In-house lawyers using AI report 14 hours back every week and 14% less outside-counsel spend. Volume reading is where agents are strongest.
Anthropic, 2025 · GC AI, 2025
Supervised agents win
Gartner expects over 40% of agentic AI projects to be cancelled by 2027, mostly for weak risk controls and unclear value. Ours ship with approvals, monitoring and a baseline: exactly what the failures lacked.
Why the harness matters
Autonomy is earned
Even Klarna, the poster child of AI support, brought humans back for the judgement calls. Agents take the volume; your people keep the decisions that matter.
Human-in-the-loop by default
No invented proof
Our client numbers come from metrics the business already tracked. Market numbers are cited and kept separate from our own. If we cannot show the working, we do not publish the number.
How we communicate
Founder-led delivery
The people who scope it stay on it.
Whoever agrees the baseline with you is the same person in the architecture and the build. Australian, Melbourne based, working with businesses Australia-wide.
Liam
Co-founder & Technical Director
Melbourne, Australia
Full-stack engineer with deep experience in Elixir, agentic AI systems, and secure infrastructure. Leads technical delivery and architecture across all client engagements.
Nick
Co-founder & Operations Director
Victoria, Australia
Aerospace Engineer with a background in mission critical software systems and complex systems integration. Drives program management, operational strategy, and client delivery.
Bring us the workflow that is costing you the most.
Thirty minutes with Liam or Nick, no pitch deck, no obligation. We will find the work with the clearest return in your business, and tell you honestly if there isn't one yet.
Or read something first
Free 30-minute call · Pilots from $5,000 · Australian owned & operated
Common questions
Everything you'd want to ask first.
What exactly is an AI agent?
An AI model with a proper harness around it: connectors into the tools you already use (inbox, documents, CRM, ticketing, practice systems), guardrails for what it may do alone, an approval queue for what it may not, and monitoring so you can see every action it took and why. It works a defined role such as triaging, chasing, drafting or reconciling, not a chat window someone has to remember to use.
What does it cost?
The scoping call is free. Fixed-scope pilots start from $5,000, and deployment and ongoing partnership are shaped with you, because a five-person conveyancing firm and a two-hundred-person operations team should not pay the same. Every engagement starts with a written proposal before any commitment.
Autonomous or human-in-the-loop?
Both, per task. New agents start supervised: they prepare the work and your team approves it in seconds from a queue. As accuracy is proven, you grant autonomy task by task, and high-stakes actions can stay approval-gated permanently.
How do you keep our data private?
Where an agent runs, which models it uses, what it can reach, what is retained and for how long are all configurable, and they are configured with you during solution design rather than assumed. Agents can run on infrastructure we own and operate, in your own cloud tenancy, or on your own hardware, with Australian hosting available across those options. The security page sets out each decision.
What kind of return should we expect?
We will not quote you an industry average as though it were your number. We agree a baseline before deployment, measure the same way afterwards, and report against it. Our published client results were measured that way: intake to instruction cut 45%, and contract review reduced from one to two hours to about ten minutes.
What happens when the agent gets something wrong?
Guardrailed actions cannot leave the boundary you set, everything is logged, and anything unusual escalates to a human. That discipline is the difference between the agent programs that scale and the 40% Gartner expects to be cancelled by 2027.
Where are you based?
We are Australian owned and operated, based in Melbourne, and we work with businesses Australia-wide. For Victorian clients we are happy to meet in person, which matters more than it sounds when you are deciding what an agent should be allowed to do inside your business.
Are you still workflow and legal specialists?
Yes. Workflow and document automation for legal, conveyancing and matter-based teams is where we built our discipline, and it remains core work. AI agents are the layer we now build on top of it, and the same rigour applies to both.
What is MatterFirst?
MatterFirst is NorthCape's product for smaller Australian legal firms. It brings matters, intake, documents, clients and billing workflows into one product with published plans and pricing. If you are a smaller firm looking for a practice system rather than custom agent work, it is probably the better fit and we will tell you so.
Have another question? Get in touch
Smaller legal firm?
Live nowMatterFirst may be the better fit.
MatterFirst is our product for Australian legal firms with around 6 to 50 staff: matters, intake, documents, clients and billing workflows in one place, with published plans and pricing. If that is closer to what you need than custom agent work, we would rather point you there.