A clever notepad
You ask a question. It gives an answer. Then you still find the files, open the apps, remember the process and do the work.
Local AI agent setup for owner-led businesses
We set up a small local AgentBox, usually a Mac mini, teach it your business, connect the approved tools, and give it a safe way to help with real work.
You talk to it from the chat app your team already uses. It comes back with drafts, reminders, summaries and jobs ready for approval.
Plain English version
Most people start with AI by asking it to clean up an email. Handy. Tiny. AgentBox is for the checking, chasing, preparing and reminding that comes back every week like it pays rent.
You ask a question. It gives an answer. Then you still find the files, open the apps, remember the process and do the work.
It has a place to run, approved tools, local memory, written instructions and clear approval rules. It helps move the job from “someone should” to “ready to review.”
Agentic, minus the theatre
Old automation follows a fixed recipe: do this, then that, then panic quietly when something changes.
An agent works toward an outcome. You can say, “prepare the overdue invoice follow-ups” or “get the quote pack ready.” It checks what it needs, uses approved tools, drafts the result, and asks when a human should decide.
That is the difference. The point is not button pressing. The point is useful work, ready for a person to trust.
Why the monthly fee should behave itself
If AgentBox only saves a few minutes, do not buy it. The point is to attack work that quietly costs the business thousands: missed jobs, late quotes, document chasing, owner admin, compliance scramble and avoidable mistakes.
Five hours a week at A$70/hr is A$18,200 a year, before rework, delays and owner stress join the party.
If slow replies lose one A$1,500 job a month, that is A$18,000 a year politely leaving through the side door.
Two hours a day of owner admin at A$120/hr is A$62,400 a year of expensive brainpower doing inbox cosplay.
Site forms, accreditation folders, incident notes and missing documents are not glamorous. They are where Friday afternoons go to disappear.
Illustrative numbers only. Every setup starts by picking one workflow where the saving is obvious enough to justify doing it properly.
What it can do
If a careful admin can do it on a computer, the agent can usually be trained to help with the repeatable parts.
Business use cases
AgentBox works best where admin, paperwork and customer follow-up sit between the owner and the work that actually makes money.
Fewer missed jobs. Faster quotes. Less admin after 5pm.
Project admin, site safety and paperwork kept moving.
Less chasing. Cleaner files. Better prepared reviews.
Front-desk pressure relief. Admin help only, not clinical advice.
Sensitive admin handled with clear approval rules.
Job cards, parts, reminders and warranty paperwork without the mess.
Guest replies, owners, cleaners, supplies and maintenance kept moving.
Document-heavy work prepared, checked and chased.
Orders, stock, suppliers and customer questions handled faster.
Vehicles, jobs, drivers and paperwork under control.
Tools we can work with
No trophy-wall partnership claims. These are everyday tools AgentBox can connect to, read from, draft inside, or work around once the client approves access.
How it works
The client does not need a systems diagram. They need to know where it lives, what it can touch, how it learns the business, and how the team talks to it.
Most AI products live in a browser and wait for someone to remember they exist. AgentBox gets a proper place to run in the office, with approved tools, memory, workflows and support around it.
Installed on a Mac mini or similar local machine in the office. We set up a Mac mini or similar machine in the office, with agreed access and support rules.
We install the agent software, the part that can use approved tools instead of only chatting politely.
We give it memory: step-by-step instructions, preferences, file maps, approval rules and the little business quirks people usually keep in their heads.
We train repeat jobs with examples, then connect approved tools, files, apps and workflows.
Draft first. Ask before money movement, payroll, medical, legal, sensitive messages or critical record changes.
You talk to AgentBox in Telegram or Slack. Ask for a quote pack, a chase list, a summary or the next ugly admin job. Simple as that.
What we set up
One trusted workflow beats thirty shiny half-ideas. We start small enough to trust, then expand once it has earned its desk.
AgentBox comes from the same crew building and operating AI-enabled systems inside those companies. Not a lab demo. A repeatable way to turn messy business work into something an agent can prepare, chase, summarise and hand back for approval.
Brolly is where the AgentBox operating pattern gets pressure-tested: product planning, support signals, documentation, founder admin and follow-up work are pushed into cleaner workflows instead of living in someone’s head.
Yathra Business systems and client operationsYathra uses the same agent-first discipline around service ops, client admin, reconciliation prep, website updates and system handoffs: less hunting, clearer next actions and fewer loose ends.
The same lesson keeps coming up: the value is not “AI content”. It is clearer handoffs, fewer forgotten follow-ups, faster prep work, and a business memory that survives past one overloaded person.
When a client workflow needs field knowledge, we bring in the right practical advisor so AgentBox learns how the work actually gets done.
Premium pricing
If the workflow is not worth thousands to fix, we should not build it. Monthly care should be easy to justify against recovered time, faster quoting, avoided hires, cleaner paperwork or fewer expensive mistakes. If the first workflow cannot plausibly pay for the care, we should pick a better one or not start.
From A$9,500 setup
Then from A$1,250 / month
Best for proving one painful workflow properly.
From A$18,000 setup
Then from A$2,500 / month
Best for owner-led businesses with several repeat admin jobs.
A$35,000+ setup
Managed care quoted
Best for sensitive data, multi-site operations or deeper systems work.
* Hardware, AI model usage, paid app subscriptions and specialist compliance work are separate unless included in a written quote.
Human control and safety
Emails, quotes, reports and updates can be prepared for a person to review.
Money, payroll, medical, legal and sensitive actions stop for a human yes.
The business can inspect the notes, step-by-step instructions and rules the agent is using.
We use real examples before trusting the agent with repeat work.
Start simple
We will help you choose the workflow where AgentBox should earn its keep first: what it costs now, what access is needed, what must stay human-approved, and what it will likely cost to set up.
FAQ for busy owners
The short version: keep access narrow, keep secrets out of memory, and keep humans in charge of risky actions.
In the setup we design with you. The agent usually runs on a local Mac mini or similar box. Your business data stays in the approved systems you already use: Google Drive, Microsoft 365, Xero, your customer database / CRM, job system, file server or booking tool. If we connect a cloud app, that app still holds its own data. We do not shovel everything into one mystery bucket.
No. Passwords and API keys — digital spare keys for apps — belong in a password manager such as 1Password. AgentBox can request approved secrets for a specific job instead of pasting them into memory or random setup files. The agent memory is not a password drawer.
Email, calendars, files, accounting tools, customer databases, job systems, support desks, forms, spreadsheets, databases, Slack, Telegram, Teams and custom app connections where the app allows safe access. We start with the workflow, then connect only the tools needed for that job.
Memory is a tidy set of business notes, rules, step-by-step instructions, file maps and approval instructions. It might know how you quote, who signs off, where job photos live, what tone your customer emails use and which tasks must stop for approval. Good memory is selected and tidy. Hoarding everything is how you build a clever filing cabinet fire.
ChatGPT is mostly a brain in a chat window. AgentBox adds the operating layer around the brain: a local machine, business memory, approved tools, repeat workflows, approval rules and handover notes. The brain and memory are separate. You can change the AI model later without throwing away the business memory and workflows.
Only where we explicitly allow it. Drafts, summaries, reminders and prep work can run with lighter approval. Money movement, payroll, medical, legal, sensitive messages and critical record changes stop for a human yes. Annoying approval beats expensive chaos.
It should not. We start with the smallest useful access: one workflow, the folders and apps it needs, and clear approval rules. More access comes later if it has earned trust.
Sensitive work needs a tighter setup: narrower access, clearer approvals, better records of what happened, private AI model options where needed and human review for anything risky. Some tasks should stay human-only. We would rather say that upfront than pretend every workflow belongs in an agent.
You own your business data, documents, step-by-step instructions, connected accounts and the memory we build for your workflows. We document the setup so it is not a weird black box only one person understands.
Pick one painful repeat workflow. We map the apps, files, examples, decisions and approval points. Then we test it on real work before expanding. Boring on purpose. That is how useful systems survive contact with Monday morning.